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2026

A Comparative Study of Bangla Social Media Cyberbullying Detection Integrating Machine Learning and Blockchain Technology(Accepted and Waiting for Publication)
Sakib, M.N., Naeem, J., Aktar, M.N., Hossain, A., Noor, N.U., Rahman, K.M., Ullah, A. and Hossain, M.A., 2026. A Comparative Study of Bangla Social Media Cyberbullying Detection Integrating Machine Learning and Blockchain Technology. In: International Conference on Electrical, Computer and Communication Technologies (ECCT 2026). Waiting for Publication
Research output : Contribution to chapter › Article › peer-review
Ahsan Ullah
Inter-Arrival Time Driven Intrusion Detection for DoS Traffic in Cloud Networks Using SMOTE-Enhanced Deep Learning Optimization
Hossain, M.A., Hasan, H.M.A., Noor, N.U., Ullah, A., Naeem, J., Sarkar, M.S. and Rahman, K.M., 2026. Inter-Arrival Time Driven Intrusion Detection for DoS Traffic in Cloud Networks Using SMOTE-Enhanced Deep Learning Optimization. In: 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Chittagong, Bangladesh, 16–18 April 2026.
Research output : Contribution to conference › Article › peer-review
Ahsan Ullah
Feature Selection-Based Multi-Layered Ransomware Detection Approach Using Ensemble Machine Learning
Un Noor, N., Hasan, H.M.A., Hossain, M.A., Ullah, A., Naeem, J., Rahman, K.M. and Emee, A.F., 2026. Feature Selection-Based Multi-Layered Ransomware Detection Approach Using Ensemble Machine Learning. In: 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Chittagong, Bangladesh, 16–18 April 2026.
Research output : Contribution to conference › Article › peer-review
Ahsan Ullah
Assessing the Effect of Intelligent Learning Platforms on Academic Performance of University Students in Bangladesh
Emon, M.M.H., Rahman, K.M., Ahmed, M., Islam, M.R., Nath, A. and Kutub, J., 2025. Assessing the Effect of Intelligent Learning Platforms on Academic Performance of University Students in Bangladesh. In: 2025 IEEE 4th International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON). IEEE.
Research output : Contribution to conference › Paper › peer-review
Kh. Mustafizur Rahman
An Efficient Machine Learning Based System for Recommendation of Suitable Crop Cultivation Using Soil Mapping Features
Sarkar, M.S., Sakib, M.N., Rahman, K.M., Khan, M.M., Hossain, M.I. and Karim, R., 2025. An Efficient Machine Learning Based System for Recommendation of Suitable Crop Cultivation Using Soil Mapping Features. In: 2025 IEEE 4th International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON). IEEE.
Research output : Contribution to conference › Paper › peer-review
Kh. Mustafizur Rahman
A Hybrid CNN-Transformer Framework for Automated Stroke Detection in Brain CT with Grad-CAM
Noor, N.U., Hossain, M.A., Nishat, F.Z., Sarkar, M.S., Afrin, S. and Rahman, K.M., 2025. A Hybrid CNN-Transformer Framework for Automated Stroke Detection in Brain CT with Grad-CAM. In: 2025 28th International Conference on Computer and Information Technology (ICCIT). IEEE.
Research output : Contribution to conference › Paper › peer-review
Kh. Mustafizur Rahman
BDNN Based Enhanced Hybrid Ensemble Framework for Robust Phishing Detection and Secure Real-Time Deployment
Ullah, A., Jabir, A., Sultana, A., Hossain, M.A., Noor, N.U. and Rahman, K.M., 2025. BDNN Based Enhanced Hybrid Ensemble Framework for Robust Phishing Detection and Secure Real-Time Deployment. In: 2025 28th International Conference on Computer and Information Technology (ICCIT). IEEE.
Research output : Contribution to conference › Paper › peer-review
Kh. Mustafizur Rahman
A Resilient Deep Learning Based Model for Automated Detection of Cardiovascular Abnormalities in ECG Images with Grad-CAM XAI
Sarkar, M.S., Rahman, K.M., Noor, N.U., Hossain, M.A., Karim, R. and Rifat, H.H., 2025. A Resilient Deep Learning Based Model for Automated Detection of Cardiovascular Abnormalities in ECG Images with Grad-CAM XAI. In: 2025 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON). IEEE.
Research output : Contribution to conference › Paper › peer-review
Kh. Mustafizur Rahman
Effect of Intelligent Cybersecurity Systems on Data Protection and Breach Reduction in Bangladeshi IT Firms
Rahman, K.M., Emon, M.M.H., Islam, M.S., Ahmed, M., Siam, S.A.J. and Rifat, H.H., 2025. Effect of Intelligent Cybersecurity Systems on Data Protection and Breach Reduction in Bangladeshi IT Firms. In: 2025 IEEE 4th International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON). IEEE.
Research output : Contribution to conference › Paper › peer-review
Kh. Mustafizur Rahman
AI-Driven Knowledge Management Systems and Their Effect on Innovation Capability of Bangladeshi SMEs
Rahman, K.M., Emon, M.M.H., Nath, A., Khan, S.R., Islam, M.M.U. and Rifat, H.H., 2025. AI-Driven Knowledge Management Systems and Their Effect on Innovation Capability of Bangladeshi SMEs. In: 2025 28th International Conference on Computer and Information Technology (ICCIT). IEEE.
Research output : Contribution to conference › Paper › peer-review
Kh. Mustafizur Rahman
AI Enabled Industry 4.0 Practices for Enhancing Sustainability Performance: Evidence from Manufacturing Firms in an Emerging Economy
Emon, M.M.H., Rahman, K.M., Ahmed, M., Chowdhury, M.S.A., Emee, A.F. and Kutub, J., 2026. AI Enabled Industry 4.0 Practices for Enhancing Sustainability Performance: Evidence from Manufacturing Firms in an Emerging Economy. In: 2026 5th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE). IEEE.
Research output : Contribution to conference › Paper › peer-review
Kh. Mustafizur Rahman
Exploring Generative AI Adoption in Strategic Brand Storytelling Among Bangladeshi Consumer Brands
Emon, M.M.H., Nath, A., Rahman, K.M., Ahmed, M., Kutub, J. and Rifat, H.H., 2025. Exploring Generative AI Adoption in Strategic Brand Storytelling Among Bangladeshi Consumer Brands. In: 2025 28th International Conference on Computer and Information Technology (ICCIT). IEEE.
Research output : Contribution to conference › Paper › peer-review
Kh. Mustafizur Rahman
Exploring Drivers of Sustainable E-Commerce Adoption among SMEs in Bangladesh: A TOE Framework Approach for Industry 5.0 Transformation
Emon, M.M.H., Rahman, K.M., Nath, A., Islam, M.M.U., Rifat, H.H. and Kutub, J., 2025. Exploring Drivers of Sustainable E-Commerce Adoption among SMEs in Bangladesh: A TOE Framework Approach for Industry 5.0 Transformation. In: 2025 IEEE 7th International Conference on Sustainable Technologies For Industry 5.0 (STI). IEEE.
Research output : Contribution to conference › Paper › peer-review
Kh. Mustafizur Rahman
Examining the Determinants of Generative AI Utilization for SEO and Content Marketing: A TOE Approach in the Bangladeshi Digital Space
Emon, M.M.H., Nath, A., Rahman, K.M., Islam, M.M.U., Niloy, G.B. and Rifat, M., 2025. Examining the Determinants of Generative AI Utilization for SEO and Content Marketing: A TOE Approach in the Bangladeshi Digital Space. In: 2025 IEEE 2nd International Conference on Computing, Applications and Systems (COMPAS). IEEE.
Research output : Contribution to conference › Paper › peer-review
Kh. Mustafizur Rahman
Evaluating Artificial Intelligence Integration for Improving Supply Chain Efficiency in the Context of Bangladesh’s E-Commerce Sector
Emon, M.M.H., Nath, A., Rahman, K.M., Kutub, J., Rifat, H.H. and Islam, M.M.U., 2025. Evaluating Artificial Intelligence Integration for Improving Supply Chain Efficiency in the Context of Bangladesh’s E-Commerce Sector. In: 2025 IEEE 7th International Conference on Sustainable Technologies For Industry 5.0 (STI). IEEE.
Research output : Contribution to conference › Paper › peer-review
Kh. Mustafizur Rahman
Exploring the Impact of AI-Powered Content Moderation on Social Media Engagement in Bangladesh
Emon, M.M.H., Rahman, K.M., Ahmed, M., Nath, A., Kutub, J. and Islam, M.R., 2025. Exploring the Impact of AI-Powered Content Moderation on Social Media Engagement in Bangladesh. In: 2025 28th International Conference on Computer and Information Technology (ICCIT). IEEE.
Research output : Contribution to conference › Paper › peer-review
Kh. Mustafizur Rahman
Understanding Employees’ Behavioral Intentions Toward Cybersecurity Adoption in Banks: Evidence from an Emerging Economy
Emon, M.M.H., Rahman, K.M., Ahmed, M., Islam, M.R., Kabir, S.M.I. and Emee, A.F., 2026. Understanding Employees’ Behavioral Intentions Toward Cybersecurity Adoption in Banks: Evidence from an Emerging Economy. In: 2026 5th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE). IEEE.
Research output : Contribution to conference › Paper › peer-review
Kh. Mustafizur Rahman
Understanding User Adoption of Cybersecurity Practices through Awareness and Perception for Enhancing Network Security in Bangladesh
Emon, M.M.H., Rahman, K.M., Nath, A., Fuad, M.N., Kabir, S.M.I. and Emee, A.F., 2025. Understanding User Adoption of Cybersecurity Practices through Awareness and Perception for Enhancing Network Security in Bangladesh. In: 2025 IEEE 2nd International Conference on Computing, Applications and Systems (COMPAS). IEEE.
Research output : Contribution to conference › Article › peer-review
Kh. Mustafizur Rahman
Determinants of Explainable AI Adoption in Customer Service Chatbots: Insights from the Telecom Sector of Bangladesh
Emon, M.M.H., Rahman, K.M., Islam, M.S., Nath, A., Kutub, J. and Santa, N.A., 2025. Determinants of Explainable AI Adoption in Customer Service Chatbots: Insights from the Telecom Sector of Bangladesh. In: 2025 IEEE 7th International Conference on Sustainable Technologies for Industry 5.0 (STI), Dhaka, Bangladesh, 11–12 December 2025. New York: IEEE
Research output : Contribution to conference › Paper › peer-review
Kh. Mustafizur Rahman
Comparative Deep Learning and Explainable AI Approaches for Automated Detection of Arsenic Skin Lesions
Antor, M.S.U.M., Podder, N.K., Aman, N., Haque, M.R., Arjon, S.S. and Yasmin, T., 2025. Comparative deep learning and explainable AI approaches for automated detection of arsenic skin lesions. In: 2025 IEEE 2nd International Conference on Computing, Applications and Systems (COMPAS), Kushtia, Bangladesh, 23–24 October 2025. Piscataway, NJ: IEEE. https://doi.org/10.1109/COMPAS67506.2025.11381857
Research output : Contribution to conference › Article › peer-review
Md. Raihanul Haque
A Novel Hybrid Deep Learning Model for Alzheimer’s Disease Stage Classification Using MRI
Arjon, S.S., Yasmin, T., Mondol, A.K., Haque, M.R., Uddin, M.R. and Aman, N., 2025. A novel hybrid deep learning model for Alzheimer’s disease stage classification using MRI. In: 2025 IEEE 2nd International Conference on Computing, Applications and Systems (COMPAS), Kushtia, Bangladesh, 23–24 October 2025. Piscataway, NJ: IEEE. https://doi.org/10.1109/COMPAS67506.2025.11381658
Research output : Contribution to conference › Article › peer-review
Md. Raihanul Haque
Bangla Speech Emotion Recognition Using 3D-CNN: A Multi-corpus and Cross-Lingual Study
Islam, M.H., Podder, N.K., Sakib, M.N., Mondol, A.K., Haque, M.R. and Chaity, M., 2025. Bangla Speech Emotion Recognition Using 3D-CNN: A Multi-corpus and Cross-Lingual Study. In International Conference on Data Science, AI and Applications (pp. 471-485). Springer, Cham.
Research output : Contribution to chapter › Chapter › peer-review
Md. Raihanul Haque
Network-Based Approaches and Gene Expression Profiling to Identify the Molecular Mechanism of Stomach Cancer
Mia, M.N., Podder, N.K., Zim, S.M., Haque, M.R. and Ghosh, R., 2025. Network-Based Approaches and Gene Expression Profiling to Identify the Molecular Mechanism of Stomach Cancer. In International Conference on Data Science, AI and Applications (pp. 1-14). Springer, Cham.
Research output : Contribution to chapter › Chapter › peer-review
Md. Raihanul Haque
Comparative Analysis of Classification and Regression Models for Schizophrenia Risk Prediction
Hossain, S.M., Podder, N.K., Haque, M.R. and Asma, T.R., 2025. Comparative Analysis of Classification and Regression Models for Schizophrenia Risk Prediction. In International Conference on Data Science, AI and Applications (pp. 27-41). Springer, Cham.
Research output : Contribution to chapter › Chapter › peer-review
Md. Raihanul Haque
A Review for Bridging Clinical and Technical Gaps with Hybrid-ML in Schizophrenia Diagnosis
Hossain, S.M., Podder, N.K., Haque, M.R. and Asma, T.R., 2025. A Review for Bridging Clinical and Technical Gaps with Hybrid-ML in Schizophrenia Diagnosis. In International Conference on Data Science, AI and Applications (pp. 42-55). Springer, Cham.
Research output : Contribution to chapter › Chapter › peer-review
Md. Raihanul Haque
A Systems Biology Approach to Identify Shared Genetic Signatures Between Dengue and Comorbidities
Haque, M.R., Podder, N.K., Hossain, S.M., Akter, P., Zim, S.M. and Chaity, M., 2025. A Systems Biology Approach to Identify Shared Genetic Signatures Between Dengue and Comorbidities. In International Conference on Data Science, AI and Applications (pp. 405-420). Springer, Cham.
Research output : Contribution to chapter › Chapter › peer-review
Md. Raihanul Haque
Feature Selection-Based Multi-Layered Ransomware Detection Approach Using Ensemble Machine Learning
Un Noor, N., Hasan, H.M.A., Hossain, M.A., Ullah, A., Naeem, J., Rahman, K.M. and Emee, A.F., 2026. Feature Selection-Based Multi-Layered Ransomware Detection Approach Using Ensemble Machine Learning. In: 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Chittagong, Bangladesh, 16–18 April 2026.
Research output : Contribution to conference › Article › peer-review
Noshin Un Noor
A Comparative Study of Bangla Social Media Cyberbullying Detection Integrating Machine Learning and Blockchain Technology
Sakib, M.N., Naeem, J., Aktar, M.N., Hossain, A., Noor, N.U., Rahman, K.M., Ullah, A. and Hossain, M.A., 2026. A Comparative Study of Bangla Social Media Cyberbullying Detection Integrating Machine Learning and Blockchain Technology. In: International Conference on Electrical, Computer and Communication Technologies (ECCT 2026).
Research output : Contribution to chapter › Article › peer-review
Mohammad Anwar Hossain
A Hybrid CNN-Transformer Framework for Automated Stroke Detection in Brain CT with Grad-CAM
Noor, N.U., Hossain, M.A., Nishat, F.Z., Sarkar, M.S., Afrin, S. and Rahman, K.M., 2025, December. A Hybrid CNN-Transformer Framework for Automated Stroke Detection in Brain CT with Grad-CAM. In 2025 28th International Conference on Computer and Information Technology (ICCIT) (pp. 1998-2003). IEEE.
Research output : Contribution to conference › Article › peer-review
Sadia Afrin
Inter-Arrival Time Driven Intrusion Detection for DoS Traffic in Cloud Networks Using SMOTE-Enhanced Deep Learning Optimization
Hossain, M.A., Hasan, H.M.A., Noor, N.U., Ullah, A., Naeem, J., Sarkar, M.S. and Rahman, K.M., 2026. Inter-Arrival Time Driven Intrusion Detection for DoS Traffic in Cloud Networks Using SMOTE-Enhanced Deep Learning Optimization. In: 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Chittagong, Bangladesh, 16–18 April 2026.
Research output : Contribution to conference › Article › peer-review
Noshin Un Noor
Feature Selection-Based Multi-Layered Ransomware Detection Approach Using Ensemble Machine Learning
Un Noor, N., Hasan, H.M.A., Hossain, M.A., Ullah, A., Naeem, J., Rahman, K.M. and Emee, A.F., 2026. Feature Selection-Based Multi-Layered Ransomware Detection Approach Using Ensemble Machine Learning. In: 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Chittagong, Bangladesh, 16–18 April 2026.
Research output : Contribution to conference › Article › peer-review
Mohammad Anwar Hossain
A Comparative Study of Bangla Social Media Cyberbullying Detection Integrating Machine Learning and Blockchain Technology
Sakib, M.N., Naeem, J., Aktar, M.N., Hossain, A., Noor, N.U., Rahman, K.M., Ullah, A. and Hossain, M.A., 2026. A Comparative Study of Bangla Social Media Cyberbullying Detection Integrating Machine Learning and Blockchain Technology. In: International Conference on Electrical, Computer and Communication Technologies (ECCT 2026).
Research output : Contribution to chapter › Article › peer-review
Noshin Un Noor
Comparing deep learning frameworks for air quality index (AQI) prediction in Bangladesh: Static vs. year-wise forecasting evaluation
Research output : Contribution to conference › Paper › peer-review
Fariha Zaman Nishat
A hybrid CNNTransformer framework for automated stroke detection in brain CT with Grad-CAM
Research output : Contribution to conference › Paper › peer-review
Fariha Zaman Nishat
StrokeXNet: A novel CNN–transformer fusion with interpretable attention for robust brain MRI stroke detection
Research output : Contribution to conference › Paper › peer-review
Fariha Zaman Nishat
A Review for Bridging Clinical and Technical Gaps with Hybrid ML in Schizophrenia Diagnosis
S. M. Hossain, N. K. Podder, M. R. Haque, P. Akter, and T. R. Asma, “A Review for Bridging Clinical and Technical Gaps with Hybrid ML in Schizophrenia Diagnosis”, AIA, Jun. 2026, doi: 10.47852/bonviewAIA62028369.
Research output : Contribution to journal › Review › peer-review
Md. Raihanul Haque
Inter-Arrival Time Driven Intrusion Detection for DoS Traffic in Cloud Networks Using SMOTE-Enhanced Deep Learning Optimization
Hossain, M.A., Hasan, H.M.A., Noor, N.U., Ullah, A., Naeem, J., Sarkar, M.S. and Rahman, K.M., 2026. Inter-Arrival Time Driven Intrusion Detection for DoS Traffic in Cloud Networks Using SMOTE-Enhanced Deep Learning Optimization. In: 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Chittagong, Bangladesh, 16–18 April 2026.
Research output : Contribution to conference › Article › peer-review
Mohammad Anwar Hossain
Performance Comparison of CNN Architectures for Multi-class Chest X-Ray Classification of COVID-19 and Pneumonia
Haque, M.R., Islam, M.R., Arjon, S.S., Antor, M.S.U.M., Yasmin, T. and Uddin, M.R. (2026) ‘Performance comparison of CNN architectures for multi-class chest X-ray classification of COVID-19 and pneumonia’, Lecture Notes in Networks and Systems, pp. 299–312. Available at: https://doi.org/10.1007/978-3-032-15346-3_21
Research output : Contribution to chapter › Article › peer-review
Md. Raihanul Haque
Explainable Deep CNN Framework for Clinically Transparent and Accurate Brain Tumor Classification from MRI
Arjon, S.S., Yasmin, T., Mondol, A.K., Haque, M.R., Uddin, Md.R. and Aman, N. (2025). Explainable Deep CNN Framework for Clinically Transparent and Accurate Brain Tumor Classification from MRI. 2025 28th International Conference on Computer and Information Technology (ICCIT), pp.78–83. doi:https://doi.org/10.1109/iccit68739.2025.11490136
Research output : Contribution to conference › Paper › peer-review
Md. Raihanul Haque
A Comprehensive XAI-Driven Ensemble Learning Framework Integrating Adaptive Synthetic Sampling for Robust Prediction of Mental Illness
Hassan, Md.T., Swarna, S.S., Hassan, Md.M., Siddika, A., Hossain, M.T. and Joti, Most.S.S. (2025). A Comprehensive XAI-Driven Ensemble Learning Framework Integrating Adaptive Synthetic Sampling for Robust Prediction of Mental Illness. 2025 28th International Conference on Computer and Information Technology (ICCIT), [online] pp.5638–5643. doi:https://doi.org/10.1109/iccit68739.2025.11490158.
Research output : Contribution to conference › Paper › peer-review
Md Tanzim Hossain
Melanoma Classification Using CNNs and Vision Transformers with Explainable AI
Yasmin, T., Arjon, S.S., Mondol, A.K., Haque, M.R., Uddin, Md.R. and Aman, N. (2025). Melanoma Classification Using CNNs and Vision Transformers with Explainable AI. 2025 28th International Conference on Computer and Information Technology (ICCIT), pp.24–29. doi:https://doi.org/10.1109/iccit68739.2025.11490099.
Research output : Contribution to conference › Paper › peer-review
Md. Raihanul Haque
Deep Learning-Based Automated Detection of Tuberculosis from Chest X-Rays: A Comparative Study of State-of-the-Art Architectures
Yasmin, T., Arjon, S.S., Mondol, A.K., Haque, M.R., Uddin, Md.R. and Aman, N. (2025). Deep Learning-Based Automated Detection of Tuberculosis from Chest X-Rays: A Comparative Study of State-of-the-Art Architectures. 2025 28th International Conference on Computer and Information Technology (ICCIT), pp.42–47. doi:https://doi.org/10.1109/iccit68739.2025.11491176.
Research output : Contribution to conference › Paper › peer-review
Md. Raihanul Haque

2025

Advanced Skin Disease Diagnosis and Treatment: Leveraging Convolutional Neural Networks for Image-Based Prediction and Comprehensive Health Assistance
Noor, N. , Hossain, M. , Hossain, M. , Hasan, M. , Amin, M. , Nahar, S. , Ullah, A. and Hassan, M. (2025) Advanced Skin Disease Diagnosis and Treatment: Leveraging Convolutional Neural Networks for Image-Based Prediction and Comprehensive Health Assistance. Open Journal of Medical Imaging, 15, 1-29. doi: 10.4236/ojmi.2025.151001.
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
A Novel Hybrid Quantum Framework for Assessing Noise Effects on Performance of Shor’s Algorithm
Research output : Contribution to journal › Paper › peer-review
Shamsun Nahar
Real-Time Unconscious Human Behavior Detection Incorporating Enhanced CSPDarknet53 and YOLOv9
"Md.Nazmus Sakib, Mst.Nishita Aktar, Afzal Hossain, Ahsan Ullah, Kh.Mustafizur Rahman, Shamsun Nahar, Jannatul Ferdous Mirza, and Md. Mahmud Khan, 2nd International Conference Artificial Intelligence, Machine learning & Intelligent Systems (ICAMS-2025) "
Research output : Contribution to conference › Article › peer-review
Ahsan Ullah
IoT-Enabled Hysteresis Control System for Enhanced Photovoltaic Panel Performance in Rural Solar Applications
M. A. Hossain et al., "IoT-Enabled Hysteresis Control System for Enhanced Photovoltaic Panel Performance in Rural Solar Applications," 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Rangpur, Bangladesh, 2025, pp. 1-6, doi: 10.1109/QPAIN66474.2025.11172215.
Research output : Contribution to conference › Article › peer-review
Ahsan Ullah
Enhanced Malaria Diagnosis via Hybrid CNN-Transformer Ensemble Learning: A Step Towards Automated Health Systems
Ahsan ullah. et al, 2025, December. Enhanced Malaria Diagnosis via Hybrid CNN-Transformer Ensemble Learning: A Step Towards Automated Health Systems. In 2025 28th International Conference on Computer and Information Technology (ICCIT). IEEE.
Research output : Contribution to conference › Article › peer-review
Ahsan Ullah
Adversarial Training for Fraud Detection in Mobile Finance in Bangladesh: A Hybrid Approach Using Machine Learning(Accepted and Waiting for Publication)
Mohammad Anwar Hossain, Noshin Un Noor, Kh. Mustafizur Rahman, Shamsun Nahar, Md. Nazmus Sakib, Ahsan Ullah, 2025, December. Adversarial Training for Fraud Detection in Mobile Finance in Bangladesh: A Hybrid Approach Using Machine Learning . In 2025 IEEE International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON)). IEEE.
Research output : Contribution to conference › Article › peer-review
Ahsan Ullah
A Decentralized Blockchain-based Voting System: Ensuring Security, Transparency, and Trust Using Ethereum
Mohammad Anwar Hossain, Ahsan Ullah, et al, 2025, December. A Decentralized Blockchain-based Voting System: Ensuring Security, Transparency, and Trust Using Ethereum . In 2025 28th International Conference on Computer and Information Technology (ICCIT). IEEE.
Research output : Contribution to conference › Article › peer-review
Ahsan Ullah
BDNN based Enhanced Hybrid Ensemble Framework for Robust Phishing Detection and Secure Real-Time Deployment
Ahsan Ullah, et al, 2025, December. BDNN based Enhanced Hybrid Ensemble Framework for Robust Phishing Detection and Secure Real-Time Deployment . In 2025 28th International Conference on Computer and Information Technology (ICCIT) (pp. 1809-1814). IEEE.
Research output : Contribution to conference › Article › peer-review
Ahsan Ullah
Balanced Deep Neural Network (BDNN) for Scalable, Real-Time Phishing URL Detection Using Hybrid Machine Learning and Deep Learning Ensembles
Ahsan Ullah, et al, 2025, December. Balanced Deep Neural Network (BDNN) for Scalable, Real-Time Phishing URL Detection Using Hybrid Machine Learning and Deep Learning Ensembles. 2025 IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON), IEEE.
Research output : Contribution to conference › Article › peer-review
Ahsan Ullah
IoT-Enabled Hysteresis Control System for Enhanced Photovoltaic Panel Performance in Rural Solar Applications
Research output : Contribution to conference › Paper › peer-review
Shamsun Nahar
Smart Livestock Guardian: Internet of Things Driven Real-Time Health and Location Analytics
Research output : Contribution to journal › Paper › peer-review
Shamsun Nahar
Advancement in Neuroimaging: Automated Identification of Brain Stroke through Machine Learning
Research output : Contribution to conference › Paper › peer-review
Shamsun Nahar
5G Network Vulnerabilities: A Security Mechanism for Detecting and Blocking DDoS Threats at the Network Edge
Mahmud, S., Ullah, A., Shipon, S. H., Hassan, M. and Sakib, M. N. (2025) 5G Network Vulnerabilities: A Security Mechanism for Detecting and Blocking DDoS Threats at the Network Edge . Journal of Information Security, 16, 472-499. doi: 10.4236/jis.2025.164024.
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
[Under Review] DPMClusterNet: Unsupervised Clustering of Human Activities from Skeleton Data
Research output : Contribution to journal › Article › peer-review
Dr. Md Amran Hossen
[Under Review] Deep Attention Activity Network (DAANet): Enhanced Human Activity Recognition with Automatic Segmentation of Skeleton-Based Human Activities
Research output : Contribution to journal › Article › peer-review
Dr. Md Amran Hossen
Advanced Skin Disease Diagnosis and Treatment: Leveraging Convolutional Neural Networks for Image-Based Prediction and Comprehensive Health Assistance
Research output : Contribution to journal › Article › peer-review
Shamsun Nahar
Comparative Analysis of Deep Learning Techniques for Rice Leaf Disease Detection: Object Detection and YOLO Model Evaluation
Research output : Contribution to conference › Article › peer-review
Shamsun Nahar
Machine Learning for Human Activity Recognition: State-of-the-Art Techniques and Emerging Trends
Research output : Contribution to journal › Article › peer-review
Dr. Md Amran Hossen
Smart Livestock Guardian: Internet of Things-Driven Real-Time Health and Location Analytics
Hossain, M. , Noor, N. , Nahar, S. , Islam, M. , Shishir, M. , Paul, A. , Hossain, T. , Ullah, A. , Chakraborty, A. and Hossain, M. (2025) Smart Livestock Guardian: Internet of Things-Driven Real-Time Health and Location Analytics. Advances in Internet of Things, 15, 61-86. doi: 10.4236/ait.2025.153004.
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
Assessing of software security reliability: Dimensional security assurance techniques
Mohammad Ali and Ahsan Ullah and Md. Rashedul Islam and Rifat Hossain, "Assessing of software security reliability: Dimensional security assurance techniques" Computers & Security,volume=150p,ages = 104230,year = 2025,issn = 0167-4048
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
Adversarial Training for Fraud Detection in Mobile Finance in Bangladesh: A Hybrid Approach Using Machine Learning
Research output : Contribution to conference › Article › peer-review
Shamsun Nahar
Real-Time Unconscious Human Behavior Detection Incorporating Enhanced CSPDarknet53 and YOLOv9
Research output : Contribution to conference › Article › peer-review
Shamsun Nahar
The Role of AI in Driving Customer Engagement Through Technological, Organizational and Environmental Enablers in E-Commerce
Khan, T., Emon, M.M.H., Rahman, K.M., Nipa, M.N. and Fuad, M.N., 2025. The Role of AI in Driving Customer Engagement Through Technological, Organizational and Environmental Enablers in E-Commerce. In: 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN). IEEE.
Research output : Contribution to conference › Paper › peer-review
Kh. Mustafizur Rahman
The Role of AI in Driving Customer Engagement Through Technological, Organizational and Environmental Enablers in E-Commerce
Tahsina Khan; Md Mehedi Hasan Emon; Kh. Mustafizur Rahman; Meherun Nisa Nipa; Md. Nafis Fuad: The Role of AI in Driving Customer Engagement Through Technological, Organizational and Environmental Enablers in E-Commerce
Research output : Contribution to journal › Paper › peer-review
Kh. Mustafizur Rahman
Md Habibullah Shakib, Md. Yeasin, Kh Mustafizur Rahman, Fabiha Faiz Mahi, Saddam Hossain (2025), 'Active learning model used for android malware detection'. Machine Learning with Applications. (Volume 21) doi:10.1016/j.mlwa.2025.100680
Research output : Contribution to journal › Paper › peer-review
Kh. Mustafizur Rahman
A Novel Hybrid Quantum Framework for Assessing Noise Effects on Performance of Shor’s Algorithm
Research output : Contribution to journal › Article › peer-review
Kh. Mustafizur Rahman
Mst. Nishita Aktar, Sornali Akter, Md. Nusaim Islam Saad, Jakir Hosen Jisun, Kh. Mustafizur Rahman, Md. Nazmus Sakib. A Comparative Study of Watering Hole Attack Detection Using Supervised Neural Network “International Conference on Cognitive Computing and Artificial Intelligence (ICCCAI-2024) in association with Taylor's University, Malaysia"
Research output : Contribution to conference › Article › peer-review
Kh. Mustafizur Rahman
Enhancing Drinking Water Quality Assessment: An Exploration of Elemental Composition for Drinkable Water. 
Hassan, M.M., Noor, N.U., Hossain, M.A., Sarkar, M.S., Siddika, A. and Ghosh, S.K. (2025) Enhancing drinking water quality assessment: An exploration of elemental composition for drinkable water. 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, pp. 1-6. doi:10.1109/ECCE64574.2025.11013463.
Research output : Contribution to conference › Article › peer-review
Mohammad Anwar Hossain
Comparative Analysis of Deep Learning Techniques for Rice Leaf Disease Detection: Object Detection and YOLO Model Evaluation 
Rahman Roni, M.H., Adham Aomy, M.I., Nahar, S., Noor, N.U. & Hossain, M.A., 2025. Comparative analysis of deep learning techniques for rice leaf disease detection: Object detection and YOLO model evaluation. 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, pp.1–6. doi:10.1109/ECCE64574.2025.11012997.
Research output : Contribution to conference › Article › peer-review
Mohammad Anwar Hossain
Advanced Skin Disease Diagnosis and Treatment: Leveraging Convolutional Neural Networks for Image-Based Prediction and Comprehensive Health Assistance
Noor, N., Hossain, M., Hossain, M., Hasan, M., Amin, M., Nahar, S., Ullah, A. and Hassan, M., 2025. Advanced skin disease diagnosis and treatment: Leveraging convolutional neural networks for image-based prediction and comprehensive health assistance. Open Journal of Medical Imaging, 15, pp.1?29. https://doi.org/10.4236/ojmi.2025.151001
Research output : Contribution to journal › Article › peer-review
Mohammad Anwar Hossain
Crop health analysis system: Integrating machine learning for disease detection in agricultural images
Hossain, M.A., Khan, N.I., Noor, N.U., Rabby, F., Rahman, A. and Shill, H.C. (2025) ‘Crop health analysis system: Integrating machine learning for disease detection in agricultural images’, International Journal of Computer and Artificial Intelligence, 6(1), pp.?123–132. doi: 10.33545/27076571.2025.v6.i1b.141.
Research output : Contribution to journal › Article › peer-review
Mohammad Anwar Hossain
Flood severity classification in Bangladesh: a comprehensive analysis of historical weather and water level data using machine learning approaches
Nishat, F.Z., Nahar, N., Joti, F.I., et al., 2025. Flood severity classification in Bangladesh: a comprehensive analysis of historical weather and water level data using machine learning approaches. Natural Hazards, 121, pp.10195–10224. Available at: https://doi.org/10.1007/s11069-025-07202-6.
Research output : Contribution to journal › Article › peer-review
Fariha Zaman Nishat
 Advanced Skin Disease Diagnosis and Treatment: Leveraging Convolutional Neural Networks for Image-Based Prediction and Comprehensive Health Assistance
Noor, N., Hossain, M., Hossain, M., Hasan, M., Amin, M., Nahar, S., Ullah, A. and Hassan, M. (2025) ‘Advanced skin disease diagnosis and treatment: Leveraging convolutional neural networks for image-based prediction and comprehensive health assistance’, Open Journal of Medical Imaging, 15, pp.?1–29. doi: 10.4236/ojmi.2025.151001
Research output : Contribution to journal › Article › peer-review
Noshin Un Noor
Crop health analysis system: Integrating machine learning for disease detection in agricultural images
Hossain, M.A., Khan, N.I., Noor, N.U., Rabby, F., Rahman, A. and Shill, H.C. (2025) ‘Crop health analysis system: Integrating machine learning for disease detection in agricultural images’, International Journal of Computer and Artificial Intelligence, 6(1), pp.?123–132. doi: 10.33545/27076571.2025.v6.i1b.141
Research output : Contribution to journal › Article › peer-review
Noshin Un Noor
Genomic Insights and Systems Biology Perspectives on Comorbidities in Polycystic Ovary Syndrome
Akter, P., Podder, N.K., Chaity, M.S.A., Haque, M.R., Hossain, S.M. and Azam, M.S., 2025, July. Genomic Insights and Systems Biology Perspectives on Comorbidities in Polycystic Ovary Syndrome. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-6). IEEE.
Research output : Contribution to conference › Paper › peer-review
Md. Raihanul Haque
IoT-Enabled Hysteresis Control System for Enhanced Photovoltaic Panel Performance in Rural Solar Applications
Hossain, M.A., Noor, N.U., Hassan, M.M., Ullah, A., Nahar, S., Islam, M.M. and Yasmin, M.M. (2025) ‘IoT-enabled hysteresis control system for enhanced photovoltaic panel performance in rural solar applications’, 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Rangpur, Bangladesh, 2025, pp. 1-6, doi: 10.1109/QPAIN66474.2025.11172215.
Research output : Contribution to conference › Article › peer-review
Mohammad Anwar Hossain
Balanced Deep Neural Network (BDNN) for Scalable, Real-Time Phishing URL Detection Using Hybrid Machine Learning and Deep Learning Ensembles
Ullah, A., Hasan, H.M.A., Hossain, M.A., Noor, N.U. and Aktar, M.N., 2025. Balanced Deep Neural Network (BDNN) for Scalable, Real-Time Phishing URL Detection Using Hybrid Machine Learning and Deep Learning Ensembles. In: Proceedings of the International Conference on Signal Processing, Information, Communication and Systems 2025.
Research output : Contribution to conference › Article › peer-review
Mohammad Anwar Hossain
Deep Learning Approaches for Lung Cancer Detection: A Comprehensive Evaluation of CNN
Uddin, M.R., Arjon, S.S., Yasmin, T., Roy, U., Haque, M.R., Rahim, M.A., Aman, N., Miah, A.S.M. and Shin, J., 2025, July. Deep learning approaches for lung cancer detection: A comprehensive evaluation of cnn. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-6). IEEE.
Research output : Contribution to conference › Paper › peer-review
Md. Raihanul Haque
A Comprehensive Bioinformatics Approach to Identify Key Genes and Comorbidities of Breast Cancer
Ghosh, R., Podder, N.K., Mia, M.N., Zim, S.M.H., Haque, M.R. and Islam, M.H., 2025, July. A Comprehensive Bioinformatics Approach to Identify Key Genes and Comorbidities of Breast Cancer. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-6). IEEE.
Research output : Contribution to conference › Paper › peer-review
Md. Raihanul Haque
Integrated Bioinformatics Analysis to Identify Biomarker Genes and Pathways in Lung Cancer
Zim, S.M.H., Podder, N.K., Mia, M.N., Ghosh, R., Haque, M.R. and Islam, M.H., 2025, July. Integrated Bioinformatics Analysis to Identify Biomarker Genes and Pathways in Lung Cancer. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-6). IEEE.
Research output : Contribution to conference › Paper › peer-review
Md. Raihanul Haque
Interpretability of Heart Disease Detection Using a Robust Stacked Hybrid Model
Ekram, A.B., Hasan Shuvo, Md.N., Hossain, M.T. and Mamun, S.A. (2025). Interpretability of Heart Disease Detection Using a Robust Stacked Hybrid Model. 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), [online] pp.1–6. doi:https://doi.org/10.1109/qpain66474.2025.11172249.
Research output : Contribution to conference › Paper › peer-review
Md Tanzim Hossain
Bengali and English Languages Fake-news Identification
Naim, S.J. and Hoque, S.R., 2024, December. Bengali and English Languages Fake-news Identification. In 2024 27th International Conference on Computer and Information Technology (ICCIT) (pp. 3176-3181). IEEE.
Research output : Contribution to conference › Article › peer-review
Syeda Jannatul Naim
Uncovering DeepFake Images for Identifying Source-images
Naim, S.J. and Rumee, S.T.A., 2024, December. Uncovering DeepFake Images for Identifying Source-images. In 2024 27th International Conference on Computer and Information Technology (ICCIT) (pp. 2629-2634). IEEE.
Research output : Contribution to conference › Article › peer-review
Syeda Jannatul Naim
Enhancing Drinking Water Quality Assessment: An Exploration of Elemental Composition for Drinkable Water
Hassan, M.M., Noor, N.U., Hossain, M.A., Sarkar, M.S., Siddika, A. and Ghosh, S.K. (2025) ‘Enhancing drinking water quality assessment: An exploration of elemental composition for drinkable water’, 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, pp.?1–6. doi: 10.1109/ECCE64574.2025.11013463
Research output : Contribution to conference › Article › peer-review
Noshin Un Noor
Comparative Analysis of Deep Learning Techniques for Rice Leaf Disease Detection: Object Detection and YOLO Model Evaluation
Rahman Roni, M.H., Adham Aomy, M.I., Nahar, S., Noor, N.U. and Hossain, M.A. (2025) ‘Comparative analysis of deep learning techniques for rice leaf disease detection: Object detection and YOLO model evaluation’, 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, pp.?1–6. doi: 10.1109/ECCE64574.2025.11012997
Research output : Contribution to conference › Article › peer-review
Noshin Un Noor
Mitigating Noise from Biomedical Images Using Wavelet Transform Techniques
Rahman, A.B., Ibn Afjal, M. and Al Mamun, M.A., 2025. Mitigating noise from biomedical images using wavelet transform techniques. In: 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), pp.1–6. doi:10.1109/ECCE64574.2025.11013062.
Research output : Contribution to conference › Article › peer-review
Asadullah Bin Rahman
Smart Livestock Guardian: Internet of Things Driven Real-Time Health and Location Analytics
Hossain, M. , Noor, N. , Nahar, S. , Islam, M. , Shishir, M. , Paul, A. , Hossain, T. , Ullah, A. , Chakraborty, A. and Hossain, M. (2025) Smart Livestock Guardian: Internet of Things-Driven Real-Time Health and Location Analytics. Advances in Internet of Things, 15, 61-86. doi: 10.4236/ait.2025.153004
Research output : Contribution to journal › Article › peer-review
Noshin Un Noor
IoT-Enabled Hysteresis Control System for Enhanced Photovoltaic Panel Performance in Rural Solar Applications
Hossain, M.A., Noor, N.U., Hassan, M.M., Ullah, A., Nahar, S., Islam, M.M. and Yasmin, M.M. (2025) ‘IoT-enabled hysteresis control system for enhanced photovoltaic panel performance in rural solar applications’, IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN 2025)
Research output : Contribution to journal › Article › peer-review
Noshin Un Noor
Advancement in Neuroimaging: Automated Identification of Brain Stroke through Machine Learning
Noor, N.U., Hossain, M.A., Hassan, M.M., Nahar, S., Sarkar, M.S. and Lifat, M.A.S. (2025) ‘Advancement in neuroimaging: Automated identification of brain stroke through machine learning’, International Conference on Advancement in Healthcare Technology and Biomedical Engineering, Vancouver, Canada(Accepted and Presented, Waiting for publication)
Research output : Contribution to conference › Chapter › peer-review
Noshin Un Noor
CNN-Based crop disease and pest detection systems: Enhancing accuracy and efficiency in agricultural sustainability
Noor, N.U. and Solaiman, F. (2025) ‘CNN-based crop disease and pest detection systems: Enhancing accuracy and efficiency in agricultural sustainability’, Journal of Bangladesh Academy of Sciences, 49(1), pp.?73–85. doi: 10.3329/jbas.v49i1.78209
Research output : Contribution to journal › Article › peer-review
Noshin Un Noor
Most. Mazriha Akter Mohua; Ali Ameen; Abdu Saif; Nishita Aktar; Md.Nazmus Sakib "A Novel Remote Desktop Protocol Data Security Approach Using Hybrid Cryptographic Algorithm and Unsupervised Neural Network" 2025 4th International Conference on Computing and Information Technology (ICCIT
Research output : Contribution to conference › Paper › peer-review
Mst. Nishita Aktar
Smart Livestock Guardian: Internet of Things Driven Real-Time Health and Location Analytics
Hossain, M., Noor, N., Nahar, S., Islam, M., Shishir, M., Paul, A., Hossain, T., Ullah, A., Chakraborty, A. and Hossain, M. (2025) ‘Smart livestock guardian: Internet of things-driven real-time health and location analytics’, Advances in Internet of Things, 15, pp. 61–86. doi: 10.4236/ait.2025.153004
Research output : Contribution to journal › Article › peer-review
Mohammad Anwar Hossain
Advancement in Neuroimaging: Automated Identification of Brain Stroke through Machine Learning
Noor, N.U., Hossain, M.A., Hassan, M.M., Nahar, S., Sarkar, M.S. and Lifat, M.A.S. (2025) ‘Advancement in neuroimaging: Automated identification of brain stroke through machine learning’, International Conference on Advancement in Healthcare Technology and Biomedical Engineering, Vancouver, Canada(Accepted and Presented, Waiting for publication)
Research output : Contribution to conference › Chapter › peer-review
Mohammad Anwar Hossain
Explainable deep learning approaches for high precision early melanoma detection using dermoscopic images
Mahmud, M.A.A., Afrin, S., Mridha, M.F. et al. Explainable deep learning approaches for high precision early melanoma detection using dermoscopic images. Sci Rep 15, 24533 (2025). https://doi.org/10.1038/s41598-025-09938-4
Research output : Contribution to journal › Article › peer-review
Sadia Afrin
M-SAM: Multimodal Sentiment Analysis Exploiting Textual and Visual Features of Social Media Memes
Research output : Contribution to conference › Paper › peer-review
Tanzin Ahammad
Deep Learning Architectures for Medical Image Denoising: A Comparative Study of CNN-DAE, CADTra, and DCMIEDNet
Rahman, A.B., Afjal, M.I. and Mamun, M.A.A. (2025) Deep Learning Architectures for Medical Image Denoising: A Comparative Study of CNN-DAE, CADTra, and DCMIEDNet. arXiv preprint arXiv:2508.17223. Available at: https://arxiv.org/abs/2508.17223
Research output : Contribution to journal › Article › not peer-review
Asadullah Bin Rahman
Systematic Evaluation of Wavelet-Based Denoising for MRI Brain Images: Optimal Configurations and Performance Benchmarks
Rahman, A.B., Afjal, M.I. and Mamun, M.A.A. (2025) Systematic Evaluation of Wavelet-Based Denoising for MRI Brain Images: Optimal Configurations and Performance Benchmarks. arXiv preprint arXiv:2508.15011. Available at: https://arxiv.org/abs/2508.15011
Research output : Contribution to journal › Article › not peer-review
Asadullah Bin Rahman
Real-Time Gas Leakage Detection and Automated Mitigation Using a Multi-Sensor IoT Architecture With Alert Logic
Noor, N.U., Hossain, M.A., Sarkar, M.S., Islam, M.M., Shishir, M.S.H. and Rahman, K.M., 2025. Real-Time Gas Leakage Detection and Automated Mitigation Using a Multi-Sensor IoT Architecture With Alert Logic. In: Proceedings of the IEEE International Conference on Power, Electrical, Electronics and Industrial Applications 2025. IEEE.
Research output : Contribution to conference › Article › peer-review
Mohammad Anwar Hossain
A Hybrid CNN-Transformer Framework for Automated Stroke Detection in Brain CT with Grad-CAM
Noor, N.U., Hossain, M.A., Nishat, F.Z., Sarkar, M.S., Afrin, S. and Rahman, K.M., 2025. BA Hybrid CNN-Transformer Framework for Automated Stroke Detection in Brain CT with Grad-CAM. In: Proceedings of the 28th International Conference on Computer and Information Technology.IEEE
Research output : Contribution to conference › Article › peer-review
Noshin Un Noor
BDNN based Enhanced Hybrid Ensemble Framework for Robust Phishing Detection and Secure Real-Time Deployment
Ullah, A., Jabir, A., Sultana, A., Hossain, M.A., Noor, N.U. and Rahman, K.M., 2025. BDNN based Enhanced Hybrid Ensemble Framework for Robust Phishing Detection and Secure Real-Time Deployment. In: Proceedings of the 28th International Conference on Computer and Information Technology.IEEE
Research output : Contribution to conference › Article › peer-review
Noshin Un Noor
A Decentralized Blockchain-based Voting System: Ensuring Security, Transparency, and Trust Using Ethereum
Hossain, M.A., Ullah, A., Noor, N.U., Joy, R.M.S.H., Shipon, S.H., Aktar, M.N. and Sakib, M.N., 2025. StrokeXNet: A Decentralized Blockchain-based Voting System: Ensuring Security, Transparency, and Trust Using Ethereum. In: Proceedings of the 28th International Conference on Computer and Information Technology.IEEE.
Research output : Contribution to conference › Article › peer-review
Noshin Un Noor
StrokeXNet: A Novel CNN–Transformer Fusion with Interpretable Attention for Robust Brain MRI Stroke Detection
Noor, N.U., Hossain, M.A., Sarkar, M.S., Nishat, F.Z., Nahar, S. and Rahman, K.M., 2025. StrokeXNet: A Novel CNN–Transformer Fusion with Interpretable Attention for Robust Brain MRI Stroke Detection. In: Proceedings of the IEEE Conference on Biomedical Engineering, Computer and Information Technology for Health 2025.
Research output : Contribution to conference › Article › peer-review
Noshin Un Noor
Adversarial Robust Fraud Detection for Mobile Financial Transactions in Bangladesh: A Comparative Study
Hossain, M.A., Sadi, R.U., Noor, N.U., Hasanuzzaman, M., Sutradhar, A. and Sakib, M.N., 2025. Adversarial Robust Fraud Detection for Mobile Financial Transactions in Bangladesh: A Comparative Study. In: Proceedings of the 4th IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things.
Research output : Contribution to conference › Article › peer-review
Noshin Un Noor
Enhanced Multi-Sensor IoT Architecture for Real-Time Gas Leakage Detection, Automated Mitigation, and SMS Alerts
Noor, N.U., Hossain, M.A., Islam, M.M., Shishir, M.S.H., Sarkar, M.S. and Rahman, K.M., 2025. Enhanced Multi-Sensor IoT Architecture for Real-Time Gas Leakage Detection, Automated Mitigation, and SMS Alerts. In: Proceedings of the 4th IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things.
Research output : Contribution to conference › Article › peer-review
Noshin Un Noor
Balanced Deep Neural Network (BDNN) for Scalable, Real-Time Phishing URL Detection Using Hybrid Machine Learning and Deep Learning Ensembles
Ullah, A., Hasan, H.M.A., Hossain, M.A., Noor, N.U. and Aktar, M.N., 2025. Balanced Deep Neural Network (BDNN) for Scalable, Real-Time Phishing URL Detection Using Hybrid Machine Learning and Deep Learning Ensembles. In: Proceedings of the International Conference on Signal Processing, Information, Communication and Systems 2025.
Research output : Contribution to conference › Article › peer-review
Noshin Un Noor
Adversarial Training for Fraud Detection in Mobile Finance in Bangladesh: A Hybrid Approach Using Machine Learning
Hossain, M.A., Noor, N.U., Rahman, K.M., Nahar, S., Sakib, M.N. and Ullah, A., 2025. Adversarial Training for Fraud Detection in Mobile Finance in Bangladesh: A Hybrid Approach Using Machine Learning. In: Proceedings of the IEEE International Conference on Power, Electrical, Electronics and Industrial Applications 2025. IEEE.
Research output : Contribution to conference › Article › peer-review
Mohammad Anwar Hossain
Enhanced Malaria Diagnosis via Hybrid CNN-Transformer Ensemble Learning: A Step Towards Automated Health Systems
Ullah, A., Uddin, S.M.Z., Rudro, S., Khan, N.I., Noor, N.U. and Hossain, M.A., 2025. Enhanced Malaria Diagnosis via Hybrid CNN-Transformer Ensemble Learning: A Step Towards Automated Health Systems. In: Proceedings of the 28th International Conference on Computer and Information Technology.IEEE
Research output : Contribution to conference › Article › peer-review
Noshin Un Noor
Enhanced Malaria Diagnosis via Hybrid CNN-Transformer Ensemble Learning: A Step Towards Automated Health Systems
Ullah, A., Uddin, S.M.Z., Rudro, S., Khan, N.I., Noor, N.U. and Hossain, M.A., 2025. Enhanced Malaria Diagnosis via Hybrid CNN-Transformer Ensemble Learning: A Step Towards Automated Health Systems. In: Proceedings of the 28th International Conference on Computer and Information Technology.IEEE
Research output : Contribution to conference › Article › peer-review
Mohammad Anwar Hossain
A Hybrid CNN-Transformer Framework for Automated Stroke Detection in Brain CT with Grad-CAM
Noor, N.U., Hossain, M.A., Nishat, F.Z., Sarkar, M.S., Afrin, S. and Rahman, K.M., 2025. BA Hybrid CNN-Transformer Framework for Automated Stroke Detection in Brain CT with Grad-CAM. In: Proceedings of the 28th International Conference on Computer and Information Technology.IEEE
Research output : Contribution to conference › Article › peer-review
Mohammad Anwar Hossain
BDNN based Enhanced Hybrid Ensemble Framework for Robust Phishing Detection and Secure Real-Time Deployment
Ullah, A., Jabir, A., Sultana, A., Hossain, M.A., Noor, N.U. and Rahman, K.M., 2025. BDNN based Enhanced Hybrid Ensemble Framework for Robust Phishing Detection and Secure Real-Time Deployment. In: Proceedings of the 28th International Conference on Computer and Information Technology.IEEE
Research output : Contribution to conference › Article › peer-review
Mohammad Anwar Hossain
A Decentralized Blockchain-based Voting System: Ensuring Security, Transparency, and Trust Using Ethereum
Hossain, M.A., Ullah, A., Noor, N.U., Joy, R.M.S.H., Shipon, S.H., Aktar, M.N. and Sakib, M.N., 2025. StrokeXNet: A Decentralized Blockchain-based Voting System: Ensuring Security, Transparency, and Trust Using Ethereum. In: Proceedings of the 28th International Conference on Computer and Information Technology.IEEE.
Research output : Contribution to conference › Article › peer-review
Mohammad Anwar Hossain
A Resilient Deep Learning Based Model for Automated Detection of Cardiovascular Abnormalities in ECG Images with Grad-CAM XAI
Sarkar, M.S., Rahman, K.M., Noor, N.U., Hossain, M.A., Karim, R. and Rifat, H.H., 2025. StrokeXNet: A Resilient Deep Learning Based Model for Automated Detection of Cardiovascular Abnormalities in ECG Images with Grad-CAM XAI. In: Proceedings of the IEEE Conference on Biomedical Engineering, Computer and Information Technology for Health 2025. IEEE.
Research output : Contribution to conference › Article › peer-review
Mohammad Anwar Hossain
StrokeXNet: A Novel CNN–Transformer Fusion with Interpretable Attention for Robust Brain MRI Stroke Detection
Noor, N.U., Hossain, M.A., Sarkar, M.S., Nishat, F.Z., Nahar, S. and Rahman, K.M., 2025. StrokeXNet: A Novel CNN–Transformer Fusion with Interpretable Attention for Robust Brain MRI Stroke Detection. In: Proceedings of the IEEE Conference on Biomedical Engineering, Computer and Information Technology for Health 2025.
Research output : Contribution to conference › Article › peer-review
Mohammad Anwar Hossain
Adversarial Robust Fraud Detection for Mobile Financial Transactions in Bangladesh: A Comparative Study
Hossain, M.A., Sadi, R.U., Noor, N.U., Hasanuzzaman, M., Sutradhar, A. and Sakib, M.N., 2025. Adversarial Robust Fraud Detection for Mobile Financial Transactions in Bangladesh: A Comparative Study. In: Proceedings of the 4th IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things.
Research output : Contribution to conference › Article › peer-review
Mohammad Anwar Hossain
A Resilient Deep Learning Based Model for Automated Detection of Cardiovascular Abnormalities in ECG Images with Grad-CAM XAI
Sarkar, M.S., Rahman, K.M., Noor, N.U., Hossain, M.A., Karim, R. and Rifat, H.H., 2025. StrokeXNet: A Resilient Deep Learning Based Model for Automated Detection of Cardiovascular Abnormalities in ECG Images with Grad-CAM XAI. In: Proceedings of the IEEE Conference on Biomedical Engineering, Computer and Information Technology for Health 2025. IEEE.
Research output : Contribution to conference › Article › peer-review
Noshin Un Noor
Real-Time Gas Leakage Detection and Automated Mitigation Using a Multi-Sensor IoT Architecture With Alert Logic
Noor, N.U., Hossain, M.A., Sarkar, M.S., Islam, M.M., Shishir, M.S.H. and Rahman, K.M., 2025. Real-Time Gas Leakage Detection and Automated Mitigation Using a Multi-Sensor IoT Architecture With Alert Logic. In: Proceedings of the IEEE International Conference on Power, Electrical, Electronics and Industrial Applications 2025. IEEE.
Research output : Contribution to conference › Article › peer-review
Noshin Un Noor
Adversarial Training for Fraud Detection in Mobile Finance in Bangladesh: A Hybrid Approach Using Machine Learning
Hossain, M.A., Noor, N.U., Rahman, K.M., Nahar, S., Sakib, M.N. and Ullah, A., 2025. Adversarial Training for Fraud Detection in Mobile Finance in Bangladesh: A Hybrid Approach Using Machine Learning. In: Proceedings of the IEEE International Conference on Power, Electrical, Electronics and Industrial Applications 2025. IEEE.
Research output : Contribution to conference › Article › peer-review
Noshin Un Noor
BElite at BLP­2025 Task 1: Leveraging Ensemble for Multi Task Hate Speech Detection in Bangla
Research output : Contribution to conference › Article › peer-review
Zannatul Fardaush Tripty
Enhanced Multi-Sensor IoT Architecture for Real-Time Gas Leakage Detection, Automated Mitigation, and SMS Alerts
Noor, N.U., Hossain, M.A., Islam, M.M., Shishir, M.S.H., Sarkar, M.S. and Rahman, K.M., 2025. Enhanced Multi-Sensor IoT Architecture for Real-Time Gas Leakage Detection, Automated Mitigation, and SMS Alerts. In: Proceedings of the 4th IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things.
Research output : Contribution to conference › Article › peer-review
Mohammad Anwar Hossain

2024

A Novel Approach of Detecting Malicious Phishing URL Using Self-organizing Map
Sakib, M.N., Robin, K.H., Siddika, A., Nahar, S. (2024). A Novel Approach of Detecting Malicious Phishing URL Using Self-organizing Map. In: El Fadil, H., Zhang, W. (eds) Automatic Control and Emerging Technologies. ACET 2023. Lecture Notes in Electrical Engineering, vol 1141. Springer, Singapore. https://doi.org/10.1007/978-981-97-0126-1_23
Research output : Contribution to conference › Article › peer-review
Kazi H. Robin
ADHD Scout: Mobile Application for Home-Based Screening to Facilitate Early Detection of ADHD in Children
Robin, K.H., Rahman, M.L., Rahman, M.H., Karim, R. (2024). ADHD Scout: Mobile Application for Home-Based Screening to Facilitate Early Detection of ADHD in Children. In: Hassanien, A.E., Anand, S., Jaiswal, A., Kumar, P. (eds) Innovative Computing and Communications. ICICC 2024. Lecture Notes in Networks and Systems, vol 1043. Springer, Singapore. https://doi.org/10.1007/978-981-97-4228-8_9
Research output : Contribution to conference › Article › peer-review
Kazi H. Robin
NoPass—A Novel Passwordless Multi-authentication-Based Approach for Secure Login
Robin, K.H., Hosain, M., Rahman, M.H., Nahar, S. (2024). NoPass—A Novel Passwordless Multi-authentication-Based Approach for Secure Login. In: Giri, D., Das, S., Corchado Rodríguez, J.M., De, D. (eds) Proceedings of Third International Conference on Advanced Computing and Applications. ICACA 2024. Lecture Notes in Networks and Systems, vol 1045. Springer, Singapore. https://doi.org/10.1007/978-981-97-4799-3_9
Research output : Contribution to conference › Article › peer-review
Kazi H. Robin
Enhancing False Positive Alert Detection in Security Information and Event Management System Using Recurrent Neural Network
M. N. Aktar et al., "Enhancing False Positive Alert Detection in Security Information and Event Management System Using Recurrent Neural Network," 2024 27th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2024, pp. 2794-2799, doi: 10.1109/ICCIT64611.2024.11022066.
Research output : Contribution to conference › Article › peer-review
Kazi H. Robin
Enhancing False Positive Alert Detection in Security Information and Event Management System Using Recurrenot Neural network
Mst. Nishita Aktar; Md. Nazmus Sakib; Afzal Hossain; Ahsan Ullah; Kazi Hassan Robin; Kh. Mustafizur Rahman
Research output : Contribution to conference › Article › peer-review
Ahsan Ullah
Securing Critical Infrastructure: A Robust DNP3 Intrusion Detection System Employing Recurrent Neural Networks.
Md. Nazmus Sakib, Afzal Hossain, Ahsan Ullah, Mst. Nishita After, Noshin Un Noor, Kh. Mustafizur Rhaman "Securing Critical Infrastructure: A Robust DNP3 Intrusion Detection System Employing Recurrent Neural Networks," 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS), Cox's Bazar, Bangladesh, 2024, pp. 1-5, doi: 10.1109/COMPAS60761.2024.10797009.
Research output : Contribution to conference › Article › peer-review
Ahsan Ullah
A Novel LSB Steganography Technique for Enhancing Cloud Security
Ullah, A., Haque, Md. I., Hossain, Md. M., Ahammad, Md. S. and Aktar, Mst. N. (2024) A Novel LSB Steganography Technique for Enhancing Cloud Security. Journal of Information Security, 15, 355-377. doi: 10.4236/jis.2024.153021.
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
Enhancing The Cyber Security Using Ensemble Stacking Model For Phishing Sites Detection With Hyperparameter tuning
Hassan, M.M., Ullah, A., Chakraborty, A., Sarker, N. and Roy, B.K.S., 2024, December. Enhancing The Cyber Security Using Ensemble Stacking Model For Phishing Sites Detection With Hyperparameter Tuning. In 2024 27th International Conference on Computer and Information Technology (ICCIT) (pp. 1809-1814). IEEE.
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
Enhancing Video Steganography Techniques Using Hybrid Algorithms
Hossain, M.A., Noor, N.U., Ullah, A., Noman, M.S.H., Pranta, S.D., Bristy, L.M. and Bashar, M.M. (2024) ‘Enhancing video steganography techniques using hybrid algorithms’, Open Access Library Journal, 11, pp.?1–21. doi: 10.4236/oalib.1111489
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
Deep Learning for Skeleton-Based Human Activity Segmentation: An Autoencoder Approach
Research output : Contribution to journal › Article › peer-review
Dr. Md Amran Hossen
NoPass—A Novel Passwordless Multi-authentication-Based Approach for Secure Login
Research output : Contribution to conference › Article › peer-review
Shamsun Nahar
Securing Critical Infrastructure: A Robust DNP3 Intrusion Detection System Employing Recurrent Neural Networks
Research output : Contribution to conference › Article › peer-review
Shamsun Nahar
A Novel Approach of Detecting Malicious Phishing URL using Self-Organizing Map, International Symposium on Automatic Control and Emerging Technologies(ACET 2023) Md.Nazmus Sakib, Kazi Hassan Robin, Ayesha Siddika, Shamsun Nahar
Research output : Contribution to conference › Article › peer-review
Shamsun Nahar
A Comparative Study on Vulnerabilities, Challenges, and Security Measures in Wireless Network Security
Ullah, A., Sakib, M.N., Rahman, M.H., Shahin, M.S.K., Hossain, F., Hossain, M.A. (2024). A Comparative Study on Vulnerabilities, Challenges, and Security Measures in Wireless Network Security. In: Abraham, A., Pllana, S., Hanne, T., Siarry, P. (eds) Intelligent Systems Design and Applications. ISDA 2023. Lecture Notes in Networks and Systems, vol 1048. Springer, Cham. https://doi.org/10.1007/978-3-031-64650-8_28.
Research output : Contribution to book › Article › peer-review
Ahsan Ullah
 Enhancing Network Security: A Hybrid Approach for Detection and Mitigation of Distributed Denial-of-Service Attacks Using Machine Learning
Shohan, N.J., Tanbhir, G., Elahi, F., Ullah, A., Sakib, M.N. (2024). Enhancing Network Security: A Hybrid Approach for Detection and Mitigation of Distributed Denial-of-Service Attacks Using Machine Learning. In: Verma, A., Verma, P., Pattanaik, K.K., Dhurandher, S.K., Woungang, I. (eds) Advanced Network Technologies and Intelligent Computing. ANTIC 2023. Communications in Computer and Information Science, vol 2091. Springer, Cham. https://doi.org/10.1007/978-3-031-64064-3_7
Research output : Contribution to book › Article › peer-review
Ahsan Ullah
Phishing Detection in Browser-in-the-Middle: A Novel Empirical Approach Incorporating Machine Learning Algorithms
Shahriyar, M., Seyam, Z.S., Ullah, A., Sakib, M. (2024). Phishing Detection in Browser-in-the-Middle: A Novel Empirical Approach Incorporating Machine Learning Algorithms. In: Verma, A., Verma, P., Pattanaik, K.K., Dhurandher, S.K., Woungang, I. (eds) Advanced Network Technologies and Intelligent Computing. ANTIC 2023. Communications in Computer and Information Science, vol 2093. Springer, Cham. https://doi.org/10.1007/978-3-031-64067-4_9
Research output : Contribution to book › Article › peer-review
Ahsan Ullah
Mosharraf Hosain, Kazi Hassan Robin , Shamsun Nahar, NoPass - A Novel Passwordless Multi Authentication-based Approach for Secure Login (ICACA 2024)
Research output : Contribution to conference › Article › peer-review
Shamsun Nahar
Securing Critical Infrastructure: A Robust DNP3 Intrusion Detection System Employing Recurrent Neural Networks
Md. Nazmus Sakib, Afzal Hossain, Ahsan Ullah, Mst. Nishita After, Noshin Un Noor, Kh. Mustafizur Rhaman "Securing Critical Infrastructure: A Robust DNP3 Intrusion Detection System Employing Recurrent Neural Networks," 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS), Cox's Bazar, Bangladesh, 2024, pp. 1-5, doi: 10.1109/COMPAS60761.2024.10797009.
Research output : Contribution to book › Article › peer-review
Ahsan Ullah
Mst. Nishita Aktar; Md. Nazmus Sakib; Afzal Hossain; Ahsan Ullah; Kazi Hassan Robin; Kh. Mustafizur Rahman; Md Tuhin Reza; Ali Ameen; Md Refat Hossain; Debashis Kundu. Enhancing False Positive Alert Detection in Security Information and Event Management System Using Recurrent Neural Network. Proceedings of the 2024 27th International Conference on Computer and Information Technology (ICCIT).
Research output : Contribution to conference › Paper › peer-review
Kh. Mustafizur Rahman
Md. Nazmus Sakib; Afzal Hossain; Ahsan Ullah; Mst. Nishita Aktar; Noshin Un Noor; Kh. Mustafizur Rahman; Shamsun Nahar. Securing Critical Infrastructure: A Robust DNP3 Intrusion Detection System Employing Recurrent Neural Networks. Preceding of the 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS)
Research output : Contribution to conference › Paper › peer-review
Kh. Mustafizur Rahman
A comparative study on Vulnerabilities, Challenges, and Security measures in Wireless Network Security
Ullah, A., Sakib, M.N., Rahman, M.H., Shahin, M.S.K., Hossain, F. and Hossain, M.A., 2024. A comparative study on vulnerabilities, challenges, and security measures in wireless network security. In: A. Abraham, S. Pllana, T. Hanne and P. Siarry, eds. Intelligent Systems Design and Applications. ISDA 2023. Lecture Notes in Networks and Systems, vol. 1048. Cham: Springer. https://doi.org/10.1007/978-3-031-64650-8_28
Research output : Contribution to conference › Chapter › peer-review
Mohammad Anwar Hossain
 Enhancing Video Steganography Techniques Using Hybrid Algorithms
Hossain, M.A., Noor, N.U., Ullah, A., Noman, M.S.H., Pranta, S.D., Bristy, L.M. and Bashar, M.M. (2024) ‘Enhancing video steganography techniques using hybrid algorithms’, Open Access Library Journal, 11, pp.?1–21. doi: 10.4236/oalib.1111489
Research output : Contribution to journal › Article › peer-review
Mohammad Anwar Hossain
Enhancing Video Steganography Techniques Using Hybrid Algorithms.
Hossain, M.A., Noor, N.U., Ullah, A., Noman, M.S.H., Pranta, S.D., Bristy, L.M. and Bashar, M.M. (2024) ‘Enhancing video steganography techniques using hybrid algorithms’, Open Access Library Journal, 11, pp.?1–21. doi: 10.4236/oalib.1111489.
Research output : Contribution to journal › Article › peer-review
Noshin Un Noor
Ahsan Ullah, Md. Inzamul Haque, Md. Mokarom Hossain, Md. Sadman Ahammad, Mst. Nishita Aktar ," A Novel LSB Steganography Technique for Enhancing Cloud Security"-Journal of Information Security, Vol.15 No.3, July 2024
Research output : Contribution to journal › Paper › peer-review
Mst. Nishita Aktar
Mst. Nishita Aktar; Md. Nazmus Sakib; Afzal Hossain; Ahsan Ullah; Kazi Hassan Robin; Kh. Mustafizur Rahman; Md Tuhin Reza;Ali Ameen;Md Refat Hossain; Debashis Kundu: "Enhancing False Positive Alert Detection in Security Information and Event Management System Using Recurrent Neural Network" -27th International Conference on Computer and Information Technology (ICCIT 2024), Cox’s Bazar
Research output : Contribution to conference › Paper › peer-review
Mst. Nishita Aktar
Securing Critical Infrastructure: A Robust DNP3 Intrusion Detection System Employing Recurrent Neural Networks
Sakib, M.N., Hossain, A., Ullah, A., Aktar, M.N., Noor, N.U., and Nahar, S. (2024) ‘Securing critical infrastructure: A robust DNP3 intrusion detection system employing recurrent neural networks’, 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS), Cox’s Bazar, Bangladesh, pp.?1–5. doi: 10.1109/COMPAS60761.2024.10797009
Research output : Contribution to conference › Article › peer-review
Noshin Un Noor
Machine Learning for Predictive Database Caching Strategies: A state-of-the-art review
Afrin, S., Mahmud, M.A.A., Salam, A., Jubair, M.A.A. and Mridha, M.F., 2024, October. Machine Learning for Predictive Database Caching Strategies: A state-of-the-art review. In Proceedings of the 3rd International Conference on Computing Advancements (pp. 540-547).
Research output : Contribution to conference › Review › peer-review
Sadia Afrin
Sentiment classification of multi-modal memes using deep learning and transformer techniques
Research output : Contribution to conference › Paper › peer-review
Tanzin Ahammad
CUETSentimentSillies@DravidianLangTech-EACL2024: Transformer-based Approach for Sentiment Analysis in Tamil and Tulu Code-Mixed Texts
Research output : Contribution to conference › Article › peer-review
Zannatul Fardaush Tripty
CUETSentimentSillies@DravidianLangTech EACL2024: Transformer-based Approach for Detecting and Categorizing Fake News in Malayalam Language
Research output : Contribution to conference › Article › peer-review
Zannatul Fardaush Tripty

2023

AVCPR; web-based tool for extracting data from clinical pathology records to facilitate additional analysis and dynamic visualization
Shahriar, S.M. et al. (2023) ‘AVCPR; web-based tool for extracting data from clinical pathology records to facilitate additional analysis and dynamic visualization’, Proceedings of the 2023 5th Asia Pacific Information Technology Conference, pp. 1–9. doi:10.1145/3588155.3588156.
Research output : Contribution to conference › Article › peer-review
Kazi H. Robin
IoT based nurse activities monitoring and controlling system
Ullah, A. , Ahammed, M. , Bhuiyan, M. , Dasgupta, S. , Robin, K. and Sakib, N. (2023) IoT Based Nurse Activities Monitoring and Controlling System. Advances in Internet of Things, 13, 63-82. doi: 10.4236/ait.2023.133004.
Research output : Contribution to journal › Article › peer-review
Kazi H. Robin
An Improved Approach of Image Steganography Based on Least Significant Bit Technique for Secure Communication in Cloud
Alam, K., Nushrat, S., Patwary, A.H., Ullah, A., Robin, K.H. (2023). An Improved Approach of Image Steganography Based on Least Significant Bit Technique for Secure Communication in Cloud. In: Woungang, I., Dhurandher, S.K., Pattanaik, K.K., Verma, A., Verma, P. (eds) Advanced Network Technologies and Intelligent Computing. ANTIC 2022. Communications in Computer and Information Science, vol 1797. Springer, Cham. https://doi.org/10.1007/978-3-031-28180-8_15
Research output : Contribution to conference › Article › peer-review
Kazi H. Robin
A comparative study of supervised and unsupervised approaches in human activity analysis based on skeleton data
Research output : Contribution to journal › Article › peer-review
Dr. Md Amran Hossen
Evaluation of 2D and 3D posture for human activity recognition
Research output : Contribution to conference › Article › peer-review
Dr. Md Amran Hossen
An Improved Approach of Image Steganography Based on Least Significant Bit Technique for Secure Communication in Cloud
Alam, K., Nushrat, S., Patwary, A.H., Ullah, A., Robin, K.H. (2023). An Improved Approach of Image Steganography Based on Least Significant Bit Technique for Secure Communication in Cloud. In: Woungang, I., Dhurandher, S.K., Pattanaik, K.K., Verma, A., Verma, P. (eds) Advanced Network Technologies and Intelligent Computing. ANTIC 2022. Communications in Computer and Information Science, vol 1797. Springer, Cham. https://doi.org/10.1007/978-3-031-28180-8_15
Research output : Contribution to book › Article › peer-review
Ahsan Ullah
AVCPR; web-based tool for extracting data from clinical pathology records to facilitate additional analysis and dynamic visualization
S. M. Abrar Shahriar, Md. Limon, Mst. Nawshin Tasnim, Ahsan Ullah, Kazi Hassan Robin, AVCPR; web-based tool for extracting data from clinical pathology records to facilitate additional analysis and dynamic visualization, 2023 5th Asia Pacific Information Technology Conference (APIT), ACM, https://doi.org/10.1145/3588155.3588156
Research output : Contribution to conference › Article › peer-review
Ahsan Ullah
IoT Based Nurse Activities Monitoring and Controlling System
Ullah, A. , Ahammed, M. , Bhuiyan, M. , Dasgupta, S. , Robin, K. and Sakib, N. (2023) IoT Based Nurse Activities Monitoring and Controlling System. Advances in Internet of Things, 13, 63-82. doi: 10.4236/ait.2023.133004.
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
Md. Nazmus Sakib, Kazi Hassan Robin, Ayesha Siddika, Shamsun Nahar, A Novel Approach of Detecting Malicious Phishing URL using Self-Organizing Map ACET 2023: Automatic Control and Emerging Technologies pp 259–268
Research output : Contribution to journal › Article › peer-review
Shamsun Nahar
Microstrip Patch Antenna for Single Resonant Frequency Using Various Types of Slots, 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Date of Conference: 19-21 July 2023, Date Added to IEEE Xplore: 22 September 2023
Research output : Contribution to journal › Article › peer-review
Kh. Mustafizur Rahman
Design and implementation of GPS controlled environment monitoring system based on internet of things
Hossain, M.A., Noor, N.U., Yeasmin, A., Chowdhury Ritu, M.J. and Sarker, S. (2023) ‘Design and implementation of GPS controlled environment monitoring system based on internet of things’, International Journal of Circuit, Computing and Networking, 4(2), pp.?21–30. doi: 10.33545/27075923.2023.v4.i2a.59.
Research output : Contribution to journal › Article › peer-review
Noshin Un Noor
AES based security scheme to remove man-in-the middle attack in online banking
Noor, N.U., Tumpa, F., Arifeen, M.M., Hasan, S.R., Hossain, D.A. and Reza, S.M.S. (2023) ‘AES based security scheme to remove man-in-the-middle attack in online banking’, International Journal of Research in Engineering, 5(1), pp.?13–17. doi: 10.33545/26648776.2023.v5.i1a.46
Research output : Contribution to journal › Article › peer-review
Noshin Un Noor
 Design and implementation of GPS controlled environment monitoring system based on internet of things.
Hossain, M.A., Noor, N.U., Yeasmin, A., Ritu, M.J.C. and Sarker, S., 2023. Design and implementation of GPS controlled environment monitoring system based on internet of things. International Journal of Circuit, Computing and Networking, 4(2), pp.21?30. https://doi.org/10.33545/27075923.2023.v4.i2a.59
Research output : Contribution to journal › Article › peer-review
Mohammad Anwar Hossain
Comprehensive architectural network design based on intrusion detection system
Hossain, M.A., Hossain, M.S. and Karim, R. (2023) ‘Comprehensive architectural network design based on intrusion detection system’, International Journal of Communication and Information Technology, 4(2), pp.?12–19. doi: 10.33545/2707661X.2023.v4.i2a.66.
Research output : Contribution to journal › Article › peer-review
Mohammad Anwar Hossain
Secure Inter-VLAN routing in multi branches office network
Hossain, M.A., Miah, H., Ahmed, R. and Anower, S. (2023) ‘Secure Inter-VLAN routing in multi branches office network’, International Journal of Communication and Information Technology, 4(2), pp.?1–11. doi: 10.33545/2707661X.2023.v4.i2a.65.
Research output : Contribution to journal › Article › peer-review
Mohammad Anwar Hossain
Enhanced brain tumor classification from MRI images using deep learning model
Rahman, A.B., Touhid Islam, M., Islam, M.R., Sohrawordi, M. and Sultan, M.N., 2023. Enhanced brain tumor classification from MRI images using deep learning model. In: 2023 26th International Conference on Computer and Information Technology (ICCIT), pp.1–6. doi:10.1109/ICCIT60459.2023.10441064.
Research output : Contribution to conference › Article › peer-review
Asadullah Bin Rahman
Advancing Cucumber Disease Detection in Agriculture Through Machine Vision and Drone Technology
Research output : Contribution to conference › Paper › peer-review
Amir Khabbab Ahammed
Deep Learning-Based Identification of Lung and Colon Cancer
Research output : Contribution to conference › Article › peer-review
Amir Khabbab Ahammed
Impact Analysis of Rooftop Solar Photovoltaic Systems in Academic Buildings
Research output : Contribution to conference › Article › peer-review
Amir Khabbab Ahammed
Machine learning in cyberbullying detection from social-media image or screenshot with optical character recognition
40
Research output : Contribution to journal › Article › peer-review
Nusrat Jahan

2022

Social Distance Monitoring Using a Low-cost 3d Sensor
Research output : Contribution to conference › Article › peer-review
Dr. Md Amran Hossen
Investigation of the Unsupervised Machine Learning Techniques for Human Activity Discovery
Research output : Contribution to journal › Article › peer-review
Dr. Md Amran Hossen
Design and Development of a Dynamic Hashing Algorithm
Nasir Mahmud Apar, MD. Minhazul Islam Munna, Ahsan Ullah, Habibur Rahman, “Design and Development of a Dynamic Hashing Algorithm,” International Journal of Scientific Research in Computer Science and Engineering, Vol.10, Issue.1, pp.8-14, 2022.
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
Design and Development of a Hybrid Intrusion Detection and Prevention System for Cloud Computing and Internet of Things Environment. 
Safayet Hossain, Sanzida Islam, Ahsan Ullah, & Afzal Hossain. (2022). Design and Development of a Hybrid Intrusion Detection and Prevention System for Cloud Computing and Internet of Things Environment. Recent Innovations in Wireless Network Security, 4(2), 1–9.
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
A Cost-effective Smart Cradle Baby Monitoring System for assist the Parents.
Ahsan Ullah, & Afzal Hossain. (2022). A Cost-effective Smart Cradle Baby Monitoring System for assist the Parents. Advanced Innovations in Computer Programming Languages, 4(3), 2022.
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
Md Amirul Islam, Giovanni Stea, Sultan Mahmud, Kh. Mustafizur Rahman COVID-19 Cases Detection from Chest X-Ray Images using CNN based Deep Learning Model. International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 5, 2022.
Research output : Contribution to journal › Article › peer-review
Kh. Mustafizur Rahman
OkkhorNet: A Deep Convolutional Neural Network to Classify Bengali Handwritten Characters
S. U. Sikder, M. S. Muslebeen, D. Z. Karim, R. Saha and T. A. Bushra, "OkkhorNet: A Deep Convolutional Neural Network to Classify Bengali Handwritten Characters," 2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Gold Coast, Australia, 2022, pp. 1-6, doi: 10.1109/CSDE56538.2022.10089315. keywords: {Computer science;Handwriting recognition;Costs;Image processing;Government;Data engineering;Planning;Deep learning;CNN;Bangali Characters;Image processing;DCNN;Handwritten Character Recognition;Bengali letters;Bengali compound characters},
Research output : Contribution to conference › Paper › peer-review
Shihab Uddin Sikder

2021

Design and development of a novel symmetric algorithm for enhancing information security
Mohammad Anwar Hossain, Ahsan Ullah, Md. Shakil Hossain, Sumaiya Begum, Md. Ibrahim. Design and development of a novel symmetric algorithm for enhancing information security. Int J Commun Inf Technol 2021;2(1):49-60.
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
Implementation of Android Based Text to Image Steganography Using 512-Bit Algorithm with LSB Technique. Nazmun Nahar, Md. Kawsher Ahmed, Tareq Miah, Shahriar Alam, Kh. Mustafizur Rahman, Md. Anayt Rabbi.  2021 5th International Conference on Electrical Information and Communication Technology (EICT)
Research output : Contribution to conference › Article › peer-review
Kh. Mustafizur Rahman
A new topological sorting algorithm with reduced time complexity
Research output : Contribution to conference › Paper › peer-review
Tanzin Ahammad

2020

Anayt Rabbi, Mohammad Samiul Islam, Anjuman Luna, Mohammad Mobarak Hossain, Mst. NishitaAktar, Shamsun Nahar, Nadira Islam, Faizul Huq Arif . Quality of Service (qos) of A Zigbee Network Through Device Priority with Packet Distribution Technique. International Journal of Advanced Science and Technology Vol. 29, No.02, (2020), pp. 1313-1321
Research output : Contribution to journal › Article › peer-review
Shamsun Nahar
IoT Based Smart Pisciculture Monitoring and Prediction System in Bangladesh. 
Ahsan Ullah. (2020). IoT Based Smart Pisciculture Monitoring and Prediction System in Bangladesh. Journal of Advance Research in Mobile Computing, 2(1), 1–19.
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
IoT based Vehicle Speed Monitoring and Controlling System for Reducing Accident occurs on the Road in Bangladesh
Ahsan Ullah, Arfatul Sumiraj, Md. Shanawoaz, & Ahashanul Kabir. (2020). IoT based Vehicle Speed Monitoring and Controlling System for Reducing Accident occurs on the Road in Bangladesh. Journal of Advancement in Parallel Computing, 3(1), 1–17.
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
Design and development of a novel symmetric algorithm for enhancing information security
Hossain, M.A., Ullah, A., Hossain, M.S., Begum, S. and Ibrahim, M., 2021. Design and development of a novel symmetric algorithm for enhancing information security. International Journal of Communication and Information Technology, 2(1), pp.49?60. https://doi.org/10.33545/2707661X.2021.v2.i1a.40
Research output : Contribution to journal › Article › peer-review
Mohammad Anwar Hossain
A new approach to solve job sequencing problem using dynamic programming with reduced time complexity
Research output : Contribution to conference › Paper › peer-review
Tanzin Ahammad

2019

An agent based dynamic knowledge profile framework
K. H. Robin, S. Uddin and T. Chowdhury, "An Agent Based Dynamic Knowledge Profile Framework," 2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 2019, pp. 1-5, doi: 10.1109/IC4ME247184.2019.9036544.
Research output : Contribution to conference › Article › peer-review
Kazi H. Robin
Citizen-Centric Complaint Reporting and Analyzing Mechanism
Ullah, A. , Singha, T. , Sarker, H. , Pia, F. and Hossain, A. (2023) Citizen-Centric Complaint Reporting and Analyzing Mechanism. Journal of Software Engineering and Applications, 16, 223-263. doi: 10.4236/jsea.2023.166013.
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
Cost Effective Smart Hydroponic Monitoring and Controlling System Using IoT
Ullah, A. , Aktar, S. , Sutar, N. , Kabir, R. and Hossain, A. (2019) Cost Effective Smart Hydroponic Monitoring and Controlling System Using IoT. Intelligent Control and Automation, 10, 142-154.
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
Design and Implementation of Android Based Text Encryption and Decryption Technique. 
Ahsan Ullah, & Afzal Hossain. (2019). Design and Implementation of Android Based Text Encryption and Decryption Technique. Research & Reviews: Journal of Internet & Networking, 1(3), 1–16.
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
Enhanced Women Safety and Well-Suited Public Bus Management System in Bangladesh Using IoT
Ullah, A. , Hossain, M. , Zaman, N. , Dey, M. and Kundu, T. (2019) Enhanced Women Safety and Well-Suited Public Bus Management System in Bangladesh Using IoT. Advances in Internet of Things, 9, 72-84.
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
Smart IoT Based Launch Activities Monitoring System for Reducing the Accident Occurs on the River,Journal of Sensor Research and Technologies.
Ahsan Ullah*, Shahzabin Reza Mimu, Ayndrila Biswas, Md. Golam Rasel, & Mourita Mozib. (2019). Smart IoT Based Launch Activities Monitoring System for Reducing the Accident Occurs on the River,Journal of Sensor Research and Technologies.
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
Vehicle Fuel Activities Monitoring System Using IoT
Khatun, R. , Antor, S. , Ullah, A. and Hossain, A. (2019) Vehicle Fuel Activities Monitoring System Using IoT. Advances in Internet of Things, 9, 63-71.
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
Analysis, Design and Development of a Predictive Model to Predict Coronary Attorney of Human Body using Data Mining Algorithm.
Afzal Hossain, Nawshin Nawal Bithi, & Ahsan Ullah. (2019). Analysis, Design and Development of a Predictive Model to Predict Coronary Attorney of Human Body using Data Mining Algorithm. Journal of Network Security and Data Mining, 2(2), 1–21. https://doi.org/10.5281/zenodo.3378683
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
Mohammad Sayeedur Rahman, Busrat Jahan, Md. Al-Amin Nipu, Shamsun Nahar, Mst. Nishita Aktar, Nadira Islam, Mohammad Mobarak Hossain, Md. Faizul Huq Arif, 2019. An Analysis of Smart-Phone Industry in Bangladesh Using Porter’s Five Forces Model. Open Access Library Journal, Volume 6, e5730
Research output : Contribution to journal › Article › peer-review
Shamsun Nahar
Afsana Parveen Mukta , Al-Amin Mamun, Chaity Basak, Shamsun Nahar , Md. Faizul Huq Arif “ A Phrase-Based Machine Translation from English to Bangla Using Rule-Based Approach” International Conference on Electrical, Computer and Communication Engineering (ECCE), held on 07-09 February, 2019
Research output : Contribution to conference › Article › peer-review
Shamsun Nahar
A Hybrid Partitioning Algorithm for Robust Big Data Clustering and Analysis
Y. A. Joarder, Kh. Mustafizur Rahman, & Ahsan Ullah. (2019). A Hybrid Partitioning Algorithm for Robust Big Data Clustering and Analysis. Journal of Network Security and Data Mining, 2(3), 1–16.
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
Design and Development of a Novel Symmetric Algorithm for Enhancing Data Security in Cloud Computing
Hossain, M. , Ullah, A. , Khan, N. and Alam, M. (2019) Design and Development of a Novel Symmetric Algorithm for Enhancing Data Security in Cloud Computing. Journal of Information Security, 10, 199-236.
Research output : Contribution to journal › Article › peer-review
Ahsan Ullah
Anayt Rabbi, Mohammad Samiul Islam, Anjuman Luna, Mohammad Mobarak Hossain, Mst. NishitaAktar, Shamsun Nahar, Nadira Islam, Faizul Huq Arif “Quality of Service (qos) of A Zigbee Network Through Device Priority with Packet Distribution Technique”International Conference on Engineering & Technology (ICET-19) August 2019, Berlin Germany
Research output : Contribution to conference › Article › peer-review
Shamsun Nahar
Design and Development of a Novel Symmetric Algorithm for Enhancing Data Security in Cloud Computing
Hossain, M.A., Ullah, A., Khan, N.I. and Alam, M.F., 2019. Design and development of a novel symmetric algorithm for enhancing data security in cloud computing. Journal of Information Security, 10, pp.199?236. https://doi.org/10.4236/jis.2019.104012
Research output : Contribution to journal › Article › peer-review
Mohammad Anwar Hossain
Enhanced Women Safety and Well-Suited Public Bus Management System in Bangladesh Using IoT
Ullah, A., Hossain, M., Zaman, N., Dey, M. and Kundu, T. (2019) ‘Enhanced Women Safety and Well-Suited Public Bus Management System in Bangladesh Using IoT’, Advances in Internet of Things, 9, pp. 72–84. doi:10.4236/ait.2019.94006
Research output : Contribution to journal › Article › peer-review
Mohammad Anwar Hossain

2018

Maung, S., Shiraje, S., Islam, A., Hossain, M.M., Nahar, S., and Arif, M.F.H., 2018. Optimization of ZigBee Network Parameters for the Improvement of Quality of Service. Journal of Computer and Communications, 6(06).
Research output : Contribution to journal › Article › peer-review
Shamsun Nahar

2017

Shamsun Nahar, Mohammad Nurul Huda, Md. Nur E Arefin, Mohammad Mahbubur Rahman “Evaluation of Machine Translation Approaches to Translate English to Bengali” International Conference of Computer and Information Technology (ICCIT), held on 22-24 December,2017.
Research output : Contribution to conference › Article › peer-review
Shamsun Nahar

2016

Analysis on the effect of stimulation parameters in electrical stimulation procedure on the human bicep muscle.
Azman, A.W., Naeem, J., Mustafah, Y.M., Mohamad, S., Khan, S., Alam, A.M.Z. and Habaebi, H., 2016. Analysis on the effect of stimulation parameters in electrical stimulation procedure on the human bicep muscle. Jurnal Teknologi (Sciences & Engineering), 78(7-5).
Research output : Contribution to journal › Article › not peer-review
Dr. Jannatul Naeem

2014

Shamsun Nahar, FarihaJabin, “Displaying All Bangla Compound Letters & Alphabets By 32-Segment” IOSR Journal of Computer Engineering (IOSR-JCE), vol 16, issue 2, 2014
Research output : Contribution to journal › Article › peer-review
Shamsun Nahar

2013

An investigation of fatigue phenomenon in the upper limb muscle due to short duration pulses in an FES system
Naeem, J., Azman, A.W., Khan, S. and Mustafah, Y.M., 2013, December. An investigation of fatigue phenomenon in the upper limb muscle due to short duration pulses in an FES system. In IOP Conference Series: Materials Science and Engineering (Vol. 53, No. 1, p. 012067). IOP Publishing.
Research output : Contribution to conference › Article › not peer-review
Dr. Jannatul Naeem
Shamsun Nahar,Fatema Tasnim Binte Shafiq, Fariha Jabin, Zannatul Ferdouse, “Competent Cell Phone Keypad Design for Bangla SMS Using English Alphabets”, International Conference on Informatics, Electronics & Vision(ICIEV), held on 17-18 May, 2013.
Research output : Contribution to conference › Article › peer-review
Shamsun Nahar

2012

The design of non-invasive functional electrical stimulation (FES) for restoration of muscle function
A. W. Azman, J. Naeem and Y. M. Mustafah, "The design of non-invasive functional electrical stimulation (FES) for restoration of muscle function," 2012 International Conference on Computer and Communication Engineering (ICCCE), Kuala Lumpur, Malaysia, 2012, pp. 612-616,
Research output : Contribution to conference › Paper › not peer-review
Dr. Jannatul Naeem
Shamsun Nahar, Sultana Akter and M. R. Khatun, “Efficient Cell Phone Keypad Designing for Bangla SMS Using English Alphabets”, Journal of Computer Engineering and Intelligent Systems, IISTE, vol 3, no 4, 2012.
Research output : Contribution to journal › Article › peer-review
Shamsun Nahar

08 May 2026

StrokeXNet: A Novel CNN–Transformer Fusion with Interpretable Attention for Robust Brain MRI Stroke Detection
Noor, N.U., Hossain, M.A., Sarkar, M.S., Nishat, F.Z., Nahar, S. and Rahman, K.M., 2025. StrokeXNet: A Novel CNN–Transformer Fusion with Interpretable Attention for Robust Brain MRI Stroke Detection. In: 2025 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON). IEEE.
Research output : Contribution to conference › Paper › peer-review
Kh. Mustafizur Rahman

Undated Publications

Enhancing Network Security: A Hybrid Approach for Detection and Mitigation of Distributed Denial-of-Service Attacks Using Machine Learning
Research output : Contribution to journal › Article › peer-review
Md. Nazmus Sakib
 Electrical stimulator with mechanomyography-based real-time monitoring, muscle fatigue detection, and safety shut-off: a pilot study. Naeem, J., Hamzaid, N., Azman, A. and Bijak, M. Biomedical Engineering / Biomedizinische Technik, 2020 Vol. 65 (4), pp. 461-468.
Research output : Contribution to journal
Dr. Jannatul Naeem
Mechanomyography-based muscle fatigue detection during electrically elicited cycling in patients with spinal cord injury. Naeem, J., Hamzaid, N.A., Islam, M.A. Med Biol Eng Comput (2019) 57, 1199–1211 
Research output : Contribution to journal
Dr. Jannatul Naeem
 Development of a Mechanomyography (MMG)-Based Muscle Strength Monitoring Tool for Long Covid Patients.Rao, H., Hamzaid, N., Hamzah, N., Ahmad, M., Naeem, J.  4th International Conference for Innovation in Biomedical Engineering and Life Sciences. (2024).ICIBEL 2022. IFMBE Proceedings, vol 107. Springer, Cham. https://doi.org/10.1007/978-3-031-56438-3_11
Research output : Contribution to conference
Dr. Jannatul Naeem
Leveraging LoRaWAN technology for smart agricultural monitoring of Malaysian palm oil plantation. Anzum, R. and Naeem, J., 2021.  In IOP Conference Series: Earth and Environmental Science V(756), No. 1, p. 012052
Research output : Contribution to conference
Dr. Jannatul Naeem
Enhancing performance of maodv routing protocol for wireless mesh network using integrated multiple metrics technique (immt). Anwar, F., Abdalla, A.H., Bari, S.S., Akhtaruzzaman, M., Masud, M.H., Naeem, J., Azad, M.S. and Rahman, M.A.International Journal of Computer Networks & Communications (IJCNC).  2012. methods, 2(3), p.11.
Research output : Contribution to journal
Dr. Jannatul Naeem
A simulation based performance comparison of routing protocol on Mobile Ad-hoc Network (proactive, reactive and hybrid). M. A. Rahman, F. Anwar, J. Naeem and M. S. M. Abedin.  International Conference on Computer and Communication Engineering (ICCCE'10) 2010, pp. 1-5
Research output : Contribution to conference
Dr. Jannatul Naeem
Ahsan Ullah,Md. Emtiaz AhammedMd. Emtiaz AhammedMd. Mohiuddin Bhuiyan,Md.Nazmus Sakib (2023) IoT Based Nurse Activities Monitoring and Controlling System January 2023 Advances in Internet of Things 13(03):63-82 DOI: 10.4236/ait.2023.133004
Research output : Contribution to journal
Md. Nazmus Sakib
Md.Nazmus Sakib,Kazi Hassan Robin,Ayesha Siddika,Shamsun Nahar (2023) A Novel Approach of Detecting Malicious Phishing URL using Self-Organizing Map, Conference: International Symposium on Automatic Control and Emerging Technologies(ACET 2023)
Research output : Contribution to journal › Article › peer-review
Md. Nazmus Sakib
Debashis Kundu,Md. Mushfiqur Rahman,Md.Nazmus Sakib,Mst. Nishita Aktar (2023) A novel approach incorporating feature extraction followed by YOLOv7 for quality enhancement of mangoes in Bangladesh July 2023,14th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (waiting for pulication)
Research output : Contribution to journal
Md. Nazmus Sakib
Y. A. Joarder, Kh. Mustafizur Rahman and Fabiha Faiz Mahi (2020) Uplifted Tissue Characterization and Classification of Fatty Liver Disease from Ultrasound Images. Advancement in Image Processing and Pattern Recognition, 3(3), pp. 1–13.
Research output : Contribution to journal
Kh. Mustafizur Rahman
Y. A. Joarder, Kh. Mustafizur Rahman and Ahsan Ullah (2019) A Hybrid Partitioning Algorithm for Robust Big Data Clustering and Analysis. Journal of Network Security and Data Mining, 2(3), pp. 1–16.
Research output : Contribution to journal
Kh. Mustafizur Rahman
Mst. Nishita Aktar, Sornali Akter, Md. Nusaim Islam Saad, Jakir Hosen Jisun, Kh. Mustafizur Rahman, Md. Nazmus Sakib A study on watering hole attack recognition  “International Conference on Cognitive Computing and Artificial Intelligence (ICCCAI-2024) in association with Taylor's University, Malaysia"
Research output : Contribution to conference › Article › peer-review
Mst. Nishita Aktar
Anayt Rabbi, Mohammad Samiul Islam, Anjuman Luna, Mohammad Mobarak Hossain, Mst. NishitaAktar, Shamsun Nahar, Nadira Islam, Faizul Huq Arif . Quality of Service (qos) of A Zigbee Network Through Device Priority with Packet Distribution Technique. International Journal of Advanced Science and Technology Vol. 29, No.02, (2020), pp. 1313-1321
Research output : Contribution to conference
Mst. Nishita Aktar
Mohammad Sayeedur Rahman, Busrat Jahan, Md. Al-Amin Nipu, Shamsun Nahar, Mst. Nishita Aktar, Nadira Islam, Mohammad Mobarak Hossain, Md. Faizul Huq Arif, 2019. An Analysis of Smart-Phone Industry in Bangladesh Using Porter’s Five Forces Model. Open Access Library Journal, Volume 6, e5730
Research output : Contribution to journal
Mst. Nishita Aktar
Debashis Kundu,Md. Mushfiqur RahmanMd.Nazmus Sakib,Mst. Nishita Aktar A novel approach incorporating feature extraction followed by YOLOv7 for quality enhancement of mangoes in Bangladesh July 2023,14th International Conference on Computing, Communication and Networking Technologies (ICCCNT) 
Research output : Contribution to conference
Mst. Nishita Aktar
Md. Nazmus Sakib; Afzal Hossain; Ahsan Ullah; Mst. Nishita Aktar; Noshin Un Noor; Kh. Mustafizur Rahman , Securing Critical Infrastructure: A Robust DNP3 Intrusion Detection System Employing Recurrent Neural Networks "2024 IEEE International Conference on Computing, Applications and Systems (COMPAS)"
Research output : Contribution to conference › Article › peer-review
Mst. Nishita Aktar
Md.Nazmus Sakib1 , Mst.Nishita Aktar2 , Afzal Hossain3 and Ahsan Ullah4 , Kh.Mustafizur Rahman5 , Shamsun Nahar6 , Jannatul Ferdous Mirza7 , and Md. Mahmud Khan8 "Real-Time Unconscious Human Behavior Detection Incorporating Enhanced CSPDarknet53 and YOLOv9 " ICAMS 2025: 2nd International Conference on Artificial Intelligence, Machine Learning & Intelligent Systems
Research output : Contribution to conference › Paper › peer-review
Mst. Nishita Aktar
Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
30
Research output : Contribution to journal › Article › peer-review
Nusrat Jahan
Safeguardnet: Enhancing corporate safety via tailored deep transfer learning for threat recognition
3
Research output : Contribution to journal › Article › peer-review
Nusrat Jahan
Kazi H. Robin
Associate Professor
A Novel Approach of Detecting Malicious Phishing URL Using Self-organizing Map
Sakib, M.N., Robin, K.H., Siddika, A., Nahar, S. (2024). A Novel Approach of Detecting Malicious Phishing URL Using Self-organizing Map. In: El Fadil, H., Zhang, W. (eds) Automatic Control and Emerging Technologies. ACET 2023. Lecture Notes in Electrical Engineering, vol 1141. Springer, Singapore. https://doi.org/10.1007/978-981-97-0126-1_23
2024 | Research output : Contribution to conference › Article › peer-review
ADHD Scout: Mobile Application for Home-Based Screening to Facilitate Early Detection of ADHD in Children
Robin, K.H., Rahman, M.L., Rahman, M.H., Karim, R. (2024). ADHD Scout: Mobile Application for Home-Based Screening to Facilitate Early Detection of ADHD in Children. In: Hassanien, A.E., Anand, S., Jaiswal, A., Kumar, P. (eds) Innovative Computing and Communications. ICICC 2024. Lecture Notes in Networks and Systems, vol 1043. Springer, Singapore. https://doi.org/10.1007/978-981-97-4228-8_9
2024 | Research output : Contribution to conference › Article › peer-review
NoPass—A Novel Passwordless Multi-authentication-Based Approach for Secure Login
Robin, K.H., Hosain, M., Rahman, M.H., Nahar, S. (2024). NoPass—A Novel Passwordless Multi-authentication-Based Approach for Secure Login. In: Giri, D., Das, S., Corchado Rodríguez, J.M., De, D. (eds) Proceedings of Third International Conference on Advanced Computing and Applications. ICACA 2024. Lecture Notes in Networks and Systems, vol 1045. Springer, Singapore. https://doi.org/10.1007/978-981-97-4799-3_9
2024 | Research output : Contribution to conference › Article › peer-review
Enhancing False Positive Alert Detection in Security Information and Event Management System Using Recurrent Neural Network
M. N. Aktar et al., "Enhancing False Positive Alert Detection in Security Information and Event Management System Using Recurrent Neural Network," 2024 27th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2024, pp. 2794-2799, doi: 10.1109/ICCIT64611.2024.11022066.
2024 | Research output : Contribution to conference › Article › peer-review
AVCPR; web-based tool for extracting data from clinical pathology records to facilitate additional analysis and dynamic visualization
Shahriar, S.M. et al. (2023) ‘AVCPR; web-based tool for extracting data from clinical pathology records to facilitate additional analysis and dynamic visualization’, Proceedings of the 2023 5th Asia Pacific Information Technology Conference, pp. 1–9. doi:10.1145/3588155.3588156.
2023 | Research output : Contribution to conference › Article › peer-review
IoT based nurse activities monitoring and controlling system
Ullah, A. , Ahammed, M. , Bhuiyan, M. , Dasgupta, S. , Robin, K. and Sakib, N. (2023) IoT Based Nurse Activities Monitoring and Controlling System. Advances in Internet of Things, 13, 63-82. doi: 10.4236/ait.2023.133004.
2023 | Research output : Contribution to journal › Article › peer-review
An Improved Approach of Image Steganography Based on Least Significant Bit Technique for Secure Communication in Cloud
Alam, K., Nushrat, S., Patwary, A.H., Ullah, A., Robin, K.H. (2023). An Improved Approach of Image Steganography Based on Least Significant Bit Technique for Secure Communication in Cloud. In: Woungang, I., Dhurandher, S.K., Pattanaik, K.K., Verma, A., Verma, P. (eds) Advanced Network Technologies and Intelligent Computing. ANTIC 2022. Communications in Computer and Information Science, vol 1797. Springer, Cham. https://doi.org/10.1007/978-3-031-28180-8_15
2023 | Research output : Contribution to conference › Article › peer-review
An agent based dynamic knowledge profile framework
K. H. Robin, S. Uddin and T. Chowdhury, "An Agent Based Dynamic Knowledge Profile Framework," 2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 2019, pp. 1-5, doi: 10.1109/IC4ME247184.2019.9036544.
2019 | Research output : Contribution to conference › Article › peer-review
Ahsan Ullah
Assistant Professor
Feature Selection-Based Multi-Layered Ransomware Detection Approach Using Ensemble Machine Learning
Un Noor, N., Hasan, H.M.A., Hossain, M.A., Ullah, A., Naeem, J., Rahman, K.M. and Emee, A.F., 2026. Feature Selection-Based Multi-Layered Ransomware Detection Approach Using Ensemble Machine Learning. In: 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Chittagong, Bangladesh, 16–18 April 2026.
2026 | Research output : Contribution to conference › Article › peer-review
Inter-Arrival Time Driven Intrusion Detection for DoS Traffic in Cloud Networks Using SMOTE-Enhanced Deep Learning Optimization
Hossain, M.A., Hasan, H.M.A., Noor, N.U., Ullah, A., Naeem, J., Sarkar, M.S. and Rahman, K.M., 2026. Inter-Arrival Time Driven Intrusion Detection for DoS Traffic in Cloud Networks Using SMOTE-Enhanced Deep Learning Optimization. In: 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Chittagong, Bangladesh, 16–18 April 2026.
2026 | Research output : Contribution to conference › Article › peer-review
A Comparative Study of Bangla Social Media Cyberbullying Detection Integrating Machine Learning and Blockchain Technology(Accepted and Waiting for Publication)
Sakib, M.N., Naeem, J., Aktar, M.N., Hossain, A., Noor, N.U., Rahman, K.M., Ullah, A. and Hossain, M.A., 2026. A Comparative Study of Bangla Social Media Cyberbullying Detection Integrating Machine Learning and Blockchain Technology. In: International Conference on Electrical, Computer and Communication Technologies (ECCT 2026). Waiting for Publication
2026 | Research output : Contribution to chapter › Article › peer-review
A Decentralized Blockchain-based Voting System: Ensuring Security, Transparency, and Trust Using Ethereum
Mohammad Anwar Hossain, Ahsan Ullah, et al, 2025, December. A Decentralized Blockchain-based Voting System: Ensuring Security, Transparency, and Trust Using Ethereum . In 2025 28th International Conference on Computer and Information Technology (ICCIT). IEEE.
2025 | Research output : Contribution to conference › Article › peer-review
Smart Livestock Guardian: Internet of Things-Driven Real-Time Health and Location Analytics
Hossain, M. , Noor, N. , Nahar, S. , Islam, M. , Shishir, M. , Paul, A. , Hossain, T. , Ullah, A. , Chakraborty, A. and Hossain, M. (2025) Smart Livestock Guardian: Internet of Things-Driven Real-Time Health and Location Analytics. Advances in Internet of Things, 15, 61-86. doi: 10.4236/ait.2025.153004.
2025 | Research output : Contribution to journal › Article › peer-review
5G Network Vulnerabilities: A Security Mechanism for Detecting and Blocking DDoS Threats at the Network Edge
Mahmud, S., Ullah, A., Shipon, S. H., Hassan, M. and Sakib, M. N. (2025) 5G Network Vulnerabilities: A Security Mechanism for Detecting and Blocking DDoS Threats at the Network Edge . Journal of Information Security, 16, 472-499. doi: 10.4236/jis.2025.164024.
2025 | Research output : Contribution to journal › Article › peer-review
Balanced Deep Neural Network (BDNN) for Scalable, Real-Time Phishing URL Detection Using Hybrid Machine Learning and Deep Learning Ensembles
Ahsan Ullah, et al, 2025, December. Balanced Deep Neural Network (BDNN) for Scalable, Real-Time Phishing URL Detection Using Hybrid Machine Learning and Deep Learning Ensembles. 2025 IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON), IEEE.
2025 | Research output : Contribution to conference › Article › peer-review
BDNN based Enhanced Hybrid Ensemble Framework for Robust Phishing Detection and Secure Real-Time Deployment
Ahsan Ullah, et al, 2025, December. BDNN based Enhanced Hybrid Ensemble Framework for Robust Phishing Detection and Secure Real-Time Deployment . In 2025 28th International Conference on Computer and Information Technology (ICCIT) (pp. 1809-1814). IEEE.
2025 | Research output : Contribution to conference › Article › peer-review
Adversarial Training for Fraud Detection in Mobile Finance in Bangladesh: A Hybrid Approach Using Machine Learning(Accepted and Waiting for Publication)
Mohammad Anwar Hossain, Noshin Un Noor, Kh. Mustafizur Rahman, Shamsun Nahar, Md. Nazmus Sakib, Ahsan Ullah, 2025, December. Adversarial Training for Fraud Detection in Mobile Finance in Bangladesh: A Hybrid Approach Using Machine Learning . In 2025 IEEE International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON)). IEEE.
2025 | Research output : Contribution to conference › Article › peer-review
Enhanced Malaria Diagnosis via Hybrid CNN-Transformer Ensemble Learning: A Step Towards Automated Health Systems
Ahsan ullah. et al, 2025, December. Enhanced Malaria Diagnosis via Hybrid CNN-Transformer Ensemble Learning: A Step Towards Automated Health Systems. In 2025 28th International Conference on Computer and Information Technology (ICCIT). IEEE.
2025 | Research output : Contribution to conference › Article › peer-review
IoT-Enabled Hysteresis Control System for Enhanced Photovoltaic Panel Performance in Rural Solar Applications
M. A. Hossain et al., "IoT-Enabled Hysteresis Control System for Enhanced Photovoltaic Panel Performance in Rural Solar Applications," 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Rangpur, Bangladesh, 2025, pp. 1-6, doi: 10.1109/QPAIN66474.2025.11172215.
2025 | Research output : Contribution to conference › Article › peer-review
Real-Time Unconscious Human Behavior Detection Incorporating Enhanced CSPDarknet53 and YOLOv9
"Md.Nazmus Sakib, Mst.Nishita Aktar, Afzal Hossain, Ahsan Ullah, Kh.Mustafizur Rahman, Shamsun Nahar, Jannatul Ferdous Mirza, and Md. Mahmud Khan, 2nd International Conference Artificial Intelligence, Machine learning & Intelligent Systems (ICAMS-2025) "
2025 | Research output : Contribution to conference › Article › peer-review
Assessing of software security reliability: Dimensional security assurance techniques
Mohammad Ali and Ahsan Ullah and Md. Rashedul Islam and Rifat Hossain, "Assessing of software security reliability: Dimensional security assurance techniques" Computers & Security,volume=150p,ages = 104230,year = 2025,issn = 0167-4048
2025 | Research output : Contribution to journal › Article › peer-review
Advanced Skin Disease Diagnosis and Treatment: Leveraging Convolutional Neural Networks for Image-Based Prediction and Comprehensive Health Assistance
Noor, N. , Hossain, M. , Hossain, M. , Hasan, M. , Amin, M. , Nahar, S. , Ullah, A. and Hassan, M. (2025) Advanced Skin Disease Diagnosis and Treatment: Leveraging Convolutional Neural Networks for Image-Based Prediction and Comprehensive Health Assistance. Open Journal of Medical Imaging, 15, 1-29. doi: 10.4236/ojmi.2025.151001.
2025 | Research output : Contribution to journal › Article › peer-review
Securing Critical Infrastructure: A Robust DNP3 Intrusion Detection System Employing Recurrent Neural Networks.
Md. Nazmus Sakib, Afzal Hossain, Ahsan Ullah, Mst. Nishita After, Noshin Un Noor, Kh. Mustafizur Rhaman "Securing Critical Infrastructure: A Robust DNP3 Intrusion Detection System Employing Recurrent Neural Networks," 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS), Cox's Bazar, Bangladesh, 2024, pp. 1-5, doi: 10.1109/COMPAS60761.2024.10797009.
2024 | Research output : Contribution to conference › Article › peer-review
Securing Critical Infrastructure: A Robust DNP3 Intrusion Detection System Employing Recurrent Neural Networks
Md. Nazmus Sakib, Afzal Hossain, Ahsan Ullah, Mst. Nishita After, Noshin Un Noor, Kh. Mustafizur Rhaman "Securing Critical Infrastructure: A Robust DNP3 Intrusion Detection System Employing Recurrent Neural Networks," 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS), Cox's Bazar, Bangladesh, 2024, pp. 1-5, doi: 10.1109/COMPAS60761.2024.10797009.
2024 | Research output : Contribution to book › Article › peer-review
Phishing Detection in Browser-in-the-Middle: A Novel Empirical Approach Incorporating Machine Learning Algorithms
Shahriyar, M., Seyam, Z.S., Ullah, A., Sakib, M. (2024). Phishing Detection in Browser-in-the-Middle: A Novel Empirical Approach Incorporating Machine Learning Algorithms. In: Verma, A., Verma, P., Pattanaik, K.K., Dhurandher, S.K., Woungang, I. (eds) Advanced Network Technologies and Intelligent Computing. ANTIC 2023. Communications in Computer and Information Science, vol 2093. Springer, Cham. https://doi.org/10.1007/978-3-031-64067-4_9
2024 | Research output : Contribution to book › Article › peer-review
 Enhancing Network Security: A Hybrid Approach for Detection and Mitigation of Distributed Denial-of-Service Attacks Using Machine Learning
Shohan, N.J., Tanbhir, G., Elahi, F., Ullah, A., Sakib, M.N. (2024). Enhancing Network Security: A Hybrid Approach for Detection and Mitigation of Distributed Denial-of-Service Attacks Using Machine Learning. In: Verma, A., Verma, P., Pattanaik, K.K., Dhurandher, S.K., Woungang, I. (eds) Advanced Network Technologies and Intelligent Computing. ANTIC 2023. Communications in Computer and Information Science, vol 2091. Springer, Cham. https://doi.org/10.1007/978-3-031-64064-3_7
2024 | Research output : Contribution to book › Article › peer-review
A Comparative Study on Vulnerabilities, Challenges, and Security Measures in Wireless Network Security
Ullah, A., Sakib, M.N., Rahman, M.H., Shahin, M.S.K., Hossain, F., Hossain, M.A. (2024). A Comparative Study on Vulnerabilities, Challenges, and Security Measures in Wireless Network Security. In: Abraham, A., Pllana, S., Hanne, T., Siarry, P. (eds) Intelligent Systems Design and Applications. ISDA 2023. Lecture Notes in Networks and Systems, vol 1048. Springer, Cham. https://doi.org/10.1007/978-3-031-64650-8_28.
2024 | Research output : Contribution to book › Article › peer-review
Enhancing False Positive Alert Detection in Security Information and Event Management System Using Recurrenot Neural network
Mst. Nishita Aktar; Md. Nazmus Sakib; Afzal Hossain; Ahsan Ullah; Kazi Hassan Robin; Kh. Mustafizur Rahman
2024 | Research output : Contribution to conference › Article › peer-review
Enhancing Video Steganography Techniques Using Hybrid Algorithms
Hossain, M.A., Noor, N.U., Ullah, A., Noman, M.S.H., Pranta, S.D., Bristy, L.M. and Bashar, M.M. (2024) ‘Enhancing video steganography techniques using hybrid algorithms’, Open Access Library Journal, 11, pp.?1–21. doi: 10.4236/oalib.1111489
2024 | Research output : Contribution to journal › Article › peer-review
A Novel LSB Steganography Technique for Enhancing Cloud Security
Ullah, A., Haque, Md. I., Hossain, Md. M., Ahammad, Md. S. and Aktar, Mst. N. (2024) A Novel LSB Steganography Technique for Enhancing Cloud Security. Journal of Information Security, 15, 355-377. doi: 10.4236/jis.2024.153021.
2024 | Research output : Contribution to journal › Article › peer-review
Enhancing The Cyber Security Using Ensemble Stacking Model For Phishing Sites Detection With Hyperparameter tuning
Hassan, M.M., Ullah, A., Chakraborty, A., Sarker, N. and Roy, B.K.S., 2024, December. Enhancing The Cyber Security Using Ensemble Stacking Model For Phishing Sites Detection With Hyperparameter Tuning. In 2024 27th International Conference on Computer and Information Technology (ICCIT) (pp. 1809-1814). IEEE.
2024 | Research output : Contribution to journal › Article › peer-review
AVCPR; web-based tool for extracting data from clinical pathology records to facilitate additional analysis and dynamic visualization
S. M. Abrar Shahriar, Md. Limon, Mst. Nawshin Tasnim, Ahsan Ullah, Kazi Hassan Robin, AVCPR; web-based tool for extracting data from clinical pathology records to facilitate additional analysis and dynamic visualization, 2023 5th Asia Pacific Information Technology Conference (APIT), ACM, https://doi.org/10.1145/3588155.3588156
2023 | Research output : Contribution to conference › Article › peer-review
An Improved Approach of Image Steganography Based on Least Significant Bit Technique for Secure Communication in Cloud
Alam, K., Nushrat, S., Patwary, A.H., Ullah, A., Robin, K.H. (2023). An Improved Approach of Image Steganography Based on Least Significant Bit Technique for Secure Communication in Cloud. In: Woungang, I., Dhurandher, S.K., Pattanaik, K.K., Verma, A., Verma, P. (eds) Advanced Network Technologies and Intelligent Computing. ANTIC 2022. Communications in Computer and Information Science, vol 1797. Springer, Cham. https://doi.org/10.1007/978-3-031-28180-8_15
2023 | Research output : Contribution to book › Article › peer-review
IoT Based Nurse Activities Monitoring and Controlling System
Ullah, A. , Ahammed, M. , Bhuiyan, M. , Dasgupta, S. , Robin, K. and Sakib, N. (2023) IoT Based Nurse Activities Monitoring and Controlling System. Advances in Internet of Things, 13, 63-82. doi: 10.4236/ait.2023.133004.
2023 | Research output : Contribution to journal › Article › peer-review
A Cost-effective Smart Cradle Baby Monitoring System for assist the Parents.
Ahsan Ullah, & Afzal Hossain. (2022). A Cost-effective Smart Cradle Baby Monitoring System for assist the Parents. Advanced Innovations in Computer Programming Languages, 4(3), 2022.
2022 | Research output : Contribution to journal › Article › peer-review
Design and Development of a Hybrid Intrusion Detection and Prevention System for Cloud Computing and Internet of Things Environment. 
Safayet Hossain, Sanzida Islam, Ahsan Ullah, & Afzal Hossain. (2022). Design and Development of a Hybrid Intrusion Detection and Prevention System for Cloud Computing and Internet of Things Environment. Recent Innovations in Wireless Network Security, 4(2), 1–9.
2022 | Research output : Contribution to journal › Article › peer-review
Design and Development of a Dynamic Hashing Algorithm
Nasir Mahmud Apar, MD. Minhazul Islam Munna, Ahsan Ullah, Habibur Rahman, “Design and Development of a Dynamic Hashing Algorithm,” International Journal of Scientific Research in Computer Science and Engineering, Vol.10, Issue.1, pp.8-14, 2022.
2022 | Research output : Contribution to journal › Article › peer-review
Design and development of a novel symmetric algorithm for enhancing information security
Mohammad Anwar Hossain, Ahsan Ullah, Md. Shakil Hossain, Sumaiya Begum, Md. Ibrahim. Design and development of a novel symmetric algorithm for enhancing information security. Int J Commun Inf Technol 2021;2(1):49-60.
2021 | Research output : Contribution to journal › Article › peer-review
IoT Based Smart Pisciculture Monitoring and Prediction System in Bangladesh. 
Ahsan Ullah. (2020). IoT Based Smart Pisciculture Monitoring and Prediction System in Bangladesh. Journal of Advance Research in Mobile Computing, 2(1), 1–19.
2020 | Research output : Contribution to journal › Article › peer-review
IoT based Vehicle Speed Monitoring and Controlling System for Reducing Accident occurs on the Road in Bangladesh
Ahsan Ullah, Arfatul Sumiraj, Md. Shanawoaz, & Ahashanul Kabir. (2020). IoT based Vehicle Speed Monitoring and Controlling System for Reducing Accident occurs on the Road in Bangladesh. Journal of Advancement in Parallel Computing, 3(1), 1–17.
2020 | Research output : Contribution to journal › Article › peer-review
A Hybrid Partitioning Algorithm for Robust Big Data Clustering and Analysis
Y. A. Joarder, Kh. Mustafizur Rahman, & Ahsan Ullah. (2019). A Hybrid Partitioning Algorithm for Robust Big Data Clustering and Analysis. Journal of Network Security and Data Mining, 2(3), 1–16.
2019 | Research output : Contribution to journal › Article › peer-review
Design and Development of a Novel Symmetric Algorithm for Enhancing Data Security in Cloud Computing
Hossain, M. , Ullah, A. , Khan, N. and Alam, M. (2019) Design and Development of a Novel Symmetric Algorithm for Enhancing Data Security in Cloud Computing. Journal of Information Security, 10, 199-236.
2019 | Research output : Contribution to journal › Article › peer-review
Design and Implementation of Android Based Text Encryption and Decryption Technique. 
Ahsan Ullah, & Afzal Hossain. (2019). Design and Implementation of Android Based Text Encryption and Decryption Technique. Research & Reviews: Journal of Internet & Networking, 1(3), 1–16.
2019 | Research output : Contribution to journal › Article › peer-review
Analysis, Design and Development of a Predictive Model to Predict Coronary Attorney of Human Body using Data Mining Algorithm.
Afzal Hossain, Nawshin Nawal Bithi, & Ahsan Ullah. (2019). Analysis, Design and Development of a Predictive Model to Predict Coronary Attorney of Human Body using Data Mining Algorithm. Journal of Network Security and Data Mining, 2(2), 1–21. https://doi.org/10.5281/zenodo.3378683
2019 | Research output : Contribution to journal › Article › peer-review
Vehicle Fuel Activities Monitoring System Using IoT
Khatun, R. , Antor, S. , Ullah, A. and Hossain, A. (2019) Vehicle Fuel Activities Monitoring System Using IoT. Advances in Internet of Things, 9, 63-71.
2019 | Research output : Contribution to journal › Article › peer-review
Smart IoT Based Launch Activities Monitoring System for Reducing the Accident Occurs on the River,Journal of Sensor Research and Technologies.
Ahsan Ullah*, Shahzabin Reza Mimu, Ayndrila Biswas, Md. Golam Rasel, & Mourita Mozib. (2019). Smart IoT Based Launch Activities Monitoring System for Reducing the Accident Occurs on the River,Journal of Sensor Research and Technologies.
2019 | Research output : Contribution to journal › Article › peer-review
Enhanced Women Safety and Well-Suited Public Bus Management System in Bangladesh Using IoT
Ullah, A. , Hossain, M. , Zaman, N. , Dey, M. and Kundu, T. (2019) Enhanced Women Safety and Well-Suited Public Bus Management System in Bangladesh Using IoT. Advances in Internet of Things, 9, 72-84.
2019 | Research output : Contribution to journal › Article › peer-review
Cost Effective Smart Hydroponic Monitoring and Controlling System Using IoT
Ullah, A. , Aktar, S. , Sutar, N. , Kabir, R. and Hossain, A. (2019) Cost Effective Smart Hydroponic Monitoring and Controlling System Using IoT. Intelligent Control and Automation, 10, 142-154.
2019 | Research output : Contribution to journal › Article › peer-review
Citizen-Centric Complaint Reporting and Analyzing Mechanism
Ullah, A. , Singha, T. , Sarker, H. , Pia, F. and Hossain, A. (2023) Citizen-Centric Complaint Reporting and Analyzing Mechanism. Journal of Software Engineering and Applications, 16, 223-263. doi: 10.4236/jsea.2023.166013.
2019 | Research output : Contribution to journal › Article › peer-review
Shamsun Nahar
Assistant Professor
A Novel Hybrid Quantum Framework for Assessing Noise Effects on Performance of Shor’s Algorithm
2025 | Research output : Contribution to journal › Paper › peer-review
Advanced Skin Disease Diagnosis and Treatment: Leveraging Convolutional Neural Networks for Image-Based Prediction and Comprehensive Health Assistance
2025 | Research output : Contribution to journal › Article › peer-review
Adversarial Training for Fraud Detection in Mobile Finance in Bangladesh: A Hybrid Approach Using Machine Learning
2025 | Research output : Contribution to conference › Article › peer-review
IoT-Enabled Hysteresis Control System for Enhanced Photovoltaic Panel Performance in Rural Solar Applications
2025 | Research output : Contribution to conference › Paper › peer-review
Comparative Analysis of Deep Learning Techniques for Rice Leaf Disease Detection: Object Detection and YOLO Model Evaluation
2025 | Research output : Contribution to conference › Article › peer-review
Real-Time Unconscious Human Behavior Detection Incorporating Enhanced CSPDarknet53 and YOLOv9
2025 | Research output : Contribution to conference › Article › peer-review
Smart Livestock Guardian: Internet of Things Driven Real-Time Health and Location Analytics
2025 | Research output : Contribution to journal › Paper › peer-review
Advancement in Neuroimaging: Automated Identification of Brain Stroke through Machine Learning
2025 | Research output : Contribution to conference › Paper › peer-review
Securing Critical Infrastructure: A Robust DNP3 Intrusion Detection System Employing Recurrent Neural Networks
2024 | Research output : Contribution to conference › Article › peer-review
NoPass—A Novel Passwordless Multi-authentication-Based Approach for Secure Login
2024 | Research output : Contribution to conference › Article › peer-review
A Novel Approach of Detecting Malicious Phishing URL using Self-Organizing Map, International Symposium on Automatic Control and Emerging Technologies(ACET 2023) Md.Nazmus Sakib, Kazi Hassan Robin, Ayesha Siddika, Shamsun Nahar
2024 | Research output : Contribution to conference › Article › peer-review
Mosharraf Hosain, Kazi Hassan Robin , Shamsun Nahar, NoPass - A Novel Passwordless Multi Authentication-based Approach for Secure Login (ICACA 2024)
2024 | Research output : Contribution to conference › Article › peer-review
Md. Nazmus Sakib, Kazi Hassan Robin, Ayesha Siddika, Shamsun Nahar, A Novel Approach of Detecting Malicious Phishing URL using Self-Organizing Map ACET 2023: Automatic Control and Emerging Technologies pp 259–268
2023 | Research output : Contribution to journal › Article › peer-review
Anayt Rabbi, Mohammad Samiul Islam, Anjuman Luna, Mohammad Mobarak Hossain, Mst. NishitaAktar, Shamsun Nahar, Nadira Islam, Faizul Huq Arif . Quality of Service (qos) of A Zigbee Network Through Device Priority with Packet Distribution Technique. International Journal of Advanced Science and Technology Vol. 29, No.02, (2020), pp. 1313-1321
2020 | Research output : Contribution to journal › Article › peer-review
Mohammad Sayeedur Rahman, Busrat Jahan, Md. Al-Amin Nipu, Shamsun Nahar, Mst. Nishita Aktar, Nadira Islam, Mohammad Mobarak Hossain, Md. Faizul Huq Arif, 2019. An Analysis of Smart-Phone Industry in Bangladesh Using Porter’s Five Forces Model. Open Access Library Journal, Volume 6, e5730
2019 | Research output : Contribution to journal › Article › peer-review
Afsana Parveen Mukta , Al-Amin Mamun, Chaity Basak, Shamsun Nahar , Md. Faizul Huq Arif “ A Phrase-Based Machine Translation from English to Bangla Using Rule-Based Approach” International Conference on Electrical, Computer and Communication Engineering (ECCE), held on 07-09 February, 2019
2019 | Research output : Contribution to conference › Article › peer-review
Anayt Rabbi, Mohammad Samiul Islam, Anjuman Luna, Mohammad Mobarak Hossain, Mst. NishitaAktar, Shamsun Nahar, Nadira Islam, Faizul Huq Arif “Quality of Service (qos) of A Zigbee Network Through Device Priority with Packet Distribution Technique”International Conference on Engineering & Technology (ICET-19) August 2019, Berlin Germany
2019 | Research output : Contribution to conference › Article › peer-review
Maung, S., Shiraje, S., Islam, A., Hossain, M.M., Nahar, S., and Arif, M.F.H., 2018. Optimization of ZigBee Network Parameters for the Improvement of Quality of Service. Journal of Computer and Communications, 6(06).
2018 | Research output : Contribution to journal › Article › peer-review
Shamsun Nahar, Mohammad Nurul Huda, Md. Nur E Arefin, Mohammad Mahbubur Rahman “Evaluation of Machine Translation Approaches to Translate English to Bengali” International Conference of Computer and Information Technology (ICCIT), held on 22-24 December,2017.
2017 | Research output : Contribution to conference › Article › peer-review
Shamsun Nahar, FarihaJabin, “Displaying All Bangla Compound Letters & Alphabets By 32-Segment” IOSR Journal of Computer Engineering (IOSR-JCE), vol 16, issue 2, 2014
2014 | Research output : Contribution to journal › Article › peer-review
Shamsun Nahar,Fatema Tasnim Binte Shafiq, Fariha Jabin, Zannatul Ferdouse, “Competent Cell Phone Keypad Design for Bangla SMS Using English Alphabets”, International Conference on Informatics, Electronics & Vision(ICIEV), held on 17-18 May, 2013.
2013 | Research output : Contribution to conference › Article › peer-review
Shamsun Nahar, Sultana Akter and M. R. Khatun, “Efficient Cell Phone Keypad Designing for Bangla SMS Using English Alphabets”, Journal of Computer Engineering and Intelligent Systems, IISTE, vol 3, no 4, 2012.
2012 | Research output : Contribution to journal › Article › peer-review
Dr. Jannatul Naeem
Assistant Professor
Analysis on the effect of stimulation parameters in electrical stimulation procedure on the human bicep muscle.
Azman, A.W., Naeem, J., Mustafah, Y.M., Mohamad, S., Khan, S., Alam, A.M.Z. and Habaebi, H., 2016. Analysis on the effect of stimulation parameters in electrical stimulation procedure on the human bicep muscle. Jurnal Teknologi (Sciences & Engineering), 78(7-5).
2016 | Research output : Contribution to journal › Article › not peer-review
An investigation of fatigue phenomenon in the upper limb muscle due to short duration pulses in an FES system
Naeem, J., Azman, A.W., Khan, S. and Mustafah, Y.M., 2013, December. An investigation of fatigue phenomenon in the upper limb muscle due to short duration pulses in an FES system. In IOP Conference Series: Materials Science and Engineering (Vol. 53, No. 1, p. 012067). IOP Publishing.
2013 | Research output : Contribution to conference › Article › not peer-review
The design of non-invasive functional electrical stimulation (FES) for restoration of muscle function
A. W. Azman, J. Naeem and Y. M. Mustafah, "The design of non-invasive functional electrical stimulation (FES) for restoration of muscle function," 2012 International Conference on Computer and Communication Engineering (ICCCE), Kuala Lumpur, Malaysia, 2012, pp. 612-616,
2012 | Research output : Contribution to conference › Paper › not peer-review
 Electrical stimulator with mechanomyography-based real-time monitoring, muscle fatigue detection, and safety shut-off: a pilot study. Naeem, J., Hamzaid, N., Azman, A. and Bijak, M. Biomedical Engineering / Biomedizinische Technik, 2020 Vol. 65 (4), pp. 461-468.
Undated | Research output : Contribution to journal
Mechanomyography-based muscle fatigue detection during electrically elicited cycling in patients with spinal cord injury. Naeem, J., Hamzaid, N.A., Islam, M.A. Med Biol Eng Comput (2019) 57, 1199–1211 
Undated | Research output : Contribution to journal
 Development of a Mechanomyography (MMG)-Based Muscle Strength Monitoring Tool for Long Covid Patients.Rao, H., Hamzaid, N., Hamzah, N., Ahmad, M., Naeem, J.  4th International Conference for Innovation in Biomedical Engineering and Life Sciences. (2024).ICIBEL 2022. IFMBE Proceedings, vol 107. Springer, Cham. https://doi.org/10.1007/978-3-031-56438-3_11
Undated | Research output : Contribution to conference
Leveraging LoRaWAN technology for smart agricultural monitoring of Malaysian palm oil plantation. Anzum, R. and Naeem, J., 2021.  In IOP Conference Series: Earth and Environmental Science V(756), No. 1, p. 012052
Undated | Research output : Contribution to conference
Enhancing performance of maodv routing protocol for wireless mesh network using integrated multiple metrics technique (immt). Anwar, F., Abdalla, A.H., Bari, S.S., Akhtaruzzaman, M., Masud, M.H., Naeem, J., Azad, M.S. and Rahman, M.A.International Journal of Computer Networks & Communications (IJCNC).  2012. methods, 2(3), p.11.
Undated | Research output : Contribution to journal
A simulation based performance comparison of routing protocol on Mobile Ad-hoc Network (proactive, reactive and hybrid). M. A. Rahman, F. Anwar, J. Naeem and M. S. M. Abedin.  International Conference on Computer and Communication Engineering (ICCCE'10) 2010, pp. 1-5
Undated | Research output : Contribution to conference
Md. Nazmus Sakib
Assistant Professor
Enhancing Network Security: A Hybrid Approach for Detection and Mitigation of Distributed Denial-of-Service Attacks Using Machine Learning
Undated | Research output : Contribution to journal › Article › peer-review
Ahsan Ullah,Md. Emtiaz AhammedMd. Emtiaz AhammedMd. Mohiuddin Bhuiyan,Md.Nazmus Sakib (2023) IoT Based Nurse Activities Monitoring and Controlling System January 2023 Advances in Internet of Things 13(03):63-82 DOI: 10.4236/ait.2023.133004
Undated | Research output : Contribution to journal
Md.Nazmus Sakib,Kazi Hassan Robin,Ayesha Siddika,Shamsun Nahar (2023) A Novel Approach of Detecting Malicious Phishing URL using Self-Organizing Map, Conference: International Symposium on Automatic Control and Emerging Technologies(ACET 2023)
Undated | Research output : Contribution to journal › Article › peer-review
Debashis Kundu,Md. Mushfiqur Rahman,Md.Nazmus Sakib,Mst. Nishita Aktar (2023) A novel approach incorporating feature extraction followed by YOLOv7 for quality enhancement of mangoes in Bangladesh July 2023,14th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (waiting for pulication)
Undated | Research output : Contribution to journal
Dr. Md Amran Hossen
Assistant Professor
[Under Review] DPMClusterNet: Unsupervised Clustering of Human Activities from Skeleton Data
2025 | Research output : Contribution to journal › Article › peer-review
[Under Review] Deep Attention Activity Network (DAANet): Enhanced Human Activity Recognition with Automatic Segmentation of Skeleton-Based Human Activities
2025 | Research output : Contribution to journal › Article › peer-review
Machine Learning for Human Activity Recognition: State-of-the-Art Techniques and Emerging Trends
2025 | Research output : Contribution to journal › Article › peer-review
Deep Learning for Skeleton-Based Human Activity Segmentation: An Autoencoder Approach
2024 | Research output : Contribution to journal › Article › peer-review
A comparative study of supervised and unsupervised approaches in human activity analysis based on skeleton data
2023 | Research output : Contribution to journal › Article › peer-review
Evaluation of 2D and 3D posture for human activity recognition
2023 | Research output : Contribution to conference › Article › peer-review
Social Distance Monitoring Using a Low-cost 3d Sensor
2022 | Research output : Contribution to conference › Article › peer-review
Investigation of the Unsupervised Machine Learning Techniques for Human Activity Discovery
2022 | Research output : Contribution to journal › Article › peer-review
Kh. Mustafizur Rahman
Sr. Lecturer
Assessing the Effect of Intelligent Learning Platforms on Academic Performance of University Students in Bangladesh
Emon, M.M.H., Rahman, K.M., Ahmed, M., Islam, M.R., Nath, A. and Kutub, J., 2025. Assessing the Effect of Intelligent Learning Platforms on Academic Performance of University Students in Bangladesh. In: 2025 IEEE 4th International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON). IEEE.
2026 | Research output : Contribution to conference › Paper › peer-review
Exploring Generative AI Adoption in Strategic Brand Storytelling Among Bangladeshi Consumer Brands
Emon, M.M.H., Nath, A., Rahman, K.M., Ahmed, M., Kutub, J. and Rifat, H.H., 2025. Exploring Generative AI Adoption in Strategic Brand Storytelling Among Bangladeshi Consumer Brands. In: 2025 28th International Conference on Computer and Information Technology (ICCIT). IEEE.
2026 | Research output : Contribution to conference › Paper › peer-review
Determinants of Explainable AI Adoption in Customer Service Chatbots: Insights from the Telecom Sector of Bangladesh
Emon, M.M.H., Rahman, K.M., Islam, M.S., Nath, A., Kutub, J. and Santa, N.A., 2025. Determinants of Explainable AI Adoption in Customer Service Chatbots: Insights from the Telecom Sector of Bangladesh. In: 2025 IEEE 7th International Conference on Sustainable Technologies for Industry 5.0 (STI), Dhaka, Bangladesh, 11–12 December 2025. New York: IEEE
2026 | Research output : Contribution to conference › Paper › peer-review
Understanding User Adoption of Cybersecurity Practices through Awareness and Perception for Enhancing Network Security in Bangladesh
Emon, M.M.H., Rahman, K.M., Nath, A., Fuad, M.N., Kabir, S.M.I. and Emee, A.F., 2025. Understanding User Adoption of Cybersecurity Practices through Awareness and Perception for Enhancing Network Security in Bangladesh. In: 2025 IEEE 2nd International Conference on Computing, Applications and Systems (COMPAS). IEEE.
2026 | Research output : Contribution to conference › Article › peer-review
Understanding Employees’ Behavioral Intentions Toward Cybersecurity Adoption in Banks: Evidence from an Emerging Economy
Emon, M.M.H., Rahman, K.M., Ahmed, M., Islam, M.R., Kabir, S.M.I. and Emee, A.F., 2026. Understanding Employees’ Behavioral Intentions Toward Cybersecurity Adoption in Banks: Evidence from an Emerging Economy. In: 2026 5th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE). IEEE.
2026 | Research output : Contribution to conference › Paper › peer-review
An Efficient Machine Learning Based System for Recommendation of Suitable Crop Cultivation Using Soil Mapping Features
Sarkar, M.S., Sakib, M.N., Rahman, K.M., Khan, M.M., Hossain, M.I. and Karim, R., 2025. An Efficient Machine Learning Based System for Recommendation of Suitable Crop Cultivation Using Soil Mapping Features. In: 2025 IEEE 4th International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON). IEEE.
2026 | Research output : Contribution to conference › Paper › peer-review
Evaluating Artificial Intelligence Integration for Improving Supply Chain Efficiency in the Context of Bangladesh’s E-Commerce Sector
Emon, M.M.H., Nath, A., Rahman, K.M., Kutub, J., Rifat, H.H. and Islam, M.M.U., 2025. Evaluating Artificial Intelligence Integration for Improving Supply Chain Efficiency in the Context of Bangladesh’s E-Commerce Sector. In: 2025 IEEE 7th International Conference on Sustainable Technologies For Industry 5.0 (STI). IEEE.
2026 | Research output : Contribution to conference › Paper › peer-review
Examining the Determinants of Generative AI Utilization for SEO and Content Marketing: A TOE Approach in the Bangladeshi Digital Space
Emon, M.M.H., Nath, A., Rahman, K.M., Islam, M.M.U., Niloy, G.B. and Rifat, M., 2025. Examining the Determinants of Generative AI Utilization for SEO and Content Marketing: A TOE Approach in the Bangladeshi Digital Space. In: 2025 IEEE 2nd International Conference on Computing, Applications and Systems (COMPAS). IEEE.
2026 | Research output : Contribution to conference › Paper › peer-review
Exploring Drivers of Sustainable E-Commerce Adoption among SMEs in Bangladesh: A TOE Framework Approach for Industry 5.0 Transformation
Emon, M.M.H., Rahman, K.M., Nath, A., Islam, M.M.U., Rifat, H.H. and Kutub, J., 2025. Exploring Drivers of Sustainable E-Commerce Adoption among SMEs in Bangladesh: A TOE Framework Approach for Industry 5.0 Transformation. In: 2025 IEEE 7th International Conference on Sustainable Technologies For Industry 5.0 (STI). IEEE.
2026 | Research output : Contribution to conference › Paper › peer-review
Exploring the Impact of AI-Powered Content Moderation on Social Media Engagement in Bangladesh
Emon, M.M.H., Rahman, K.M., Ahmed, M., Nath, A., Kutub, J. and Islam, M.R., 2025. Exploring the Impact of AI-Powered Content Moderation on Social Media Engagement in Bangladesh. In: 2025 28th International Conference on Computer and Information Technology (ICCIT). IEEE.
2026 | Research output : Contribution to conference › Paper › peer-review
AI Enabled Industry 4.0 Practices for Enhancing Sustainability Performance: Evidence from Manufacturing Firms in an Emerging Economy
Emon, M.M.H., Rahman, K.M., Ahmed, M., Chowdhury, M.S.A., Emee, A.F. and Kutub, J., 2026. AI Enabled Industry 4.0 Practices for Enhancing Sustainability Performance: Evidence from Manufacturing Firms in an Emerging Economy. In: 2026 5th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE). IEEE.
2026 | Research output : Contribution to conference › Paper › peer-review
AI-Driven Knowledge Management Systems and Their Effect on Innovation Capability of Bangladeshi SMEs
Rahman, K.M., Emon, M.M.H., Nath, A., Khan, S.R., Islam, M.M.U. and Rifat, H.H., 2025. AI-Driven Knowledge Management Systems and Their Effect on Innovation Capability of Bangladeshi SMEs. In: 2025 28th International Conference on Computer and Information Technology (ICCIT). IEEE.
2026 | Research output : Contribution to conference › Paper › peer-review
Effect of Intelligent Cybersecurity Systems on Data Protection and Breach Reduction in Bangladeshi IT Firms
Rahman, K.M., Emon, M.M.H., Islam, M.S., Ahmed, M., Siam, S.A.J. and Rifat, H.H., 2025. Effect of Intelligent Cybersecurity Systems on Data Protection and Breach Reduction in Bangladeshi IT Firms. In: 2025 IEEE 4th International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON). IEEE.
2026 | Research output : Contribution to conference › Paper › peer-review
A Resilient Deep Learning Based Model for Automated Detection of Cardiovascular Abnormalities in ECG Images with Grad-CAM XAI
Sarkar, M.S., Rahman, K.M., Noor, N.U., Hossain, M.A., Karim, R. and Rifat, H.H., 2025. A Resilient Deep Learning Based Model for Automated Detection of Cardiovascular Abnormalities in ECG Images with Grad-CAM XAI. In: 2025 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON). IEEE.
2026 | Research output : Contribution to conference › Paper › peer-review
BDNN Based Enhanced Hybrid Ensemble Framework for Robust Phishing Detection and Secure Real-Time Deployment
Ullah, A., Jabir, A., Sultana, A., Hossain, M.A., Noor, N.U. and Rahman, K.M., 2025. BDNN Based Enhanced Hybrid Ensemble Framework for Robust Phishing Detection and Secure Real-Time Deployment. In: 2025 28th International Conference on Computer and Information Technology (ICCIT). IEEE.
2026 | Research output : Contribution to conference › Paper › peer-review
A Hybrid CNN-Transformer Framework for Automated Stroke Detection in Brain CT with Grad-CAM
Noor, N.U., Hossain, M.A., Nishat, F.Z., Sarkar, M.S., Afrin, S. and Rahman, K.M., 2025. A Hybrid CNN-Transformer Framework for Automated Stroke Detection in Brain CT with Grad-CAM. In: 2025 28th International Conference on Computer and Information Technology (ICCIT). IEEE.
2026 | Research output : Contribution to conference › Paper › peer-review
A Novel Hybrid Quantum Framework for Assessing Noise Effects on Performance of Shor’s Algorithm
2025 | Research output : Contribution to journal › Article › peer-review
Mst. Nishita Aktar, Sornali Akter, Md. Nusaim Islam Saad, Jakir Hosen Jisun, Kh. Mustafizur Rahman, Md. Nazmus Sakib. A Comparative Study of Watering Hole Attack Detection Using Supervised Neural Network “International Conference on Cognitive Computing and Artificial Intelligence (ICCCAI-2024) in association with Taylor's University, Malaysia"
2025 | Research output : Contribution to conference › Article › peer-review
Md Habibullah Shakib, Md. Yeasin, Kh Mustafizur Rahman, Fabiha Faiz Mahi, Saddam Hossain (2025), 'Active learning model used for android malware detection'. Machine Learning with Applications. (Volume 21) doi:10.1016/j.mlwa.2025.100680
2025 | Research output : Contribution to journal › Paper › peer-review
The Role of AI in Driving Customer Engagement Through Technological, Organizational and Environmental Enablers in E-Commerce
Khan, T., Emon, M.M.H., Rahman, K.M., Nipa, M.N. and Fuad, M.N., 2025. The Role of AI in Driving Customer Engagement Through Technological, Organizational and Environmental Enablers in E-Commerce. In: 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN). IEEE.
2025 | Research output : Contribution to conference › Paper › peer-review
The Role of AI in Driving Customer Engagement Through Technological, Organizational and Environmental Enablers in E-Commerce
Tahsina Khan; Md Mehedi Hasan Emon; Kh. Mustafizur Rahman; Meherun Nisa Nipa; Md. Nafis Fuad: The Role of AI in Driving Customer Engagement Through Technological, Organizational and Environmental Enablers in E-Commerce
2025 | Research output : Contribution to journal › Paper › peer-review
Mst. Nishita Aktar; Md. Nazmus Sakib; Afzal Hossain; Ahsan Ullah; Kazi Hassan Robin; Kh. Mustafizur Rahman; Md Tuhin Reza; Ali Ameen; Md Refat Hossain; Debashis Kundu. Enhancing False Positive Alert Detection in Security Information and Event Management System Using Recurrent Neural Network. Proceedings of the 2024 27th International Conference on Computer and Information Technology (ICCIT).
2024 | Research output : Contribution to conference › Paper › peer-review
Md. Nazmus Sakib; Afzal Hossain; Ahsan Ullah; Mst. Nishita Aktar; Noshin Un Noor; Kh. Mustafizur Rahman; Shamsun Nahar. Securing Critical Infrastructure: A Robust DNP3 Intrusion Detection System Employing Recurrent Neural Networks. Preceding of the 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS)
2024 | Research output : Contribution to conference › Paper › peer-review
Microstrip Patch Antenna for Single Resonant Frequency Using Various Types of Slots, 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Date of Conference: 19-21 July 2023, Date Added to IEEE Xplore: 22 September 2023
2023 | Research output : Contribution to journal › Article › peer-review
Md Amirul Islam, Giovanni Stea, Sultan Mahmud, Kh. Mustafizur Rahman COVID-19 Cases Detection from Chest X-Ray Images using CNN based Deep Learning Model. International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 5, 2022.
2022 | Research output : Contribution to journal › Article › peer-review
Implementation of Android Based Text to Image Steganography Using 512-Bit Algorithm with LSB Technique. Nazmun Nahar, Md. Kawsher Ahmed, Tareq Miah, Shahriar Alam, Kh. Mustafizur Rahman, Md. Anayt Rabbi.  2021 5th International Conference on Electrical Information and Communication Technology (EICT)
2021 | Research output : Contribution to conference › Article › peer-review
StrokeXNet: A Novel CNN–Transformer Fusion with Interpretable Attention for Robust Brain MRI Stroke Detection
Noor, N.U., Hossain, M.A., Sarkar, M.S., Nishat, F.Z., Nahar, S. and Rahman, K.M., 2025. StrokeXNet: A Novel CNN–Transformer Fusion with Interpretable Attention for Robust Brain MRI Stroke Detection. In: 2025 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON). IEEE.
08 May 2026 | Research output : Contribution to conference › Paper › peer-review
Y. A. Joarder, Kh. Mustafizur Rahman and Fabiha Faiz Mahi (2020) Uplifted Tissue Characterization and Classification of Fatty Liver Disease from Ultrasound Images. Advancement in Image Processing and Pattern Recognition, 3(3), pp. 1–13.
Undated | Research output : Contribution to journal
Y. A. Joarder, Kh. Mustafizur Rahman and Ahsan Ullah (2019) A Hybrid Partitioning Algorithm for Robust Big Data Clustering and Analysis. Journal of Network Security and Data Mining, 2(3), pp. 1–16.
Undated | Research output : Contribution to journal
Mohammad Anwar Hossain
Lecturer
Feature Selection-Based Multi-Layered Ransomware Detection Approach Using Ensemble Machine Learning
Un Noor, N., Hasan, H.M.A., Hossain, M.A., Ullah, A., Naeem, J., Rahman, K.M. and Emee, A.F., 2026. Feature Selection-Based Multi-Layered Ransomware Detection Approach Using Ensemble Machine Learning. In: 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Chittagong, Bangladesh, 16–18 April 2026.
2026 | Research output : Contribution to conference › Article › peer-review
Inter-Arrival Time Driven Intrusion Detection for DoS Traffic in Cloud Networks Using SMOTE-Enhanced Deep Learning Optimization
Hossain, M.A., Hasan, H.M.A., Noor, N.U., Ullah, A., Naeem, J., Sarkar, M.S. and Rahman, K.M., 2026. Inter-Arrival Time Driven Intrusion Detection for DoS Traffic in Cloud Networks Using SMOTE-Enhanced Deep Learning Optimization. In: 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Chittagong, Bangladesh, 16–18 April 2026.
2026 | Research output : Contribution to conference › Article › peer-review
A Comparative Study of Bangla Social Media Cyberbullying Detection Integrating Machine Learning and Blockchain Technology
Sakib, M.N., Naeem, J., Aktar, M.N., Hossain, A., Noor, N.U., Rahman, K.M., Ullah, A. and Hossain, M.A., 2026. A Comparative Study of Bangla Social Media Cyberbullying Detection Integrating Machine Learning and Blockchain Technology. In: International Conference on Electrical, Computer and Communication Technologies (ECCT 2026).
2026 | Research output : Contribution to chapter › Article › peer-review
Enhancing Drinking Water Quality Assessment: An Exploration of Elemental Composition for Drinkable Water. 
Hassan, M.M., Noor, N.U., Hossain, M.A., Sarkar, M.S., Siddika, A. and Ghosh, S.K. (2025) Enhancing drinking water quality assessment: An exploration of elemental composition for drinkable water. 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, pp. 1-6. doi:10.1109/ECCE64574.2025.11013463.
2025 | Research output : Contribution to conference › Article › peer-review
Advancement in Neuroimaging: Automated Identification of Brain Stroke through Machine Learning
Noor, N.U., Hossain, M.A., Hassan, M.M., Nahar, S., Sarkar, M.S. and Lifat, M.A.S. (2025) ‘Advancement in neuroimaging: Automated identification of brain stroke through machine learning’, International Conference on Advancement in Healthcare Technology and Biomedical Engineering, Vancouver, Canada(Accepted and Presented, Waiting for publication)
2025 | Research output : Contribution to conference › Chapter › peer-review
Adversarial Robust Fraud Detection for Mobile Financial Transactions in Bangladesh: A Comparative Study
Hossain, M.A., Sadi, R.U., Noor, N.U., Hasanuzzaman, M., Sutradhar, A. and Sakib, M.N., 2025. Adversarial Robust Fraud Detection for Mobile Financial Transactions in Bangladesh: A Comparative Study. In: Proceedings of the 4th IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things.
2025 | Research output : Contribution to conference › Article › peer-review
StrokeXNet: A Novel CNN–Transformer Fusion with Interpretable Attention for Robust Brain MRI Stroke Detection
Noor, N.U., Hossain, M.A., Sarkar, M.S., Nishat, F.Z., Nahar, S. and Rahman, K.M., 2025. StrokeXNet: A Novel CNN–Transformer Fusion with Interpretable Attention for Robust Brain MRI Stroke Detection. In: Proceedings of the IEEE Conference on Biomedical Engineering, Computer and Information Technology for Health 2025.
2025 | Research output : Contribution to conference › Article › peer-review
A Resilient Deep Learning Based Model for Automated Detection of Cardiovascular Abnormalities in ECG Images with Grad-CAM XAI
Sarkar, M.S., Rahman, K.M., Noor, N.U., Hossain, M.A., Karim, R. and Rifat, H.H., 2025. StrokeXNet: A Resilient Deep Learning Based Model for Automated Detection of Cardiovascular Abnormalities in ECG Images with Grad-CAM XAI. In: Proceedings of the IEEE Conference on Biomedical Engineering, Computer and Information Technology for Health 2025. IEEE.
2025 | Research output : Contribution to conference › Article › peer-review
A Decentralized Blockchain-based Voting System: Ensuring Security, Transparency, and Trust Using Ethereum
Hossain, M.A., Ullah, A., Noor, N.U., Joy, R.M.S.H., Shipon, S.H., Aktar, M.N. and Sakib, M.N., 2025. StrokeXNet: A Decentralized Blockchain-based Voting System: Ensuring Security, Transparency, and Trust Using Ethereum. In: Proceedings of the 28th International Conference on Computer and Information Technology.IEEE.
2025 | Research output : Contribution to conference › Article › peer-review
BDNN based Enhanced Hybrid Ensemble Framework for Robust Phishing Detection and Secure Real-Time Deployment
Ullah, A., Jabir, A., Sultana, A., Hossain, M.A., Noor, N.U. and Rahman, K.M., 2025. BDNN based Enhanced Hybrid Ensemble Framework for Robust Phishing Detection and Secure Real-Time Deployment. In: Proceedings of the 28th International Conference on Computer and Information Technology.IEEE
2025 | Research output : Contribution to conference › Article › peer-review
A Hybrid CNN-Transformer Framework for Automated Stroke Detection in Brain CT with Grad-CAM
Noor, N.U., Hossain, M.A., Nishat, F.Z., Sarkar, M.S., Afrin, S. and Rahman, K.M., 2025. BA Hybrid CNN-Transformer Framework for Automated Stroke Detection in Brain CT with Grad-CAM. In: Proceedings of the 28th International Conference on Computer and Information Technology.IEEE
2025 | Research output : Contribution to conference › Article › peer-review
Enhanced Malaria Diagnosis via Hybrid CNN-Transformer Ensemble Learning: A Step Towards Automated Health Systems
Ullah, A., Uddin, S.M.Z., Rudro, S., Khan, N.I., Noor, N.U. and Hossain, M.A., 2025. Enhanced Malaria Diagnosis via Hybrid CNN-Transformer Ensemble Learning: A Step Towards Automated Health Systems. In: Proceedings of the 28th International Conference on Computer and Information Technology.IEEE
2025 | Research output : Contribution to conference › Article › peer-review
Adversarial Training for Fraud Detection in Mobile Finance in Bangladesh: A Hybrid Approach Using Machine Learning
Hossain, M.A., Noor, N.U., Rahman, K.M., Nahar, S., Sakib, M.N. and Ullah, A., 2025. Adversarial Training for Fraud Detection in Mobile Finance in Bangladesh: A Hybrid Approach Using Machine Learning. In: Proceedings of the IEEE International Conference on Power, Electrical, Electronics and Industrial Applications 2025. IEEE.
2025 | Research output : Contribution to conference › Article › peer-review
Real-Time Gas Leakage Detection and Automated Mitigation Using a Multi-Sensor IoT Architecture With Alert Logic
Noor, N.U., Hossain, M.A., Sarkar, M.S., Islam, M.M., Shishir, M.S.H. and Rahman, K.M., 2025. Real-Time Gas Leakage Detection and Automated Mitigation Using a Multi-Sensor IoT Architecture With Alert Logic. In: Proceedings of the IEEE International Conference on Power, Electrical, Electronics and Industrial Applications 2025. IEEE.
2025 | Research output : Contribution to conference › Article › peer-review
Smart Livestock Guardian: Internet of Things Driven Real-Time Health and Location Analytics
Hossain, M., Noor, N., Nahar, S., Islam, M., Shishir, M., Paul, A., Hossain, T., Ullah, A., Chakraborty, A. and Hossain, M. (2025) ‘Smart livestock guardian: Internet of things-driven real-time health and location analytics’, Advances in Internet of Things, 15, pp. 61–86. doi: 10.4236/ait.2025.153004
2025 | Research output : Contribution to journal › Article › peer-review
Comparative Analysis of Deep Learning Techniques for Rice Leaf Disease Detection: Object Detection and YOLO Model Evaluation 
Rahman Roni, M.H., Adham Aomy, M.I., Nahar, S., Noor, N.U. & Hossain, M.A., 2025. Comparative analysis of deep learning techniques for rice leaf disease detection: Object detection and YOLO model evaluation. 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, pp.1–6. doi:10.1109/ECCE64574.2025.11012997.
2025 | Research output : Contribution to conference › Article › peer-review
Balanced Deep Neural Network (BDNN) for Scalable, Real-Time Phishing URL Detection Using Hybrid Machine Learning and Deep Learning Ensembles
Ullah, A., Hasan, H.M.A., Hossain, M.A., Noor, N.U. and Aktar, M.N., 2025. Balanced Deep Neural Network (BDNN) for Scalable, Real-Time Phishing URL Detection Using Hybrid Machine Learning and Deep Learning Ensembles. In: Proceedings of the International Conference on Signal Processing, Information, Communication and Systems 2025.
2025 | Research output : Contribution to conference › Article › peer-review
IoT-Enabled Hysteresis Control System for Enhanced Photovoltaic Panel Performance in Rural Solar Applications
Hossain, M.A., Noor, N.U., Hassan, M.M., Ullah, A., Nahar, S., Islam, M.M. and Yasmin, M.M. (2025) ‘IoT-enabled hysteresis control system for enhanced photovoltaic panel performance in rural solar applications’, 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Rangpur, Bangladesh, 2025, pp. 1-6, doi: 10.1109/QPAIN66474.2025.11172215.
2025 | Research output : Contribution to conference › Article › peer-review
Crop health analysis system: Integrating machine learning for disease detection in agricultural images
Hossain, M.A., Khan, N.I., Noor, N.U., Rabby, F., Rahman, A. and Shill, H.C. (2025) ‘Crop health analysis system: Integrating machine learning for disease detection in agricultural images’, International Journal of Computer and Artificial Intelligence, 6(1), pp.?123–132. doi: 10.33545/27076571.2025.v6.i1b.141.
2025 | Research output : Contribution to journal › Article › peer-review
Advanced Skin Disease Diagnosis and Treatment: Leveraging Convolutional Neural Networks for Image-Based Prediction and Comprehensive Health Assistance
Noor, N., Hossain, M., Hossain, M., Hasan, M., Amin, M., Nahar, S., Ullah, A. and Hassan, M., 2025. Advanced skin disease diagnosis and treatment: Leveraging convolutional neural networks for image-based prediction and comprehensive health assistance. Open Journal of Medical Imaging, 15, pp.1?29. https://doi.org/10.4236/ojmi.2025.151001
2025 | Research output : Contribution to journal › Article › peer-review
Enhanced Multi-Sensor IoT Architecture for Real-Time Gas Leakage Detection, Automated Mitigation, and SMS Alerts
Noor, N.U., Hossain, M.A., Islam, M.M., Shishir, M.S.H., Sarkar, M.S. and Rahman, K.M., 2025. Enhanced Multi-Sensor IoT Architecture for Real-Time Gas Leakage Detection, Automated Mitigation, and SMS Alerts. In: Proceedings of the 4th IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things.
2025 | Research output : Contribution to conference › Article › peer-review
 Enhancing Video Steganography Techniques Using Hybrid Algorithms
Hossain, M.A., Noor, N.U., Ullah, A., Noman, M.S.H., Pranta, S.D., Bristy, L.M. and Bashar, M.M. (2024) ‘Enhancing video steganography techniques using hybrid algorithms’, Open Access Library Journal, 11, pp.?1–21. doi: 10.4236/oalib.1111489
2024 | Research output : Contribution to journal › Article › peer-review
A comparative study on Vulnerabilities, Challenges, and Security measures in Wireless Network Security
Ullah, A., Sakib, M.N., Rahman, M.H., Shahin, M.S.K., Hossain, F. and Hossain, M.A., 2024. A comparative study on vulnerabilities, challenges, and security measures in wireless network security. In: A. Abraham, S. Pllana, T. Hanne and P. Siarry, eds. Intelligent Systems Design and Applications. ISDA 2023. Lecture Notes in Networks and Systems, vol. 1048. Cham: Springer. https://doi.org/10.1007/978-3-031-64650-8_28
2024 | Research output : Contribution to conference › Chapter › peer-review
Secure Inter-VLAN routing in multi branches office network
Hossain, M.A., Miah, H., Ahmed, R. and Anower, S. (2023) ‘Secure Inter-VLAN routing in multi branches office network’, International Journal of Communication and Information Technology, 4(2), pp.?1–11. doi: 10.33545/2707661X.2023.v4.i2a.65.
2023 | Research output : Contribution to journal › Article › peer-review
Comprehensive architectural network design based on intrusion detection system
Hossain, M.A., Hossain, M.S. and Karim, R. (2023) ‘Comprehensive architectural network design based on intrusion detection system’, International Journal of Communication and Information Technology, 4(2), pp.?12–19. doi: 10.33545/2707661X.2023.v4.i2a.66.
2023 | Research output : Contribution to journal › Article › peer-review
 Design and implementation of GPS controlled environment monitoring system based on internet of things.
Hossain, M.A., Noor, N.U., Yeasmin, A., Ritu, M.J.C. and Sarker, S., 2023. Design and implementation of GPS controlled environment monitoring system based on internet of things. International Journal of Circuit, Computing and Networking, 4(2), pp.21?30. https://doi.org/10.33545/27075923.2023.v4.i2a.59
2023 | Research output : Contribution to journal › Article › peer-review
Design and development of a novel symmetric algorithm for enhancing information security
Hossain, M.A., Ullah, A., Hossain, M.S., Begum, S. and Ibrahim, M., 2021. Design and development of a novel symmetric algorithm for enhancing information security. International Journal of Communication and Information Technology, 2(1), pp.49?60. https://doi.org/10.33545/2707661X.2021.v2.i1a.40
2020 | Research output : Contribution to journal › Article › peer-review
Enhanced Women Safety and Well-Suited Public Bus Management System in Bangladesh Using IoT
Ullah, A., Hossain, M., Zaman, N., Dey, M. and Kundu, T. (2019) ‘Enhanced Women Safety and Well-Suited Public Bus Management System in Bangladesh Using IoT’, Advances in Internet of Things, 9, pp. 72–84. doi:10.4236/ait.2019.94006
2019 | Research output : Contribution to journal › Article › peer-review
Design and Development of a Novel Symmetric Algorithm for Enhancing Data Security in Cloud Computing
Hossain, M.A., Ullah, A., Khan, N.I. and Alam, M.F., 2019. Design and development of a novel symmetric algorithm for enhancing data security in cloud computing. Journal of Information Security, 10, pp.199?236. https://doi.org/10.4236/jis.2019.104012
2019 | Research output : Contribution to journal › Article › peer-review
Fariha Zaman Nishat
Lecturer
A hybrid CNNTransformer framework for automated stroke detection in brain CT with Grad-CAM
2026 | Research output : Contribution to conference › Paper › peer-review
Comparing deep learning frameworks for air quality index (AQI) prediction in Bangladesh: Static vs. year-wise forecasting evaluation
2026 | Research output : Contribution to conference › Paper › peer-review
StrokeXNet: A novel CNN–transformer fusion with interpretable attention for robust brain MRI stroke detection
2026 | Research output : Contribution to conference › Paper › peer-review
Flood severity classification in Bangladesh: a comprehensive analysis of historical weather and water level data using machine learning approaches
Nishat, F.Z., Nahar, N., Joti, F.I., et al., 2025. Flood severity classification in Bangladesh: a comprehensive analysis of historical weather and water level data using machine learning approaches. Natural Hazards, 121, pp.10195–10224. Available at: https://doi.org/10.1007/s11069-025-07202-6.
2025 | Research output : Contribution to journal › Article › peer-review
Noshin Un Noor
Lecturer
Inter-Arrival Time Driven Intrusion Detection for DoS Traffic in Cloud Networks Using SMOTE-Enhanced Deep Learning Optimization
Hossain, M.A., Hasan, H.M.A., Noor, N.U., Ullah, A., Naeem, J., Sarkar, M.S. and Rahman, K.M., 2026. Inter-Arrival Time Driven Intrusion Detection for DoS Traffic in Cloud Networks Using SMOTE-Enhanced Deep Learning Optimization. In: 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Chittagong, Bangladesh, 16–18 April 2026.
2026 | Research output : Contribution to conference › Article › peer-review
A Comparative Study of Bangla Social Media Cyberbullying Detection Integrating Machine Learning and Blockchain Technology
Sakib, M.N., Naeem, J., Aktar, M.N., Hossain, A., Noor, N.U., Rahman, K.M., Ullah, A. and Hossain, M.A., 2026. A Comparative Study of Bangla Social Media Cyberbullying Detection Integrating Machine Learning and Blockchain Technology. In: International Conference on Electrical, Computer and Communication Technologies (ECCT 2026).
2026 | Research output : Contribution to chapter › Article › peer-review
Feature Selection-Based Multi-Layered Ransomware Detection Approach Using Ensemble Machine Learning
Un Noor, N., Hasan, H.M.A., Hossain, M.A., Ullah, A., Naeem, J., Rahman, K.M. and Emee, A.F., 2026. Feature Selection-Based Multi-Layered Ransomware Detection Approach Using Ensemble Machine Learning. In: 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Chittagong, Bangladesh, 16–18 April 2026.
2026 | Research output : Contribution to conference › Article › peer-review
Real-Time Gas Leakage Detection and Automated Mitigation Using a Multi-Sensor IoT Architecture With Alert Logic
Noor, N.U., Hossain, M.A., Sarkar, M.S., Islam, M.M., Shishir, M.S.H. and Rahman, K.M., 2025. Real-Time Gas Leakage Detection and Automated Mitigation Using a Multi-Sensor IoT Architecture With Alert Logic. In: Proceedings of the IEEE International Conference on Power, Electrical, Electronics and Industrial Applications 2025. IEEE.
2025 | Research output : Contribution to conference › Article › peer-review
A Resilient Deep Learning Based Model for Automated Detection of Cardiovascular Abnormalities in ECG Images with Grad-CAM XAI
Sarkar, M.S., Rahman, K.M., Noor, N.U., Hossain, M.A., Karim, R. and Rifat, H.H., 2025. StrokeXNet: A Resilient Deep Learning Based Model for Automated Detection of Cardiovascular Abnormalities in ECG Images with Grad-CAM XAI. In: Proceedings of the IEEE Conference on Biomedical Engineering, Computer and Information Technology for Health 2025. IEEE.
2025 | Research output : Contribution to conference › Article › peer-review
Enhanced Malaria Diagnosis via Hybrid CNN-Transformer Ensemble Learning: A Step Towards Automated Health Systems
Ullah, A., Uddin, S.M.Z., Rudro, S., Khan, N.I., Noor, N.U. and Hossain, M.A., 2025. Enhanced Malaria Diagnosis via Hybrid CNN-Transformer Ensemble Learning: A Step Towards Automated Health Systems. In: Proceedings of the 28th International Conference on Computer and Information Technology.IEEE
2025 | Research output : Contribution to conference › Article › peer-review
Balanced Deep Neural Network (BDNN) for Scalable, Real-Time Phishing URL Detection Using Hybrid Machine Learning and Deep Learning Ensembles
Ullah, A., Hasan, H.M.A., Hossain, M.A., Noor, N.U. and Aktar, M.N., 2025. Balanced Deep Neural Network (BDNN) for Scalable, Real-Time Phishing URL Detection Using Hybrid Machine Learning and Deep Learning Ensembles. In: Proceedings of the International Conference on Signal Processing, Information, Communication and Systems 2025.
2025 | Research output : Contribution to conference › Article › peer-review
Enhanced Multi-Sensor IoT Architecture for Real-Time Gas Leakage Detection, Automated Mitigation, and SMS Alerts
Noor, N.U., Hossain, M.A., Islam, M.M., Shishir, M.S.H., Sarkar, M.S. and Rahman, K.M., 2025. Enhanced Multi-Sensor IoT Architecture for Real-Time Gas Leakage Detection, Automated Mitigation, and SMS Alerts. In: Proceedings of the 4th IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things.
2025 | Research output : Contribution to conference › Article › peer-review
Adversarial Robust Fraud Detection for Mobile Financial Transactions in Bangladesh: A Comparative Study
Hossain, M.A., Sadi, R.U., Noor, N.U., Hasanuzzaman, M., Sutradhar, A. and Sakib, M.N., 2025. Adversarial Robust Fraud Detection for Mobile Financial Transactions in Bangladesh: A Comparative Study. In: Proceedings of the 4th IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things.
2025 | Research output : Contribution to conference › Article › peer-review
StrokeXNet: A Novel CNN–Transformer Fusion with Interpretable Attention for Robust Brain MRI Stroke Detection
Noor, N.U., Hossain, M.A., Sarkar, M.S., Nishat, F.Z., Nahar, S. and Rahman, K.M., 2025. StrokeXNet: A Novel CNN–Transformer Fusion with Interpretable Attention for Robust Brain MRI Stroke Detection. In: Proceedings of the IEEE Conference on Biomedical Engineering, Computer and Information Technology for Health 2025.
2025 | Research output : Contribution to conference › Article › peer-review
A Decentralized Blockchain-based Voting System: Ensuring Security, Transparency, and Trust Using Ethereum
Hossain, M.A., Ullah, A., Noor, N.U., Joy, R.M.S.H., Shipon, S.H., Aktar, M.N. and Sakib, M.N., 2025. StrokeXNet: A Decentralized Blockchain-based Voting System: Ensuring Security, Transparency, and Trust Using Ethereum. In: Proceedings of the 28th International Conference on Computer and Information Technology.IEEE.
2025 | Research output : Contribution to conference › Article › peer-review
BDNN based Enhanced Hybrid Ensemble Framework for Robust Phishing Detection and Secure Real-Time Deployment
Ullah, A., Jabir, A., Sultana, A., Hossain, M.A., Noor, N.U. and Rahman, K.M., 2025. BDNN based Enhanced Hybrid Ensemble Framework for Robust Phishing Detection and Secure Real-Time Deployment. In: Proceedings of the 28th International Conference on Computer and Information Technology.IEEE
2025 | Research output : Contribution to conference › Article › peer-review
A Hybrid CNN-Transformer Framework for Automated Stroke Detection in Brain CT with Grad-CAM
Noor, N.U., Hossain, M.A., Nishat, F.Z., Sarkar, M.S., Afrin, S. and Rahman, K.M., 2025. BA Hybrid CNN-Transformer Framework for Automated Stroke Detection in Brain CT with Grad-CAM. In: Proceedings of the 28th International Conference on Computer and Information Technology.IEEE
2025 | Research output : Contribution to conference › Article › peer-review
 Advanced Skin Disease Diagnosis and Treatment: Leveraging Convolutional Neural Networks for Image-Based Prediction and Comprehensive Health Assistance
Noor, N., Hossain, M., Hossain, M., Hasan, M., Amin, M., Nahar, S., Ullah, A. and Hassan, M. (2025) ‘Advanced skin disease diagnosis and treatment: Leveraging convolutional neural networks for image-based prediction and comprehensive health assistance’, Open Journal of Medical Imaging, 15, pp.?1–29. doi: 10.4236/ojmi.2025.151001
2025 | Research output : Contribution to journal › Article › peer-review
Crop health analysis system: Integrating machine learning for disease detection in agricultural images
Hossain, M.A., Khan, N.I., Noor, N.U., Rabby, F., Rahman, A. and Shill, H.C. (2025) ‘Crop health analysis system: Integrating machine learning for disease detection in agricultural images’, International Journal of Computer and Artificial Intelligence, 6(1), pp.?123–132. doi: 10.33545/27076571.2025.v6.i1b.141
2025 | Research output : Contribution to journal › Article › peer-review
CNN-Based crop disease and pest detection systems: Enhancing accuracy and efficiency in agricultural sustainability
Noor, N.U. and Solaiman, F. (2025) ‘CNN-based crop disease and pest detection systems: Enhancing accuracy and efficiency in agricultural sustainability’, Journal of Bangladesh Academy of Sciences, 49(1), pp.?73–85. doi: 10.3329/jbas.v49i1.78209
2025 | Research output : Contribution to journal › Article › peer-review
Advancement in Neuroimaging: Automated Identification of Brain Stroke through Machine Learning
Noor, N.U., Hossain, M.A., Hassan, M.M., Nahar, S., Sarkar, M.S. and Lifat, M.A.S. (2025) ‘Advancement in neuroimaging: Automated identification of brain stroke through machine learning’, International Conference on Advancement in Healthcare Technology and Biomedical Engineering, Vancouver, Canada(Accepted and Presented, Waiting for publication)
2025 | Research output : Contribution to conference › Chapter › peer-review
IoT-Enabled Hysteresis Control System for Enhanced Photovoltaic Panel Performance in Rural Solar Applications
Hossain, M.A., Noor, N.U., Hassan, M.M., Ullah, A., Nahar, S., Islam, M.M. and Yasmin, M.M. (2025) ‘IoT-enabled hysteresis control system for enhanced photovoltaic panel performance in rural solar applications’, IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN 2025)
2025 | Research output : Contribution to journal › Article › peer-review
Smart Livestock Guardian: Internet of Things Driven Real-Time Health and Location Analytics
Hossain, M. , Noor, N. , Nahar, S. , Islam, M. , Shishir, M. , Paul, A. , Hossain, T. , Ullah, A. , Chakraborty, A. and Hossain, M. (2025) Smart Livestock Guardian: Internet of Things-Driven Real-Time Health and Location Analytics. Advances in Internet of Things, 15, 61-86. doi: 10.4236/ait.2025.153004
2025 | Research output : Contribution to journal › Article › peer-review
Comparative Analysis of Deep Learning Techniques for Rice Leaf Disease Detection: Object Detection and YOLO Model Evaluation
Rahman Roni, M.H., Adham Aomy, M.I., Nahar, S., Noor, N.U. and Hossain, M.A. (2025) ‘Comparative analysis of deep learning techniques for rice leaf disease detection: Object detection and YOLO model evaluation’, 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, pp.?1–6. doi: 10.1109/ECCE64574.2025.11012997
2025 | Research output : Contribution to conference › Article › peer-review
Enhancing Drinking Water Quality Assessment: An Exploration of Elemental Composition for Drinkable Water
Hassan, M.M., Noor, N.U., Hossain, M.A., Sarkar, M.S., Siddika, A. and Ghosh, S.K. (2025) ‘Enhancing drinking water quality assessment: An exploration of elemental composition for drinkable water’, 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, pp.?1–6. doi: 10.1109/ECCE64574.2025.11013463
2025 | Research output : Contribution to conference › Article › peer-review
Adversarial Training for Fraud Detection in Mobile Finance in Bangladesh: A Hybrid Approach Using Machine Learning
Hossain, M.A., Noor, N.U., Rahman, K.M., Nahar, S., Sakib, M.N. and Ullah, A., 2025. Adversarial Training for Fraud Detection in Mobile Finance in Bangladesh: A Hybrid Approach Using Machine Learning. In: Proceedings of the IEEE International Conference on Power, Electrical, Electronics and Industrial Applications 2025. IEEE.
2025 | Research output : Contribution to conference › Article › peer-review
Securing Critical Infrastructure: A Robust DNP3 Intrusion Detection System Employing Recurrent Neural Networks
Sakib, M.N., Hossain, A., Ullah, A., Aktar, M.N., Noor, N.U., and Nahar, S. (2024) ‘Securing critical infrastructure: A robust DNP3 intrusion detection system employing recurrent neural networks’, 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS), Cox’s Bazar, Bangladesh, pp.?1–5. doi: 10.1109/COMPAS60761.2024.10797009
2024 | Research output : Contribution to conference › Article › peer-review
Enhancing Video Steganography Techniques Using Hybrid Algorithms.
Hossain, M.A., Noor, N.U., Ullah, A., Noman, M.S.H., Pranta, S.D., Bristy, L.M. and Bashar, M.M. (2024) ‘Enhancing video steganography techniques using hybrid algorithms’, Open Access Library Journal, 11, pp.?1–21. doi: 10.4236/oalib.1111489.
2024 | Research output : Contribution to journal › Article › peer-review
AES based security scheme to remove man-in-the middle attack in online banking
Noor, N.U., Tumpa, F., Arifeen, M.M., Hasan, S.R., Hossain, D.A. and Reza, S.M.S. (2023) ‘AES based security scheme to remove man-in-the-middle attack in online banking’, International Journal of Research in Engineering, 5(1), pp.?13–17. doi: 10.33545/26648776.2023.v5.i1a.46
2023 | Research output : Contribution to journal › Article › peer-review
Design and implementation of GPS controlled environment monitoring system based on internet of things
Hossain, M.A., Noor, N.U., Yeasmin, A., Chowdhury Ritu, M.J. and Sarker, S. (2023) ‘Design and implementation of GPS controlled environment monitoring system based on internet of things’, International Journal of Circuit, Computing and Networking, 4(2), pp.?21–30. doi: 10.33545/27075923.2023.v4.i2a.59.
2023 | Research output : Contribution to journal › Article › peer-review
Mst. Nishita Aktar
Lecturer
Most. Mazriha Akter Mohua; Ali Ameen; Abdu Saif; Nishita Aktar; Md.Nazmus Sakib "A Novel Remote Desktop Protocol Data Security Approach Using Hybrid Cryptographic Algorithm and Unsupervised Neural Network" 2025 4th International Conference on Computing and Information Technology (ICCIT
2025 | Research output : Contribution to conference › Paper › peer-review
Ahsan Ullah, Md. Inzamul Haque, Md. Mokarom Hossain, Md. Sadman Ahammad, Mst. Nishita Aktar ," A Novel LSB Steganography Technique for Enhancing Cloud Security"-Journal of Information Security, Vol.15 No.3, July 2024
2024 | Research output : Contribution to journal › Paper › peer-review
Mst. Nishita Aktar; Md. Nazmus Sakib; Afzal Hossain; Ahsan Ullah; Kazi Hassan Robin; Kh. Mustafizur Rahman; Md Tuhin Reza;Ali Ameen;Md Refat Hossain; Debashis Kundu: "Enhancing False Positive Alert Detection in Security Information and Event Management System Using Recurrent Neural Network" -27th International Conference on Computer and Information Technology (ICCIT 2024), Cox’s Bazar
2024 | Research output : Contribution to conference › Paper › peer-review
Mst. Nishita Aktar, Sornali Akter, Md. Nusaim Islam Saad, Jakir Hosen Jisun, Kh. Mustafizur Rahman, Md. Nazmus Sakib A study on watering hole attack recognition  “International Conference on Cognitive Computing and Artificial Intelligence (ICCCAI-2024) in association with Taylor's University, Malaysia"
Undated | Research output : Contribution to conference › Article › peer-review
Anayt Rabbi, Mohammad Samiul Islam, Anjuman Luna, Mohammad Mobarak Hossain, Mst. NishitaAktar, Shamsun Nahar, Nadira Islam, Faizul Huq Arif . Quality of Service (qos) of A Zigbee Network Through Device Priority with Packet Distribution Technique. International Journal of Advanced Science and Technology Vol. 29, No.02, (2020), pp. 1313-1321
Undated | Research output : Contribution to conference
Mohammad Sayeedur Rahman, Busrat Jahan, Md. Al-Amin Nipu, Shamsun Nahar, Mst. Nishita Aktar, Nadira Islam, Mohammad Mobarak Hossain, Md. Faizul Huq Arif, 2019. An Analysis of Smart-Phone Industry in Bangladesh Using Porter’s Five Forces Model. Open Access Library Journal, Volume 6, e5730
Undated | Research output : Contribution to journal
Debashis Kundu,Md. Mushfiqur RahmanMd.Nazmus Sakib,Mst. Nishita Aktar A novel approach incorporating feature extraction followed by YOLOv7 for quality enhancement of mangoes in Bangladesh July 2023,14th International Conference on Computing, Communication and Networking Technologies (ICCCNT) 
Undated | Research output : Contribution to conference
Md. Nazmus Sakib; Afzal Hossain; Ahsan Ullah; Mst. Nishita Aktar; Noshin Un Noor; Kh. Mustafizur Rahman , Securing Critical Infrastructure: A Robust DNP3 Intrusion Detection System Employing Recurrent Neural Networks "2024 IEEE International Conference on Computing, Applications and Systems (COMPAS)"
Undated | Research output : Contribution to conference › Article › peer-review
Md.Nazmus Sakib1 , Mst.Nishita Aktar2 , Afzal Hossain3 and Ahsan Ullah4 , Kh.Mustafizur Rahman5 , Shamsun Nahar6 , Jannatul Ferdous Mirza7 , and Md. Mahmud Khan8 "Real-Time Unconscious Human Behavior Detection Incorporating Enhanced CSPDarknet53 and YOLOv9 " ICAMS 2025: 2nd International Conference on Artificial Intelligence, Machine Learning & Intelligent Systems
Undated | Research output : Contribution to conference › Paper › peer-review
Md. Raihanul Haque
Lecturer
Comparative Deep Learning and Explainable AI Approaches for Automated Detection of Arsenic Skin Lesions
Antor, M.S.U.M., Podder, N.K., Aman, N., Haque, M.R., Arjon, S.S. and Yasmin, T., 2025. Comparative deep learning and explainable AI approaches for automated detection of arsenic skin lesions. In: 2025 IEEE 2nd International Conference on Computing, Applications and Systems (COMPAS), Kushtia, Bangladesh, 23–24 October 2025. Piscataway, NJ: IEEE. https://doi.org/10.1109/COMPAS67506.2025.11381857
2026 | Research output : Contribution to conference › Article › peer-review
A Novel Hybrid Deep Learning Model for Alzheimer’s Disease Stage Classification Using MRI
Arjon, S.S., Yasmin, T., Mondol, A.K., Haque, M.R., Uddin, M.R. and Aman, N., 2025. A novel hybrid deep learning model for Alzheimer’s disease stage classification using MRI. In: 2025 IEEE 2nd International Conference on Computing, Applications and Systems (COMPAS), Kushtia, Bangladesh, 23–24 October 2025. Piscataway, NJ: IEEE. https://doi.org/10.1109/COMPAS67506.2025.11381658
2026 | Research output : Contribution to conference › Article › peer-review
Bangla Speech Emotion Recognition Using 3D-CNN: A Multi-corpus and Cross-Lingual Study
Islam, M.H., Podder, N.K., Sakib, M.N., Mondol, A.K., Haque, M.R. and Chaity, M., 2025. Bangla Speech Emotion Recognition Using 3D-CNN: A Multi-corpus and Cross-Lingual Study. In International Conference on Data Science, AI and Applications (pp. 471-485). Springer, Cham.
2026 | Research output : Contribution to chapter › Chapter › peer-review
Network-Based Approaches and Gene Expression Profiling to Identify the Molecular Mechanism of Stomach Cancer
Mia, M.N., Podder, N.K., Zim, S.M., Haque, M.R. and Ghosh, R., 2025. Network-Based Approaches and Gene Expression Profiling to Identify the Molecular Mechanism of Stomach Cancer. In International Conference on Data Science, AI and Applications (pp. 1-14). Springer, Cham.
2026 | Research output : Contribution to chapter › Chapter › peer-review
Comparative Analysis of Classification and Regression Models for Schizophrenia Risk Prediction
Hossain, S.M., Podder, N.K., Haque, M.R. and Asma, T.R., 2025. Comparative Analysis of Classification and Regression Models for Schizophrenia Risk Prediction. In International Conference on Data Science, AI and Applications (pp. 27-41). Springer, Cham.
2026 | Research output : Contribution to chapter › Chapter › peer-review
A Review for Bridging Clinical and Technical Gaps with Hybrid-ML in Schizophrenia Diagnosis
Hossain, S.M., Podder, N.K., Haque, M.R. and Asma, T.R., 2025. A Review for Bridging Clinical and Technical Gaps with Hybrid-ML in Schizophrenia Diagnosis. In International Conference on Data Science, AI and Applications (pp. 42-55). Springer, Cham.
2026 | Research output : Contribution to chapter › Chapter › peer-review
A Systems Biology Approach to Identify Shared Genetic Signatures Between Dengue and Comorbidities
Haque, M.R., Podder, N.K., Hossain, S.M., Akter, P., Zim, S.M. and Chaity, M., 2025. A Systems Biology Approach to Identify Shared Genetic Signatures Between Dengue and Comorbidities. In International Conference on Data Science, AI and Applications (pp. 405-420). Springer, Cham.
2026 | Research output : Contribution to chapter › Chapter › peer-review
A Review for Bridging Clinical and Technical Gaps with Hybrid ML in Schizophrenia Diagnosis
S. M. Hossain, N. K. Podder, M. R. Haque, P. Akter, and T. R. Asma, “A Review for Bridging Clinical and Technical Gaps with Hybrid ML in Schizophrenia Diagnosis”, AIA, Jun. 2026, doi: 10.47852/bonviewAIA62028369.
2026 | Research output : Contribution to journal › Review › peer-review
Performance Comparison of CNN Architectures for Multi-class Chest X-Ray Classification of COVID-19 and Pneumonia
Haque, M.R., Islam, M.R., Arjon, S.S., Antor, M.S.U.M., Yasmin, T. and Uddin, M.R. (2026) ‘Performance comparison of CNN architectures for multi-class chest X-ray classification of COVID-19 and pneumonia’, Lecture Notes in Networks and Systems, pp. 299–312. Available at: https://doi.org/10.1007/978-3-032-15346-3_21
2026 | Research output : Contribution to chapter › Article › peer-review
Explainable Deep CNN Framework for Clinically Transparent and Accurate Brain Tumor Classification from MRI
Arjon, S.S., Yasmin, T., Mondol, A.K., Haque, M.R., Uddin, Md.R. and Aman, N. (2025). Explainable Deep CNN Framework for Clinically Transparent and Accurate Brain Tumor Classification from MRI. 2025 28th International Conference on Computer and Information Technology (ICCIT), pp.78–83. doi:https://doi.org/10.1109/iccit68739.2025.11490136
2026 | Research output : Contribution to conference › Paper › peer-review
Melanoma Classification Using CNNs and Vision Transformers with Explainable AI
Yasmin, T., Arjon, S.S., Mondol, A.K., Haque, M.R., Uddin, Md.R. and Aman, N. (2025). Melanoma Classification Using CNNs and Vision Transformers with Explainable AI. 2025 28th International Conference on Computer and Information Technology (ICCIT), pp.24–29. doi:https://doi.org/10.1109/iccit68739.2025.11490099.
2026 | Research output : Contribution to conference › Paper › peer-review
Deep Learning-Based Automated Detection of Tuberculosis from Chest X-Rays: A Comparative Study of State-of-the-Art Architectures
Yasmin, T., Arjon, S.S., Mondol, A.K., Haque, M.R., Uddin, Md.R. and Aman, N. (2025). Deep Learning-Based Automated Detection of Tuberculosis from Chest X-Rays: A Comparative Study of State-of-the-Art Architectures. 2025 28th International Conference on Computer and Information Technology (ICCIT), pp.42–47. doi:https://doi.org/10.1109/iccit68739.2025.11491176.
2026 | Research output : Contribution to conference › Paper › peer-review
Genomic Insights and Systems Biology Perspectives on Comorbidities in Polycystic Ovary Syndrome
Akter, P., Podder, N.K., Chaity, M.S.A., Haque, M.R., Hossain, S.M. and Azam, M.S., 2025, July. Genomic Insights and Systems Biology Perspectives on Comorbidities in Polycystic Ovary Syndrome. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-6). IEEE.
2025 | Research output : Contribution to conference › Paper › peer-review
Deep Learning Approaches for Lung Cancer Detection: A Comprehensive Evaluation of CNN
Uddin, M.R., Arjon, S.S., Yasmin, T., Roy, U., Haque, M.R., Rahim, M.A., Aman, N., Miah, A.S.M. and Shin, J., 2025, July. Deep learning approaches for lung cancer detection: A comprehensive evaluation of cnn. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-6). IEEE.
2025 | Research output : Contribution to conference › Paper › peer-review
A Comprehensive Bioinformatics Approach to Identify Key Genes and Comorbidities of Breast Cancer
Ghosh, R., Podder, N.K., Mia, M.N., Zim, S.M.H., Haque, M.R. and Islam, M.H., 2025, July. A Comprehensive Bioinformatics Approach to Identify Key Genes and Comorbidities of Breast Cancer. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-6). IEEE.
2025 | Research output : Contribution to conference › Paper › peer-review
Integrated Bioinformatics Analysis to Identify Biomarker Genes and Pathways in Lung Cancer
Zim, S.M.H., Podder, N.K., Mia, M.N., Ghosh, R., Haque, M.R. and Islam, M.H., 2025, July. Integrated Bioinformatics Analysis to Identify Biomarker Genes and Pathways in Lung Cancer. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-6). IEEE.
2025 | Research output : Contribution to conference › Paper › peer-review
Md Tanzim Hossain
Lecturer
A Comprehensive XAI-Driven Ensemble Learning Framework Integrating Adaptive Synthetic Sampling for Robust Prediction of Mental Illness
Hassan, Md.T., Swarna, S.S., Hassan, Md.M., Siddika, A., Hossain, M.T. and Joti, Most.S.S. (2025). A Comprehensive XAI-Driven Ensemble Learning Framework Integrating Adaptive Synthetic Sampling for Robust Prediction of Mental Illness. 2025 28th International Conference on Computer and Information Technology (ICCIT), [online] pp.5638–5643. doi:https://doi.org/10.1109/iccit68739.2025.11490158.
2026 | Research output : Contribution to conference › Paper › peer-review
Interpretability of Heart Disease Detection Using a Robust Stacked Hybrid Model
Ekram, A.B., Hasan Shuvo, Md.N., Hossain, M.T. and Mamun, S.A. (2025). Interpretability of Heart Disease Detection Using a Robust Stacked Hybrid Model. 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), [online] pp.1–6. doi:https://doi.org/10.1109/qpain66474.2025.11172249.
2025 | Research output : Contribution to conference › Paper › peer-review
Syeda Jannatul Naim
Lecturer
Bengali and English Languages Fake-news Identification
Naim, S.J. and Hoque, S.R., 2024, December. Bengali and English Languages Fake-news Identification. In 2024 27th International Conference on Computer and Information Technology (ICCIT) (pp. 3176-3181). IEEE.
2025 | Research output : Contribution to conference › Article › peer-review
Uncovering DeepFake Images for Identifying Source-images
Naim, S.J. and Rumee, S.T.A., 2024, December. Uncovering DeepFake Images for Identifying Source-images. In 2024 27th International Conference on Computer and Information Technology (ICCIT) (pp. 2629-2634). IEEE.
2025 | Research output : Contribution to conference › Article › peer-review
Asadullah Bin Rahman
Lecturer
Mitigating Noise from Biomedical Images Using Wavelet Transform Techniques
Rahman, A.B., Ibn Afjal, M. and Al Mamun, M.A., 2025. Mitigating noise from biomedical images using wavelet transform techniques. In: 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), pp.1–6. doi:10.1109/ECCE64574.2025.11013062.
2025 | Research output : Contribution to conference › Article › peer-review
Deep Learning Architectures for Medical Image Denoising: A Comparative Study of CNN-DAE, CADTra, and DCMIEDNet
Rahman, A.B., Afjal, M.I. and Mamun, M.A.A. (2025) Deep Learning Architectures for Medical Image Denoising: A Comparative Study of CNN-DAE, CADTra, and DCMIEDNet. arXiv preprint arXiv:2508.17223. Available at: https://arxiv.org/abs/2508.17223
2025 | Research output : Contribution to journal › Article › not peer-review
Systematic Evaluation of Wavelet-Based Denoising for MRI Brain Images: Optimal Configurations and Performance Benchmarks
Rahman, A.B., Afjal, M.I. and Mamun, M.A.A. (2025) Systematic Evaluation of Wavelet-Based Denoising for MRI Brain Images: Optimal Configurations and Performance Benchmarks. arXiv preprint arXiv:2508.15011. Available at: https://arxiv.org/abs/2508.15011
2025 | Research output : Contribution to journal › Article › not peer-review
Enhanced brain tumor classification from MRI images using deep learning model
Rahman, A.B., Touhid Islam, M., Islam, M.R., Sohrawordi, M. and Sultan, M.N., 2023. Enhanced brain tumor classification from MRI images using deep learning model. In: 2023 26th International Conference on Computer and Information Technology (ICCIT), pp.1–6. doi:10.1109/ICCIT60459.2023.10441064.
2023 | Research output : Contribution to conference › Article › peer-review
Amir Khabbab Ahammed
Lecturer
Advancing Cucumber Disease Detection in Agriculture Through Machine Vision and Drone Technology
2023 | Research output : Contribution to conference › Paper › peer-review
Deep Learning-Based Identification of Lung and Colon Cancer
2023 | Research output : Contribution to conference › Article › peer-review
Impact Analysis of Rooftop Solar Photovoltaic Systems in Academic Buildings
2023 | Research output : Contribution to conference › Article › peer-review
Shihab Uddin Sikder
Lecturer
OkkhorNet: A Deep Convolutional Neural Network to Classify Bengali Handwritten Characters
S. U. Sikder, M. S. Muslebeen, D. Z. Karim, R. Saha and T. A. Bushra, "OkkhorNet: A Deep Convolutional Neural Network to Classify Bengali Handwritten Characters," 2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Gold Coast, Australia, 2022, pp. 1-6, doi: 10.1109/CSDE56538.2022.10089315. keywords: {Computer science;Handwriting recognition;Costs;Image processing;Government;Data engineering;Planning;Deep learning;CNN;Bangali Characters;Image processing;DCNN;Handwritten Character Recognition;Bengali letters;Bengali compound characters},
2022 | Research output : Contribution to conference › Paper › peer-review
Sadia Afrin
Lecturer
A Hybrid CNN-Transformer Framework for Automated Stroke Detection in Brain CT with Grad-CAM
Noor, N.U., Hossain, M.A., Nishat, F.Z., Sarkar, M.S., Afrin, S. and Rahman, K.M., 2025, December. A Hybrid CNN-Transformer Framework for Automated Stroke Detection in Brain CT with Grad-CAM. In 2025 28th International Conference on Computer and Information Technology (ICCIT) (pp. 1998-2003). IEEE.
2026 | Research output : Contribution to conference › Article › peer-review
Explainable deep learning approaches for high precision early melanoma detection using dermoscopic images
Mahmud, M.A.A., Afrin, S., Mridha, M.F. et al. Explainable deep learning approaches for high precision early melanoma detection using dermoscopic images. Sci Rep 15, 24533 (2025). https://doi.org/10.1038/s41598-025-09938-4
2025 | Research output : Contribution to journal › Article › peer-review
Machine Learning for Predictive Database Caching Strategies: A state-of-the-art review
Afrin, S., Mahmud, M.A.A., Salam, A., Jubair, M.A.A. and Mridha, M.F., 2024, October. Machine Learning for Predictive Database Caching Strategies: A state-of-the-art review. In Proceedings of the 3rd International Conference on Computing Advancements (pp. 540-547).
2024 | Research output : Contribution to conference › Review › peer-review
Tanzin Ahammad
Lecturer
M-SAM: Multimodal Sentiment Analysis Exploiting Textual and Visual Features of Social Media Memes
2025 | Research output : Contribution to conference › Paper › peer-review
Sentiment classification of multi-modal memes using deep learning and transformer techniques
2024 | Research output : Contribution to conference › Paper › peer-review
A new topological sorting algorithm with reduced time complexity
2021 | Research output : Contribution to conference › Paper › peer-review
A new approach to solve job sequencing problem using dynamic programming with reduced time complexity
2020 | Research output : Contribution to conference › Paper › peer-review
Nusrat Jahan
Lecturer
Machine learning in cyberbullying detection from social-media image or screenshot with optical character recognition
40
2023 | Research output : Contribution to journal › Article › peer-review
Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
30
Undated | Research output : Contribution to journal › Article › peer-review
Safeguardnet: Enhancing corporate safety via tailored deep transfer learning for threat recognition
3
Undated | Research output : Contribution to journal › Article › peer-review
Zannatul Fardaush Tripty
Lecturer
BElite at BLP­2025 Task 1: Leveraging Ensemble for Multi Task Hate Speech Detection in Bangla
2025 | Research output : Contribution to conference › Article › peer-review
CUETSentimentSillies@DravidianLangTech-EACL2024: Transformer-based Approach for Sentiment Analysis in Tamil and Tulu Code-Mixed Texts
2024 | Research output : Contribution to conference › Article › peer-review
CUETSentimentSillies@DravidianLangTech EACL2024: Transformer-based Approach for Detecting and Categorizing Fake News in Malayalam Language
2024 | Research output : Contribution to conference › Article › peer-review