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Professor Mir Mohammad Azad, PhD
Professor
A Case Studies of Style Variation of Pant in RMG Sector of Bangladesh
Noorul Muqaddim and Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Laws of Muslim Marriage from the concept of the Holy Qur’an
Syeda Shajia Sharmin and Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Transparent Blockchain-Based Electronic Voting System: A Smart Voting Using Ethereum
Md. Tarequl Islam, Md. Sabbir Hasan, Abu Sayed Sikder, , Md. Selim Hossain ; Mir Mohammad Azad
Research output : Contribution to chapter › Paper › peer-review
Cascaded Deep CNN Network for Breast Cancer Screening from Ultrasound Images Using Differential Evolution Algorithm
Md. Wahidur Rahman, Md.Sadman Sakib, Md Solaiman Hosen, Mir Mohammad Azad, Hani Alshahrani, Adel Sulaiman, Mana Saleh Al Reshan, Asadullah Shaikh
Research output : Contribution to conference › Paper › peer-review
IoT Enabled Virtual Home Assistant Using Raspberry Pi
Md. Tarequl Islam, Md Selim Azad, Md Sobuj Ahammed, Md Wahidur Rahman, Mir Mohammad Azad, Mostofa Kamal Nasir
Research output : Contribution to conference › Chapter › peer-review
Analyzing the effect of feature mapping techniques along with the circuit depth in quantum supervised learning by utilizing quantum support vector machine
Muhammad Minoar Hossain, Mohammed Sowket Ali, Reshma Ahmed Swarna, Md. Mahmodul Hasan, Nahida Habib, Md. Wahidur Rahman, Mir Mohammad Azad, Mohammad Motiur Rahman
Research output : Contribution to conference › Paper › peer-review
Evaluating the Performance of State-of-the-art Methods and Classifying Covid-19 Infected Tissues
M. M. Kamruzzaman, Wahidur Rahman, Md. Moinuddin, Mir Mohammad Azad, Atikul Islam Liton ,Muhammad Anwar Hossain
Research output : Contribution to conference › Paper › peer-review
Observation of Heart Attack Patients Utilizing Machine Learning with Monarch Butterfly Optimization and IoT
Md. Wahidur Rahman, Muhammad Minoar Hossain, Md. Abul Ala Walid, S.M. Saklain Galib,Rokhsana, Talha Bin Abdul Hai, Mir Mohammad Azad, Mohammad Ali Moni
Research output : Contribution to conference › Paper › peer-review
Optimized Hybrid Cascaded Approach for Accurate OSCC Detection in Histopathology Images Using Deep CNNs
Eshat Ahmed Shuvo, Md. Wahidur Rahman, Md Solaiman Hosen, Mir Mohammad Azad, Hani Alshahrani, Adel Sulaiman, Mana Saleh Al Reshan, Safeeullah Soomaro
Research output : Contribution to chapter › Paper › peer-review
Cat-CNN: Human Eye Cataract Detection from Color Fundus Photograph with Deep CNN with Optimized Cascaded Network
Md Sariful Islam, Md Tusher Ahmed Bappy, Jubayer Ahmed Shawon, Mehedi Hasan, Md. Wahidur Rahman, Lija Akter, Mir Mohammad Azad
Research output : Contribution to conference › Paper › peer-review
The Function of Micro Credit System in Social Amendment A Case Study on Rajshahi District in Bangladesh
Mohammad Bin Amin, Sk.Shamim Ahmed, Rashadur Rahman, Mir Mohammad Azad and Mir Abdullah Shahneaz
Research output : Contribution to journal › Article › peer-review
Analysis of The Determinant’s of Marriage to First Birth Interval in Bangladesh
Md Mukhlesur Rahman, Mohitul Ameen Ahmed Mustafi and Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
An Evaluation of Factors Influencing the Customer Loyalty in Public Banking Sector of Bangladesh: A Case Study on Agrani, Janata, and Sonali Bank Ltd
Mohammad Afsar Kamal, Mohitul Ameen Ahmed Mustafi and Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Textiles Material Dyeing with Supercritical Carbon Dioxide (CO2) without using Water
Lablu Miah, Nasrin Ferdous, Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Factor Influencing of Child Immunization in Bangladesh
MOHITUL AMEEN AHMED MUSTAFI, MIR MOHAMMAD AZAD
Research output : Contribution to journal › Article › peer-review
A Review Analysis of Ancient Greek Architecture
Mir Mohammad Azad, Abhik Barua and Shrmin Sultana
Research output : Contribution to journal › Article › peer-review
A Culture Analysis of Bangladesh Impact On Native People and Foreigners
Mir Mohammad Azad, Md. Mehedi Hassan and Mohammad Kamaluddin
Research output : Contribution to journal › Article › peer-review
Effects of Socio- Demographic Covariates on Blood Glucose Level of the Diabetic Patients: A Multiple Classification Analysis (MCA)
Md. Behzad Noor, Mir Mohammad Azad and J.A.M. Shoquilur Rahman
Research output : Contribution to journal › Article › peer-review
A Case Studies of Ancient Egyptian Architecture
Mir Mohammad Azad and Abhik Barua
Research output : Contribution to journal › Article › peer-review
Color Image Processing in Digital Image
Mir Mohammad Azad, Md Mahedi Hasan and Mohammed Naseer K
Research output : Contribution to journal › Article › peer-review
The Statutory Laws of Bangladesh Relating to Muslim Marriage
Syeda Shajia Sharmin, Md. Moazzom Hossain, Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Impact of Work Study on Productivity: A Study on Athletic Shirt Manufacturing Process in the Apparel Industry
Noorul Muqaddim, Suhal Ahmed, Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Development of Smart Antenna for Future Generation Wireless Internet Connection
Mir Mohammad Azad and Abu Hasnat Shohel Ahmed
Research output : Contribution to journal › Article › peer-review
Single Input Multiple Output (SIMO) Wireless Link with Turbo Coding
M.M.Kamruzzaman and Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Digital Rights Management
Mir Mohammad Azad, Abu Hasnat Shohel Ahmed and Asadul Alam
Research output : Contribution to journal › Article › peer-review
Digitizing and Sampling of Image Process
Mir Mohammad Azad, Md. Mahedi Hasan and Asadul Alam
Research output : Contribution to journal › Article › peer-review
Review of Digital Image Processing System
40. Mir Mohammad Azad and Md. Mahedi Hasan
Research output : Contribution to journal › Article › peer-review
E-commerce aspect of Developing Countries like Bangladesh
Mir Mohammad Azad and Md Mahedi Hasan
Research output : Contribution to journal › Article › peer-review
Internal Controls in Management Information System
A.M. Shahabuddin, Asadul Alam and Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Security System of Wireless Network
Abu Hasnat Shohel Ahmed, Mir Mohammad Azad, Mohammed Nasir Uddin, and Selina Sharmin
Research output : Contribution to journal › Article › peer-review
Executive Information System
Mir Mohammad Azad , Mohammad Bin Amin and Md Alauddin
Research output : Contribution to journal › Article › peer-review
Business Transaction Processing System
Mohammad Bin Amin, MD. Alauddin and Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Analysis of Internal Control System on E- Commerce
Mir Mohammad Azad and Mohammed Naseer K
Research output : Contribution to journal › Article › peer-review
Accurate and Predictable Cardiovascular Disease Detection by Machine Learning
ABM Asadullah, Kawsher Rahman, Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Effect of Income Tax Outcome Revenue Based on Digitization of Bangladesh
Mir Mohammad Azad, Syeda Shajia Sharmin and Kazi Nafiul Mazid
Research output : Contribution to journal › Article › peer-review
Cyber Crime Problem Areas, Legal Areas and the Cyber Crime Law
Mir Mohammad Azad, Kazi Nafiul Mazid and Syeda Shajia Sharmin
Research output : Contribution to journal › Article › peer-review
The ICT in Agricultural Development of Bangladesh
Mir Mohammad Azad, Atikul Islam Liton and Mohammed Naseer K
Research output : Contribution to journal › Article › peer-review
Smoothing, Sharpening and Segmentation of Image
Mir Mohammad Azad and M N I Chowdhury
Research output : Contribution to journal › Article › peer-review
Metric Topology and Visual Perception of Image
Mir Mohammad Azad, M N I Chowdhury and Muhammad Aminuzzaman
Research output : Contribution to journal › Article › peer-review
Impact of Social Media in Social Life in China
Mir Mohammad Azad, Changshou Deng, Hu Peng, Xiwei Dong and Abu Sayed Sikder
Research output : Contribution to journal › Article › peer-review
Zeonex based decagonal photonic crystal fiber (D-PCF) in the terahertz (THz) band for chemical sensing applications
Shuvo Sen , Md. Abdullah-Al-Shafi , Abu Sayed Sikder, Md. Selim Hossain and Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Simulation and analysis of ultra-low material loss of single-mode photonic crystal fiber in terahertz(THz) spectrum for communication applications
Md. Selim Hossain, Md. Mahedi Hasan, Shuvo Sen, Md. Sarwar Hossain Mollah and Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Design and Numerical Analysis of Zeonex Based Photonic Crystal Fiber for the Applications in Different Types of Communication Networks
Md. Selim Hossain, Abu Sayed Sikder, Shuvo Sen and Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Blockchain-Based Decentralized Digital Self-Sovereign Identity Wallet for Secure Transaction
Md. Tarequl Islam, Mostofa Kamal Nasir, Md. Mahedi Hasan, Mohammad Gazi Golam Faruque, Md. Selim Hossain and Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Hexahedron Core with Sensor Based Photonic Crystal Fiber: An Approach of Design and Performance Analysis
Md. Selim Hossain, M. M. Kamruzzaman, Shuvo Sen and Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Design and Analysis of the Effect of Zeonex Based Octagonal Photonic Crystal Fiber for Different Types of Communication Applications
Md. Selim Hossain, M. M. Kamruzzaman, Shuvo Sen and Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Medical Diagnosis using Deep Learning Techniques: A Research Survey
Mir Mohammad Azad, Apoorva Ganapathy, Siddhartha Vadlamudi, Harish Paruchuri
Research output : Contribution to journal › Article › peer-review
Large effective area with high power fraction in the core region and extremely low effective material loss-based photonic crystal fiber (PCF) in the terahertz (THz) wave pulse for different types of communication sectors
Md. Mahamudul Hasan , Mimun Barid, Md. Selim Hossain, Shuvo Sen , Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Smart Security Solution for Market Shop Using IoT and Deep Learning
Talha Bin Abdul Hai, Wahidur Rahman, Md Solaiman Hosen, Md. Tarequl Islam, A H M Saifullah Sadi, Gazi Golam Faruque, Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
COVID-19 detection from chest CT images using optimized deep features and ensemble classification
Muhammad Minoar Hossain, Md. Abul Ala Walid, S.M. Saklain Galib, Mir Mohammad Azad, Wahidur Rahman, A.S.M. Shafi, Mohammad Motiur Rahman,
Research output : Contribution to journal › Article › peer-review
Design of Quasi-Shaped spectroscopy based optical sensor for the detection of alcohol.”
Md Selim Hossain, Rakib Hossen, Md Abul Ala Walid, Syada Tasmia Alvi, Md Al-Amin, Shuvo Sen, Mir Mohammad Azad,
Research output : Contribution to journal › Article › peer-review
How Do Job Happiness Factors Affect Building Construction Workers in Bangladesh?: The Moderating Role of Monitoring System
Mohitul Ameen Ahmed Mustafi, Mohasina Ankhi Abid Aziz, Sonjoy Maitra, Farooq Hossan, Md Monowar Uddin Talukdar, Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Detection of Multiple Diseases from Chest X-Ray Using Machine Learning and Deep Learning Approaches
Mir Mohammad Azad, Fahima Hossain ,Zakir Hossain , Md Solaiman Hosen , Azadia Easmin Badhan, Sabina Yesmin,
Research output : Contribution to journal › Article › peer-review
Multiclass blood cancer classification using deep CNN with optimized features
Wahidur Rahman, Mohammad Gazi Golam Faruque,Kaniz Roksana, A H M SaifullahSadi,Mohammad Motiur Rahman,Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Early Prediction of Epileptic Seizure Using EEG Spectral Features and Machine Learning Approaches
Fahima Hossain, Md. Abul Ala Walid, Rokeya Akter, S. M. Saklain Galib, Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Heat Transfer of Nanofluid in A Porous Medium U- Shaped Enclosure: Numerical Investigations
Md. Jahirul Haque Munshi, Rathindra Chandra Gope, Md. Siful Islam, Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Impact of Facebook in Social & Economic Aspect on the Students of Hamdard University Bangladesh
Mir Mohammad Azad, Md. Imran Hossain, Fahima Hossain, Mohammad Bin Amin, Mohammad Rezaul Karim, Hasina Imam, Md. Afzal Hossain , Judit Oláh
Research output : Contribution to journal › Article › peer-review
Influence of Covid-19 and Employees Response to Deviations on Employee Enactment
Wasib Bin Latif, Issa Ahammad, Emran Ahmed , Md. Mahedi Hasan , Mohammed Abdul Jalil , Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
T Wave Detection Based on Right Triangle Hypotenuse System
Mohammad Motiur Rahman, Md. Harun-Ar-Rashid, Mohammed Sowket Ali, Oindrila Chowdhury, Rezaul Karim, Al Shahriar Rubel
Research output : Contribution to journal › Article › peer-review
Efficient way for chemicals identification using hexagonal fiber with the terahertz (THz) band
Md. Selim Hossain, M. M. Kamruzzaman, Md. Mizanur Rahman, Shuvo Sen, Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
IoT enabled mushroom farm automation with Machine Learning to classify toxic mushrooms in Bangladesh
Hasibur Rahman, Md. Omar Faruq, Talha Bin Abdul Hai, Wahidur Rahman, Muhammad Minoar Hossain, Mahbubul Hasan, Shafiqul Hasan, Md. Moinuddin, Md.Tarequl Islam, Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Role of Internet of Things (IoT) in Enabling Productive Work From Home (WFH) For Environmental Volatiles
Allen Lim Chong Guan, Mani Manavalan, Alim Al Ayub Ahmed, Mir Mohammad Azad, Md. Shelim Miah
Research output : Contribution to journal › Article › peer-review
Design and analysis of heptagonal cladding with rotated?hexa elliptical core based PCF for the applications of communication sectors in the THz region
Md. Selim Hossain, Mimun Barid, Shuvo Sen, Mir Mohammad Azad, Md. Dulal Haque
Research output : Contribution to journal › Article › peer-review
Sensitivity analysis for detecting chemicals by the optical chemical sensor based Photonic Crystal Fiber (PCF) in the Terahertz (THz) regime
Md Selim Hossain , Md Omar Faruq, Md Masud Rana, Shuvo Sen, Md Dulal Haque , Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Performance analysis of alcohols sensing with optical sensor procedure using circular photonic crystal fiber (C-PCF) in the terahertz regime
Md. Selim Hossain, Nazmul Hussain , Zakir Hossain , Md. Sakib Zaman , Md. Navid Hasan Rangon , Md. Abdullah-Al-Shafi , Shuvo Sen , Mir Mohammad Azad
Research output : Contribution to journal › Article › peer-review
Kazi H. Robin
Associate Professor
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
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
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
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
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
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
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
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
Assistant Professor
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
Securing Critical Infrastructure: A Robust DNP3 Intrusion Detection System Employing Recurrent Neural Networks.
Research output : Contribution to conference › Article › peer-review
A Novel LSB Steganography Technique for Enhancing Cloud Security
Research output : Contribution to journal › Article › peer-review
Real-Time Unconscious Human Behavior Detection Incorporating Enhanced CSPDarknet53 and YOLOv9
Research output : Contribution to conference › Article › peer-review
Enhancing False Positive Alert Detection in Security Information and Event Management System Using Recurrenot Neural network
Research output : Contribution to conference › Article › peer-review
Enhancing Video Steganography Techniques Using Hybrid Algorithms
Research output : Contribution to journal › Article › peer-review
Enhancing The Cyber Security Using Ensemble Stacking Model For Phishing Sites Detection With Hyperparameter tuning
Research output : Contribution to journal › Article › peer-review
Smart Livestock Guardian: Internet of Things-Driven Real-Time Health and Location Analytics
Research output : Contribution to journal › Article › peer-review
IoT-Enabled Hysteresis Control System for Enhanced Photovoltaic Panel Performance in Rural Solar Applications
Research output : Contribution to conference › Article › peer-review
5G Network Vulnerabilities: A Security Mechanism for Detecting and Blocking DDoS Threats at the Network Edge
Research output : Contribution to journal › Article › peer-review
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
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, & 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
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*, 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, 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
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
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.
Research output : Contribution to journal › Article › peer-review
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
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
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
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
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
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
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
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
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, & 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
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
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
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
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
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
Md. Nazmus Sakib
Assistant Professor
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
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,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
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
Dr. Md Amran Hossen
Assistant Professor
A comparative study of supervised and unsupervised approaches in human activity analysis based on skeleton data
Research output : Contribution to journal › Article › peer-review
Social Distance Monitoring Using a Low-cost 3d Sensor
Research output : Contribution to conference › Article › peer-review
[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
[Under Review] DPMClusterNet: Unsupervised Clustering of Human Activities from Skeleton Data
Research output : Contribution to journal › Article › peer-review
Deep Learning for Skeleton-Based Human Activity Segmentation: An Autoencoder Approach
Research output : Contribution to journal › Article › peer-review
Evaluation of 2D and 3D posture for human activity recognition
Research output : Contribution to conference › Article › peer-review
Machine Learning for Human Activity Recognition: State-of-the-Art Techniques and Emerging Trends
Research output : Contribution to journal › Article › peer-review
Investigation of the Unsupervised Machine Learning Techniques for Human Activity Discovery
Research output : Contribution to journal › Article › peer-review
Shamsun Nahar
Assistant Professor
IoT-Enabled Hysteresis Control System for Enhanced Photovoltaic Panel Performance in Rural Solar Applications
Research output : Contribution to conference › Paper › peer-review
Smart Livestock Guardian: Internet of Things Driven Real-Time Health and Location Analytics
Research output : Contribution to journal › Paper › peer-review
Advancement in Neuroimaging: Automated Identification of Brain Stroke through Machine Learning
Research output : Contribution to conference › Paper › peer-review
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, 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,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, 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, 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
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
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
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
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
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
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
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
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
NoPass—A Novel Passwordless Multi-authentication-Based Approach for Secure Login
Research output : Contribution to conference › Article › peer-review
Securing Critical Infrastructure: A Robust DNP3 Intrusion Detection System Employing Recurrent Neural Networks
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
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
Research output : Contribution to conference › 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).
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.
Research output : Contribution to conference › Article › 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.
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 
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
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
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.
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
Research output : Contribution to conference
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
Kh. Mustafizur Rahman
Sr. Lecturer
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
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
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
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
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
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
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
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
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
A Novel Hybrid Quantum Framework for Assessing Noise Effects on Performance of Shor’s Algorithm
Research output : Contribution to journal › Article › 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
Research output : Contribution to journal › Paper › peer-review
Md. Shahariar Sarkar
Sr. Lecturer
A Robust Deep Learning Based Hybrid Model to Detect Covid-19 Using Chest X-ray.
Sarkar, M.S. Asfim, M.M., and Hasan, R., 2023. A robust deep learning based hybrid model to detect COVID-19 using chest X-ray. In: Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning (BIM 2023).
Research output : Contribution to chapter › Chapter › peer-review
Discovering the Depths of Cotton Leaf Disease Detection: Integrating Hypertuned Residual Networks with GradCAM XAI for Enhanced Understanding and Diagnosis.
M. S. Sarkar, M. A. S. Lifat, R. Hasan and M. M. Hassan,
Research output : Contribution to conference › Paper › peer-review
Enhancing Drinking Water Quality Assessment: An Exploration of Elemental Composition for Drinkable Water
M. M. Hassan, N. Un Noor, M. A. Hossain, M. S. Sarkar, A. Siddika and S. K. Ghosh,
Research output : Contribution to conference › Paper › peer-review
Emotion Recognition and Analysis System (ERAS) : Leveraging Advanced AI for Real-Time Emotion Detection in Social Media Content.
A. Siddika, T. Rayhan, M. S. Sarkar and M. M. Hassan,
Research output : Contribution to conference › Paper › peer-review
Shapley Additive exPlanations for Identification of Astrocytoma and Glioblastoma using Region-Based MRI Radiomics Feature Analysis. 
Sarkar, M., Sarker, M.A.S., Ashfaq, K., Hassan, M. and Hasan, R.,
Research output : Contribution to conference › Paper › peer-review
 Comparative Evaluation of Structural Diffusion Tensor and Perfusion MRI for MGMT Methylation Prediction in Glioblastoma Using Deep Learning Approach.
M. A. Sarker Lifat, M. Shahariar Sarkar, A. Siddika and S. T. Sharif,
Research output : Contribution to conference › Paper › peer-review
XAI-Driven CNN Model for Accurate Rice Leaf Disease Detection: A Transition from Black Box to Explainable AI
Research output : Contribution to conference › Paper › peer-review
Advancement in Neuroimaging: Automated Identification of Brain Stroke through Machine Learning. – International conference on healthcare technology and Biomedical Engineering (AHBTE25), Vancouver,Canada.
Research output : Contribution to conference › Paper › peer-review
Machine Learning based Evaluation of Cybersecurity Awareness among Employees in Global Organizations: A Case Study of Somalia
Research output : Contribution to conference › Paper › peer-review
Grad-CAM in Rice Leaf Disease Detection Using an Improved CNN Model: Transitioning from Black Box to Explainable AI
Research output : Contribution to conference › Paper › peer-review
Md. Mahedi Hassan
Lecturer
Emotion Recognition and Analysis System (ERAS) : Leveraging Advanced AI for real-time Emotion Detection in Social Media Content.
Siddika, A., Rayhan, T., Sarkar, M.S. and Hassan, M.M., 2025, February. Emotion Recognition and Analysis System (ERAS): Leveraging Advanced AI for real-time Emotion Detection in Social Media Content. In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-8). IEEE.
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, July. IoT-Enabled Hysteresis Control System for Enhanced Photovoltaic Panel Performance in Rural Solar Applications. In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) (pp. 1-6). IEEE.
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., & Lifat, M. A. S. Advancement in neuroimaging: Automated identification of brain stroke through machine learning. In International Conference on Advancement in Healthcare Technology and Biomedical Engineering 2025 (Vancouver, Canada).
Research output : Contribution to conference › Article › peer-review
An Emperical Analysis to Predict Customer Churn Using XAI-Driven Machine Learning Model.
Hassan, M. M., Hassan, M. T., Swarna, S. S., Hossen, A., Arafat, Y., & Talukder, S. I. (2025). An Emperical Analysis to Predict Customer Churn Using XAI-Driven Machine Learning Model. In 2025 3rd International Conference on Big Data, IoT and Machine Learning (BIM).
Research output : Contribution to conference › Article › peer-review
Exploratory analysis of the impact of data balancing on the classifier's performance in predicting creditworthiness reliability.
Hassan, M.M., Hossen, A., Arafat, Y., Sarker, M.N., Jamil, M.H. and Siddika, A., 2025. Exploratory analysis of the impact of data balancing on the classifier’s performance in predicting creditworthiness reliability. Indonesian Journal of Electrical Engineering and Informatics (IJEEI), 13(3), pp.703–721.
Research output : Contribution to journal › Article › peer-review
Advances in Explainable Big Data Analytics for Enhanced Cybersecurity.
Hasan, M., Hassan, M. M., Akter, S., Hajek, P., and Abedin, M. Z. (2025). Advances in Explainable Big Data Analytics for Enhanced Cybersecurity. Information Systems Frontiers.
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.
Research output : Contribution to journal › Article › peer-review
Shapley Additive exPlanations for Identification of Astrocytoma and Glioblastoma using Region-Based MRI Radiomics Feature Analysis.
Lifat, M.A.S., Sarkar, M.S., Al Ashfaq, K., Hassan, M.M., Karim, R. and Hasan, R., 2025, June. Shapley Additive exPlanations for Identification of Astrocytoma and Glioblastoma using Region-Based MRI Radiomics Feature Analysis. In 2025 2nd International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM) (pp. 1-4). IEEE.
Research output : Contribution to conference › Article › peer-review
An Empirical Analysis on Renewable Energy: Biogas Production Prediction Using Machine Learning
Hassan, M.M., Hossen, A., Sarker, M.N., Arafat, Y., Khan, A., Talukder, S.I. and Roy, B.K.S., 2025. An Empirical Analysis on Renewable Energy: Biogas Production Prediction Using Machine Learning. Journal of Power and Energy Engineering, 13(7), pp.40-59.
Research output : Contribution to journal › Article › peer-review
The Impact of Data Balancing on the Classifier's Performance in Predicting Cesarean Childbirth.
Hasan, M., Islam, M.M., Sajid, S.W. and Hassan, M.M., 2022, December. The impact of data balancing on the classifier's performance in predicting cesarean childbirth. In 2022 4th International conference on electrical, computer & telecommunication engineering (ICECTE) (pp. 1-4). IEEE.
Research output : Contribution to conference › Article › peer-review
An Ensemble Machine Learning Approach to Classify Parkinson’s Disease from Voice Signal. 
Mahedi Hassan, M., Fazle Rabbi, M., Hasan, M. and Roy, B., 2023, September. An ensemble machine learning approach to classify parkinson’s disease from voice signal. In International Conference on Big Data, IoT and Machine Learning (pp. 575-590). Singapore: Springer Nature Singapore.
Research output : Contribution to conference › Article › peer-review
An Explainable AI-Driven Machine Learning Framework for Cybersecurity Anomaly Detection.
Hassan, M.M., Abrar, M.F. and Hasan, M., 2023. An explainable AI-driven machine learning framework for cybersecurity anomaly detection. In Cyber Security and Business Intelligence (pp. 197-219). Routledge.
Research output : Contribution to chapter › Article › peer-review
Empirical Analysis of Regression Techniques to Predict the Cybersecurity Salary.
Hasan, M., Hassan, M.M., Faisal-E-Alam, M. and Akter, N., 2023. Empirical Analysis of Regression Techniques to Predict the Cybersecurity Salary. In Cyber Security and Business Intelligence (pp. 65-84). Routledge.
Research output : Contribution to chapter › Article › peer-review
Discovering the Depths of Cotton Leaf Disease Detection: Integrating Hypertuned Residual Networks with GradCAM XAI for Enhanced Understanding and Diagnosis
Sarkar, M.S., Lifat, M.A.S., Hasan, R. and Hassan, M.M., 2024, April. Discovering the depths of cotton leaf disease detection: Integrating hypertuned residual networks with GradCAM XAI for enhanced understanding and diagnosis. In 2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) (pp. 1-6). IEEE.
Research output : Contribution to conference › Article › peer-review
Leveraging Spatial and Channel Attention in VGG16 for Efficient Tomato Leaf Disease Detection
Faruk, A.M., Al Faraby, H., Abdul, A., Rimi, A. and Hassan, M.M., 2023, December. Leveraging Spatial and Channel Attention in VGG16 for Efficient Tomato Leaf Disease Detection. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE.
Research output : Contribution to conference › 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.
Research output : Contribution to conference › Article › peer-review
Improving Loan Approval Decisions: The Impact of Data Balancing on the Classifier’s Performance in Predicting Borrower Reliability
Hassan, M.M., Abrar, M.F., Kakon, S., Hossen, A. and Arafat, Y., 2024, December. Improving Loan Approval Decisions: The Impact of Data Balancing on the Classifier’s Performance in Predicting Borrower Reliability. In 2024 27th International Conference on Computer and Information Technology (ICCIT) (pp. 1690-1695). IEEE.
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, February. Enhancing Drinking Water Quality Assessment: An Exploration of Elemental Composition for Drinkable Water. In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-6). IEEE.
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.U., Hossain, M.A., Hossain, M., Hasan, M.R., Al Amin, M., Nahar, S., Ullah, A. and Hassan, M.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), pp.1-29.
Research output : Contribution to journal › Article › peer-review
Enhancing flood forecasting performance using effective and transparent explainable hybrid deep learning model. 
Hasan, M., Rabbi, M.F., Hamja, M.A., Fatema, K. and Hassan, M.M., 2025. Enhancing flood forecasting performance using effective and transparent explainable hybrid deep learning model. Earth Science Informatics, 18(2), p.417.
Research output : Contribution to journal › Article › peer-review
Analyzing Biogas Production in Livestock Farms Using Explainable Machine Learning
Hassan, M.M., Shamim, M., Hasan, M., Hamja, M.A., Fatema, K. and Pritom, S.R., 2025. Analyzing Biogas Production in Livestock Farms Using Explainable Machine Learning. In Machine Learning Technologies on Energy Economics and Finance: Energy and Sustainable Analytics, Volume 1 (pp. 199-225). Cham: Springer Nature Switzerland.
Research output : Contribution to chapter › Article › peer-review
Analyzing Global Energy Patterns: Clustering Countries and Predicting Trends Toward Achieving Sustainable Development Goals
Hasan, M., Shilpa, N.A., Sohag, A., Hassan, M.M. and Siddikee, M.J.A., 2025. Analyzing Global Energy Patterns: Clustering Countries and Predicting Trends Toward Achieving Sustainable Development Goals. In Machine Learning Technologies on Energy Economics and Finance: Energy and Sustainable Analytics, Volume 1 (pp. 1-23). Cham: Springer Nature Switzerland.
Research output : Contribution to chapter › Article › peer-review
Md Tanzim Hossain
Lecturer
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
Mohammad Anwar Hossain
Lecturer
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
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
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
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
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
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
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
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
 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
 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
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
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
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
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
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
Sumaiya Rahman
Lecturer
Classifying Fake News With a Large-Scale Dataset Using Machine Learning Approaches
Farjana, M., Rahman, S., Karim, M.R.R., Swapnil, N.H. and Rahman, A.F.M.M., 2025. Classifying fake news with a large-scale dataset using machine learning approaches. Presented at the IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking, 2025. (In publication)
Research output : Contribution to conference › Paper › peer-review
Multimodal Deep Learning Approach for Bangla Sign Language Recognition: Integrating Spatial and Geometric Features
Rahman, S., Afroge, S., Zami, A. and Kabir, M.M.J., 2025. Multimodal deep learning approach for Bangla sign language recognition: Integrating spatial and geometric features. Presented at the 2nd International Conference on Next-Generation Computing, IoT, and Machine Learning, 2025. (In publication)
Research output : Contribution to conference › Paper › peer-review
Gender Abusive Language Detection in Bengali Using Machine Learning Algorithms
Farjana, M., Chowdhury, B., Rahman, F., Makin, Z.R.B., Rahman, S. and Srizon, A.Y., 2023, September. Gender-Abusive Language Detection in Bengali Using Machine Learning Algorithms. In International Conference on Big Data, IoT and Machine Learning (pp. 861-875). Singapore: Springer Nature Singapore.
Research output : Contribution to chapter › Chapter › peer-review
Mst. Nishita Aktar
Lecturer
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
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
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
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
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
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
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
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, 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
Amir Khabbab Ahammed
Lecturer
Deep Learning-Based Identification of Lung and Colon Cancer
Research output : Contribution to conference › Article › peer-review
Impact Analysis of Rooftop Solar Photovoltaic Systems in Academic Buildings
Research output : Contribution to conference › Article › peer-review
Advancing Cucumber Disease Detection in Agriculture Through Machine Vision and Drone Technology
Research output : Contribution to conference › Paper › peer-review
Noshin Un Noor
Lecturer
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
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
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
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
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
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
 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
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
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
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
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
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
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},
Research output : Contribution to conference › Paper › peer-review
Sadia Afrin
Lecturer
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
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
Tanzin Ahammad
Lecturer
M-SAM: Multimodal Sentiment Analysis Exploiting Textual and Visual Features of Social Media Memes
Research output : Contribution to conference › Paper › peer-review
Sentiment classification of multi-modal memes using deep learning and transformer techniques
Research output : Contribution to conference › Paper › peer-review
A new approach to solve job sequencing problem using dynamic programming with reduced time complexity
Research output : Contribution to conference › Paper › peer-review
A new topological sorting algorithm with reduced time complexity
Research output : Contribution to conference › Paper › peer-review
Fariha Zaman Nishat
Lecturer
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
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.
Research output : Contribution to conference › Article › 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.
Research output : Contribution to conference › Article › peer-review