M.Sc. in Computer Science and Engineering
Hajee Mohammad Danesh Science and Technology University (HSTU), 
Dinajpur-5200.

B.Sc. (Engineering) in Computer Science and Engineering
Hajee Mohammad Danesh Science and Technology University (HSTU), 
Dinajpur-5200.

• AI Education by Prof. Dr. Imran Mahmud, Professor and Head, Department of Software Engineering
• Outcome-Based Education (OBE) & Bloom’s Taxonomy by Dr. Md. Dara Abdus Satter - Daffodil International University
• Introducing the IQAC Institutional Quality Assurance Cell, facilitated by Professor Dr. A. K. M. Fazlul Haque, Director, IQAC, DIU
• Leadership & Skill Development by Dr. Md. Sabur Khan, Chairman, BoT, DIU

• Computer Fundamental
• Algorithm Design & Analysis
• Data Structure
• Computer Architecture 
• Data Communication
• Structured programming
• Object Oriented Programming
• Introduction to Machine Learning

Journals 

1. Mahmudul Hasan, Md. Mahedi Hassan, Sumya Akter, Petr Hajek, Mohammad Zoynul Abedin, Advances in Explainable Big Data Analytics for Enhanced Cybersecurity. Inf Syst Front (2026). https://doi.org/10.1007/s10796-026-10701-x 
2. Mahmudul Hassan, Md. Fazle Rabbi, Md. Amir Hamza, Kanij Fatema and Md. Mahedi Hassan (2025). Enhancing flood forecasting performance using effective and transparent explainable hybrid deep learning model. Earth Science Informatics, 17(1), 743-764. https://doi.org/10.1007/s12145-024-01188-4 
3. Md. Mahedi Hassan, Arif Hossen, Yeasin Arafat, Md Nurunnabi Sarker, Md Hossain Jamil, Ayesha Siddika, 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.  
   DOI: 10.52549/ijeei.v13i3.6667 
4. Noshin Un Noor, Mohammad Anwar Hossain, Mosarrof Hossain, Md Rakibul Hasdan, Mohammad Al Amin, Shamsun Nahar, Ahsan Ullah, Md. Mahedi Hassan (2025). Advanced skin disease diagnosis and treatment: Leveraging convolutional neural networks for image-based prediction and comprehensive health assistance. Open Journal of Medical Imaging, 14(2), 65-83. https://doi.org/10.4236/ojmi.2024.142006
5. Md. Mahedi Hassan, Arif Hossen, Md Nurunnabi Sarker, Yeasin Arafat, Aslam Khan, Shafiqul Islam Talukder, Bikash Kumar Saha Roy (2025). An Empirical Analysis on Renewable Energy: Biogas Production Prediction Using Machine Learning. Journal of Power and Energy Engineering, 13(7), 40-59.

Conferences

1. Mahmudul Hasan, Md. Mahmudul Islam, Sad Wadi Sajid, Md. Mahedi Hassan (2022). 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. 1-6). 

2. Md. Mahedi Hassan, Md. Fazle Rabbi, Mahmudul Hasan and Bhagyobandhu Roy (2023). An ensemble machine learning approach to classify Parkinson's disease from voice signal. In 2023 2nd International Conference on Big Data, IoT and Machine Learning (BIM) (pp. 1-6). 
3. Al-Momin Faruk, Hasan Al Faraby, Ahad Abdul, Afsana Rimi and Md. Mahedi Hassan (2023). 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). 
4. Md. Shahariar Sarkar, Md. Ashik Sarker Lifat, Md. Rakibul Hasan, Md. Mahedi Hassan (2024). 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). 
5. Md. Mahedi Hassan, Md. Fahim Abrar, Sumaya Kakon, Arif Hossen, Yeasin Arafat (2024). 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. 1-6). 
6. Md. Mahedi Hassan, Ahsan Ullah, Anup Chakraborty, Nurunnabi Sarker, Bikash Kumar Saha Roy (2024). 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. 1-6). 
7. Ayesha Siddika, Tapu Rayhan, Md. Shahariar Sarkar, Md. Mahedi Hassan (2025). Emotion recognition and analysis system (ERAS): Leveraging advanced AI for real-time emotion detection in social media content. In 2025 4th International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 344-349). 
8. Md. Mahedi Hassan, Noshin Un Noor, Mohammad Anwar Hossain, Md. Shahriar Sarkar, Ayesha Siddika, Sagar Kumer Ghosh (2025). Enhancing drinking water quality assessment: An exploration of elemental composition for drinkable water. In 2025 4th International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 338-343). 
9. Md Ashik Sarker Lifat, Md Shahariar Sarkar, Kazi Al Ashfaq, Md. Mahedi Hassan, Rehana Karim, Rakibul Hasan (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). 
10. Mohammad Anwar Hossain, Noshin Un Noor, Md. Mahedi Hassan, Ahsan Ullah, Shamsun Nahar, Md Minhajul Islam, Mosammad Marufa Yasmin (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). 
11. Md Tahsin Hassan, Saima Sultana Swarna, Md. Mahedi Hassan, Ayesha Siddika, Md Tanzim Hossain, Most Sunzida Sultana Joti (2025) A Comprehensive XAI-Driven Ensemble Learning Framework Integrating Adaptive Synthetic Sampling for Robust Prediction of Mental Illness. In: Proceedings of the 28th International Conference on Computer and Information Technology (ICCIT).

Book Chapters

1. Md. Mahedi Hassan, Mahira Shamim, Mahmudul Hasan, Md Amir Hamja, Kanij Fatema, Sudipto Roy Pritom (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). 
2. Mahmudul Hasan, Nusrat Afrin Shilpa, Ashrafuzzaman Sohag, Md. Mahedi Hassan, Md Jahangir Alam Siddikee (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). 
3. Md. Mahedi Hassan, Md. Fahim Abrar and Mahmudul Hasan (2023). Explainable AI-driven machine learning framework for cybersecurity anomaly detection. In Cyber security and business intelligence (pp. 197- 219). 
4. Mahmudul Hassan, Md. Mahedi Hassan, Md. Faisal-E-Alam and Nazrin Akter(2023). Empirical analysis of regression techniques to predict the cybersecurity salary. In Cyber security and business intelligence (pp. 65- 84). 

• Artificial Intelligence 
• Machine Learning 
• Deep Learning 
• Computer Vision 
• Cybersecurity 
• Secure Software Engineering 
• Reinforcement Learning 
• Data Science
• Bioinformatics 

• Campus Ambassador (English Olympiad).
• “Service at the Club” from Rotaract Club of HSTU.
• Game animator, ICT Division, 15-12-2018.

Lecturer (08/09/2023-31/12/2025)
Computer Science and Engineering Department, 
World University of Bangladesh, Bangladesh.

Research Assistant (10/01/2022 – 30/06/2023) 
Department of CSE,
Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur.