Biography
Dr. Obeid is an Associate Professor of Electrical and Computer Engineering with a secondary appointment in Bioengineering. His research focuses on neural and biomedical signal processing. Applications include brain computer interfaces, traumatic brain injury, virtual reality for cognitive and physical therapy, and neurofeedback.
Dr. Obeid is a recipient of the National Science Foundation CAREER Award as well as a Lindback Award for distinguished teaching. He has been funded by NSF, NIH, and DARPA, amongst others.
Research Interests
- Neural engineering
- Neural signal processing
- Biomedical signal processing
- Biomedical data analytics
- Neurofeedback
Courses Taught
Number | Name | Level |
|---|---|---|
ECE 3822 | Engineering Computation II | Undergraduate |
ECE 3824 | Engineering Computation III | Undergraduate |
ENGR 2011 | Engineering Analysis & Applications | Undergraduate |
ECE 5033 | Probability and Random Processes | Graduate |
ENGR 9185 | Experience in Engineering Profession I | Graduate |
Selected Publications
Featured
Glass, S.M., Napoli, A., Thompson, E.D., Obeid, I., & Tucker, C.A. (2019). Validity of an Automated Balance Error Scoring System. J Appl Biomech, 35(1), 32-36. United States. 10.1123/jab.2018-0056
Recent
Han, I., Obeid, I., & Greco, D. (2023). Multimodal Learning Analytics and Neurofeedback for Optimizing Online Learners’ Self-Regulation. Technology, Knowledge and Learning, 28(4), 1937-1943. Springer Science and Business Media LLC. doi: 10.1007/s10758-023-09675-5.
Roy, S., Kiral, I., Mirmomeni, M., Mummert, T., Braz, A., Tsay, J., Tang, J., Asif, U., Schaffter, T., Ahsen, M.E., Iwamori, T., Yanagisawa, H., Poonawala, H., Madan, P., Qin, Y., Picone, J., Obeid, I., Marques, B.D.A., Maetschke, S., Khalaf, R., Rosen-Zvi, M., Stolovitzky, G., Harrer, S., & Consortium, I.E. (2021). Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography data. EBioMedicine, 66, 103275. Netherlands. 10.1016/j.ebiom.2021.103275
Ward, C. & Obeid, I. (2019). Application of identity vectors for EEG classification. J Neurosci Methods, 311, 338-350. Netherlands. 10.1016/j.jneumeth.2018.09.015
Golmohammadi, M., Torbati, A.H.H.N., Diego, S.L.d., Obeid, I., & Picone, J. (2019). Automatic Analysis of EEGs Using Big Data and Hybrid Deep Learning Architectures. Front Hum Neurosci, 13, 76. Switzerland. 10.3389/fnhum.2019.00076