Electrical, Computer and Biomedical Engineering Department
Umair Mohammad

Umair Mohammad

Job Title
Assistant Professor of Computer Engineering
Steinmetz Hall 109

Areas of expertise

Edge Computing, Wireless Networks, Machine Learning (ML) and Electroencephalography (EEG) Analysis

Research interests

EEG Analysis with ML, Epileptic Seizure Prediction, ML Over Wireless Edge and Federated Learning

Teaching interests

Computer Networks, Signals and Systems, Circuits and Systems, Communication Engineering and Applied Deep Learning

Publications

1. U. Mohammad and F. Saeed, "MLSPred-bench: Transforming electroencephalography (EEG) datasets into machine learning-ready epileptic seizure prediction benchmarks," MethodsX, vol. 15, 103574, pp. 1-15, Dec. 2025. [Online]. Available: Link

2. U. Mohammad, S. Sorour and M. Hefeida, "Energy Aware Task Allocation for Semi-Asynchronous Mobile Edge Learning," in IEEE Transactions on Green Communications and Networking, vol. 7, no. 4, pp. 1766-1777, Dec. 2023. [Online]. Available: Link

3. U. Mohammad, S. Sorour and M. Hefeida, "Dynamic Task Allocation for Mobile Edge Learning," in IEEE Transactions on Mobile Computing, vol. 22, no. 12, pp. 6860-6873, Dec. 2023. [Online]. Available: Link

4. A. Ahmad Tarar, U. Mohammad, and S. K. Srivastava, “Wearable Skin Sensors and Their Challenges: A Review of Transdermal, Optical, and Mechanical Sensors,” Biosensors, vol. 10, no. 6, p. 56, May 2020. Link

Additional media

Distinctions

2024 American Epilepsy Society (AES) Fellows Award

2023 Knight Foundation Baptist Health Healthcare Technology Innovation Fellow

Academic credentials

B.S., King Fahd University of Petroleum & Minerals; M.S., King Fahd University of Petroleum & Minerals; Ph.D., University of Idaho