Dr. Mahfuzur Rahman's interest include embedded systems and edge computing. His research focuses on developing wearable devices, multimodal sensing technologies, and resource-constraint edge AI integration. He enjoys teaching variety of courses including Digital System Design, Embedded System, and Circuits and Systems.
Academic Degrees
- PhD, Texas Tech University, 2025
- BS, Rajshahi University of Engineering and Technology, 2017
Publications & Presentation Highlights
- Rahman, M. and Morshed, B.I., 2025. Resource-Constrained On-Chip AI Classifier for Beat-by-Beat Real-Time Arrhythmia Detection with an ECG Wearable System. Electronics, 14(13), p.2654.
- Rahman, M. and Morshed, B.I., 2022, May. Implementation of Intermediate Passive Loop Coils to Extend the Range of Qi Wireless Charging. In IEEE MTT-S International Microwave Biomedical Conference (IMBioC).
Research Interests
- Wearable Design
- Non-invasive Senor Design
- Edge Computing
Teaching Interests
- Digital System Design
- Embedded System
- Computer Architecture
- Edge Computing