Mahmud Naeem
Lecturer
Academic Qualifications:
1. BACHELOR OF SCIENCE IN ELECTRICAL AND COMPUTER ENGINEERING, Rajshahi University of Engineering & Technology (RUET).
2. HIGHER SECONDARY CERTIFICATE (HSC), Notre Dame College, Dhaka.
3. SECONDARY SCHOOL CERTIFICATE (SSC), Ideal School and College, Motijheel, Dhaka.
Professional Experience:
1. Lecturer, Department of CSE, Bangladesh University. (15, January, 2026- Present)
2.TRAINEE (INDUSTRIAL ATTACHMENT) – BJIT, DHAKA, BANGLADESH. (19, March, 2024 – 28, March, 2024)
Area of Interest
Python (computer programming), machine learning, Deep learning, Reinforcement Learning, MATLAB, Overleaf LaTex editor.
Research Work
1. 2025 – CURRENT: A Hybrid QdDA-RF Framework with Probabilistic Feature Augmentation for Power Transmission Line Fault Identification and Categorization-
Manuscript accepted for publication (First Author) in Lecture Notes in Networks and Systems published by Springer
and presented at 3rd International Conference on Big Data, IoT and Machine Learning (BIM 2025)
2. 2025 – CURRENT: SHAP-Interpretable QDA-RF Hybrid Model with Probabilistic Feature Augmentation for Transmission Line Fault Detection, Classification, and Performance Analysis Under Cyber Attack Scenarios-
Manuscript currently under preparation for journal submission. This is an extension of the original bachelor thesis that investigates the impact of False Data Injection (FDI) attacks on the performance of the cascaded QDA-RF pipeline.
2025: Enhancing Adult Income Prediction Using PSO-Tuned LightGBM and Explainable AI-
Authors: Shawon Tajwar Jahan; Hafsa Binte Kibria; Mahmud Naeem | Journal Name: 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN) | Volume, Issue and Pages: pp. 1-6, doi: 10.1109/ QPAIN66474.2025.11172107. | Publisher: IEEE