Assistant Professor
Md Mayenul Islam is an Assistant Professor in the Department of Electrical and Electronic Engineering at Rajshahi University of Engineering & Technology. He completed both his B.Sc. and M.Sc. in EEE from RUET with outstanding academic achievements. His research focuses on biomedical signal and image processing, explainable AI, and intelligent AI-driven healthcare systems. He has published in reputed IEEE venues, including the IEEE Journal of Biomedical and Health Informatics, and actively supervises undergraduate research in AI-driven biomedical applications.
Electrical & Electronic Engineering
Rajshahi University of Engineering & Technology
Electrical & Electronic Engineering
Rajshahi University of Engineering & Technology
Electrical & Electronic Engineering
North Bengal International University
Rajshahi University of Engineering & Technology (RUET)
Rajshahi University of Engineering & Technology
Govt. Science College, Tejgaon, Dhaka
Narayanganj Ideal School
| SL | Authors | Title | Publisher Details | Publication Year | Type |
| 1 | Khan, Shoeb; Islam, Md Mayenul | SleepNet: A Hybrid Deep Learning Approach for Sleep Stage Classification Using Electrocardiogram | 2025 28th International Conference on Computer and Information Technology (ICCIT), IEEE | 2026 | Conference |
| 2 | Md Mayenul Islam, Mohammod Abdul Motin, Sumaiya Kabir, and Dinesh Kumar | Poincaré Image Analysis of Short-Term Electrocardiogram for Detecting Atrial Fibrillation | IEEE Journal of Biomedical and Health Informatics | 2025 | Journal |
| 3 | Md Mayenul Islam, Sumaiya Kabir, and Mohammod Abdul Motin | Difference Poincaré Image Feature-Based Persistent Atrial Fibrillation Classification Using Short-Term Electrocardiograms | IEEE Sensors Letters | 2024 | Journal |
| 4 | M. A. Malek, M. A. G. Khan, M. M. Hasan, M. M. Islam and M. R. Islam | A new single-phase cycloconverter with reduced harmonics | Electrical Engineering (Springer) | 2023 | Journal |
| 5 | Md Mayenul Islam and Mohammod Abdul Motin | Detection of Persistent Atrial Fibrillation Using ECG Signal | 50th Computing in Cardiology (CinC), Atlanta, USA | 2023 | Conference |
| 6 | M. M. Islam and M. A. Motin | An automated approach for atrial fibrillation detection using electrocardiogram | IEEE | 2023 | Conference |
| 7 | M. S. K. Sakib, M. M. Islam and M. A. Motin | The investigation of heart rate variability for paroxysmal atrial fibrillation detection | IEEE | 2023 | Conference |
| 8 | M. M. Islam, M. A. G. Khan and M. A. Malek | Analysis of an IGBT Based AC Chopper Driving RL Load for Oscillation Free Output Voltage | IEEE | 2021 | Conference |
| 9 | M. A. Malek, M. A. G. Khan and M. M. Islam | An 18-Pulse Uncontrolled Star Rectifier for Input Line Current Harmonic Reduction | IEEE | 2019 | Conference |
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