
Umair Mohammad
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 IdahoSteinmetz Hall 210
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DEPARTMENT CHAIR:
Professor Jennifer Currey
212 Steinmetz Hall
Email: ecbechair@union.edu
Associate Chair:
Professor Takashi Buma
209 Steinmetz Hall
Email: ecbechair@union.edu
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