Tahmina Akter Tisha, Mir Moynuddin Ahmed Shibly, Rashedul Amin Tuhin, Ahmed Wasif Reza, “Modeling and classification of departmental business processes of a Bangladeshi university”, Indonesian Journal of Electrical Engineering and Computer Science, vol. 29, no. 2, pp. 1113~1121, 2023. DOI: 10.11591/ijeecs.v29.i2. . (SCOPUS indexed) [pdf]
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]
Ahmed Wasif Reza, Md Mahamudul Hasan, Nazla Nowrin, and Mir Moynuddin Ahmed Shibly, Pre-trained deep learning models in automatic COVID-19 diagnosis, Indonesian Journal of Electrical Engineering and Computer Science, vol. 22, no. 3, 2021 http://doi.org/10.11591/ijeecs.v22.i3.pp1540-1547 [pdf]
Ahmed Wasif Reza, Jannatul Ferdous Sorna, Md. Momtaz Uddin Rashel , and Mir Moynuddin Ahmed Shibly, ModCOVNN: A Convolutional Neural Network Approach in COVID19 Prognosis, International Journal of Advances in Intelligent Informatics, vol. 7, no. 2, 2021 https://doi.org/10.26555/ijain.v7i2.604 [pdf]
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
Tahmina Akter Tisha, Mir Moynuddin Ahmed Shibly, Kowshik Ahmed, and Shamim H Ripon, Convolutional Neural Networks and Ensemble Methods in Breast Cancer Prognosis, Chapter in book Computational Intelligence in Cancer Diagnosis: Progress and Challenges, Elsevier. (in press). [book link]
M. M. Rahman, A. M. Eti, J. R. Mokit, S. A. Mou, S. Sarkar and M. M. A. Shibly, "A Reproducible Benchmark for Prompt Injection Vulnerability Assessment in Small-To-Medium Language Models," 2025 28th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2025, pp. 1-6, doi: https://doi.org/10.1109/ICCIT68739.2025.11490549.
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
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.
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.
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.
M. O. Khaium, S. A. Sifat, S. T. Maliha and M. M. A. Shibly, "Assessing Cybersecurity Awareness and Legal Literacy in Bangladesh," 2023 IEEE 9th International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), Thiruvananthapuram, India, 2023, pp. 422-427, doi: 10.1109/WIECON-ECE60392.2023.10456446.
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]
Shibly M.M.A., Tisha T.A., Mazumder M.M.I. (2021) Predicting Early Readmission of Diabetic Patients: Toward Interpretable Models. In: Bindhu V., Tavares J.M.R.S., Boulogeorgos AA.A., Vuppalapati C. (eds) International Conference on Communication, Computing and Electronics Systems. Lecture Notes in Electrical Engineering, vol 733. Springer, Singapore. https://doi.org/10.1007/978-981-33-4909-4_14 [pdf]
Mir Moynuddin Ahmed Shibly, Tahmina Akter Tisha, Md. Kamrul Islam, and Md. Mohsin Uddin. 2020. Transfer Learning in Classifying Prescriptions and Keyword-based Medical Notes. In Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services (iiWAS '20). Association for Computing Machinery, New York, NY, USA, 82–90. DOI: https://doi.org/10.1145/3428757.3429139 [pdf]
K. Ahmed, S. A. Sony, T. Tanjimat, M. M. Ahmed Shibly, M. Rahman and T. Jabid, “Cone Based Tree to Improve Ray Tracing,” 2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), 2021, pp. 709-714, doi: https://doi.org/10.1109/ICCCIS51004.2021.9397073 [pdf]
TA Tani, MMA Shibly, S Ripon, “A Deep Convolutional Generative Adversarial Network Based Model to Analyze Histopathological Breast Cancer Images”. International Conference on Machine Intelligence & Data Science Applications (MIDAS2021). (accepted).