I am Mir Moynuddin Ahmed Shibly. I am currently working as an Assistant Professor at Computer Science and Engineering department of United International University , Dhaka. I have completed my BSc in CSE degree from East West University , Dhaka, Bangladesh. I have also finished my Masters in CSE (major in Data Science) from same university. My primary research interests include application of machine learning in computer security, building privacy-enhancing intelligent models, generative AI, and health informatics. I am actively looking for a PhD position in computer science field.
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Selected Publications
[J1]. Shibly MMA, Tisha TA, Tani TA, Ripon S. 2021. Convolutional neural network-based ensemble methods to recognize Bangla handwritten character. PeerJ Computer Science 7:e565 https://doi.org/10.7717/peerj-cs.565 [pdf]
[C6]. Taimur Rahman, Anas Mohammad Ishfaqul Muktadir Osmani, Mohammad Shahriar Rahman, Mir Moynuddin Ahmed Shibly, and Salekul Islam. 2025. Benchmarking Fully Homomorphic Encryption Libraries in IoT Devices. In Proceedings of the 11th International Conference on Networking, Systems, and Security (NSysS '24). Association for Computing Machinery, New York, NY, USA, 16–23. https://doi.org/10.1145/3704522.3704546
[C5]. Goni, O., Arka, H.S., Halder, M., Shibly, M.M.A., Shatabda, S. (2025). HingeRLC-GAN: Combatting Mode Collapse with Hinge Loss and RLC Regularization. In: Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, CL., Bhattacharya, S., Pal, U. (eds) Pattern Recognition. ICPR 2024. Lecture Notes in Computer Science, vol 15325. Springer, Cham. https://doi.org/10.1007/978-3-031-78389-0_25.
[C4]. M. M. Jannat Mim, N. A. Nela, T. R. Das, M. S. Rahman and M. M. Ahmed Shibly, "Enhancing Malware Detection Through Convolutional Neural Networks and Explainable AI," 2024 IEEE Region 10 Symposium (TENSYMP), New Delhi, India, 2024, pp. 1-6, doi: 10.1109/TENSYMP61132.2024.10752108.
[C3]. E. Hasan, H. Das, N. I. Shourav, R. Hossain, M. S. Rahman and M. M. A. Shibly, "ThreatScan-Strengthening Website Security with Predictive Analytics Using Machine Learning Model," 2024 IEEE Region 10 Symposium (TENSYMP), New Delhi, India, 2024, pp. 1-5, doi: 10.1109/TENSYMP61132.2024.10752190.
[C2]. Shibly M.M.A., Tisha T.A., Ripon S.H. (2021) Stacked Generalization Ensemble Method to Classify Bangla Handwritten Character. In: Shakya S., Balas V.E., Haoxiang W., Baig Z. (eds) Proceedings of International Conference on Sustainable Expert Systems. Lecture Notes in Networks and Systems, vol 176. Springer, Singapore. https://doi.org/10.1007/978-981-33-4355-9_46 [pdf]
[C1]. Tani, T.A., Shibly, M.M.A., Ripon, S. (2022). A Deep Convolutional Generative Adversarial Network-Based Model to Analyze Histopathological Breast Cancer Images. In: Skala, V., Singh, T.P., Choudhury, T., Tomar, R., Abul Bashar, M. (eds) Machine Intelligence and Data Science Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 132. Springer, Singapore. https://doi.org/10.1007/978-981-19-2347-0_59
[B2]. Tahmina Akter Tisha, Mir Moynuddin Ahmed Shibly, Kowshik Ahmed, Shamim H. Ripon, Chapter 12 - Convolutional neural networks and stacked generalization ensemble method in breast cancer prognosis, Editor(s): Janmenjoy Nayak, Danilo Pelusi, Bighnaraj Naik, Manohar Mishra, Khan Muhammad, David Al-Dabass, Computational Intelligence in Cancer Diagnosis, Academic Press, 2023, Pages 253-288, ISBN 9780323852401, https://doi.org/10.1016/B978-0-323-85240-1.00008-0.
[B1]. Tani, T.A., Shibly, M.M.A., Hasan, M.S., Yeasmin, N., Ripon, S. (2023). Autoencoder and Deep Convolutional Generative Adversarial Network in Improving the Performance of Bangla Handwritten Character Recognition. In: Roy, S.S., Hsu, CH., Kagita, V. (eds) Deep Learning Applications in Image Analysis. Studies in Big Data, vol 129. Springer, Singapore. https://doi.org/10.1007/978-981-99-3784-4_1
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