Personal profile

Biography

Noshin Un Noor is a dedicated academic and researcher with a strong foundation in Machine Learning, Artificial Intelligence, and Cybersecurity. She currently serves as a Lecturer in the Department of Computer Science & Engineering at World University of Bangladesh, since January 2023. With a Master’s and Bachelor's degree in Information and Communication Engineering from Bangladesh University of Professionals.

Her research portfolio includes several impactful publications in peer-reviewed journals and IEEE conferences. Noshin has led and contributed to projects that leverage convolutional neural networks for skin disease diagnosis and crop health monitoring—key efforts aimed at improving agricultural sustainability and accessible healthcare. Her work also extends into cybersecurity, where she has explored AES-based protocols for online banking and designed intrusion detection systems using recurrent neural networks for critical infrastructure protection. Additionally, she has contributed to innovative solutions in IoT-based environmental monitoring and video steganography using hybrid algorithms.

Alongside her academic work, Noshin brings two years of experience in the IT industry, which enriches her research with practical insights into real-world system implementation and software development. With hands-on expertise in tools like Python, MATLAB, and Arduino, and a strong foundation in data mining, software testing, and system design, she continues to bridge academia and industry in pursuit of scalable, intelligent, and secure solutions.

Education/Academic Qualification

Information & Communication Engineering , MSc, Bangladesh University of Professional

→ 2025

Award Date: 24 June, 2025

Information & Communication Engineering , BSc, Bangladesh University of Professional

2016 → 2019

Award Date: 20 December, 2019

Research expertise keywords

Artificial Intelligence Machine Learning Image Processing Cyber-Security Deep Learning Natural Language Processing(NLP)

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Research output

Article

Conference paper

Books

Books Chapter

2025

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

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

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)

Research output : Contribution to journal › Article › peer-review

Smart Livestock Guardian: Internet of Things Driven Real-Time Health and Location Analytics

Hossain, M.A., Noor, N.U. et?al. (2025) ‘Smart livestock guardian: Internet of things driven real-time health and location analytics’, Advances in Internet of Things, 25

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

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

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

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

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

2024

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

2023

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

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

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Supervised Work