ORCID: https://orcid.org/0009-0001-2107-926X
Google Scholar: https://scholar.google.com/citations?user=aUUhXToAAAAJ&hl=en
Research Gate: https://www.researchgate.net/profile/Md-Hassan-165
Md. Mahedi Hassan is currently working as a Lecturer at CSE Department of World University of Bangladesh (WUB). He has completed his MSc in Computer Science and Engineering degree from Hajee Mohammad Danesh Science and Technology University, Dinajpur. Before that, he also completed his BSc (Engineering ) in Computer Science and Engineering degree from the same university. Beside the teaching profession he also has devoted himself in research activities. His focal interest is in Machine Learning (ML), Deep Learning (DL), Artificial Intelligence (AI), Cybersecurity and Data Science.
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.
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.
Hasan, M., Rabbi, M.F., Hamja, M.A. et al. Enhancing flood forecasting performance using effective and transparent explainable hybrid deep learning model. Earth Sci Inform 18, 417 (2025). https://doi.org/10.1007/s12145-025-01930-w
Noor, N. , Hossain, M. , Hossain, M. , Hasan, M. , Amin, M. , Nahar, S. , Ullah, A. and Hassan, M. (2025) Advanced Skin Disease Diagnosis and Treatment: Leveraging Convolutional Neural Networks for Image-Based Prediction and Comprehensive Health Assistance. Open Journal of Medical Imaging, 15, 1-29. doi: 10.4236/ojmi.2025.151001.
A. Siddika, T. Rayhan, M. S. Sarkar and M. M. Hassan, "Emotion Recognition and Analysis System (ERAS): Leveraging Advanced AI for real-time Emotion Detection in Social Media Content," 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-8, doi: 10.1109/ECCE64574.2025.11013817.
M. M. Hassan, N. Un Noor, M. A. Hossain, M. S. Sarkar, A. Siddika and S. K. Ghosh, "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, 2025, pp. 1-6, doi: 10.1109/ECCE64574.2025.11013463.
M. M. Hassan, M. Fahim Abrar, S. Kakon, A. Hossen and Y. Arafat, "Improving Loan Approval Decisions: The Impact of Data Balancing on the Classifier’s Performance in Predicting Borrower Reliability," 2024 27th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2024, pp. 1690-1695, doi: 10.1109/ICCIT64611.2024.11022094.
M. M. Hassan, A. Ullah, A. Chakraborty, N. Sarker and B. K. Saha Roy, "Enhancing The Cyber Security Using Ensemble Stacking Model For Phishing Sites Detection With Hyperparameter Tuning," 2024 27th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2024, pp. 1809-1814, doi: 10.1109/ICCIT64611.2024.11022560.
A. -M. Faruk, H. Al Faraby, A. Abdul, A. Rimi and M. M. Hassan, "Leveraging Spatial and Channel Attention in VGG16 for Efficient Tomato Leaf Disease Detection," 2023 26th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2023, pp. 1-6, doi: 10.1109/ICCIT60459.2023.10441384.
M. S. Sarkar, M. A. S. Lifat, R. Hasan and M. M. Hassan, "Discovering the Depths of Cotton Leaf Disease Detection: Integrating Hypertuned Residual Networks with GradCAM XAI for Enhanced Understanding and Diagnosis," 2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE), Gazipur, Bangladesh, 2024, pp. 1-6, doi: 10.1109/ICAEEE62219.2024.10561737.
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.
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.
