Muhammad Fahim

Dr. Muhammad Fahim is a Lecturer in the School of Electronics, Electrical Engineering and Computer Science at Queen's University Belfast. His research focuses on AI-driven solutions for healthcare, including wearable sensor data analysis, deep learning models for healthcare platforms, and integrating intelligence into digital twins for societal impact. He specializes in multimodal sensor data, energy expenditure estimation, and activity recognition in smart homes.

His work spans projects such as TUDOR (Ubiquitous 3D Open Resilient Network) and MISO (Atmospheric Carbon Monitoring). He has been awarded the Queen's Merit Fellowship and SEDA Leading Undergraduate Programmes Certification. His research interests include edge intelligence, quantum-based models, and proactive health monitoring systems.

Dr. Fahim collaborates internationally and has contributed to over 60 publications in areas like smart healthcare systems, network security, and environmental modeling. He actively participates in academic activities, including PhD examinations and invited talks on AI and wearable computing.