Research Interests
- Machine Learning
Courses Taught
Number | Name | Level |
|---|---|---|
ECE 1111 | Engineering Computation I | Undergraduate |
ECE 4527 | Introduction to Machine Learning and Pattern Recognition | Undergraduate |
ECE 4822 | Engineering Computation IV | Undergraduate |
ECE 5110 | Introduction to Machine Learning and Pattern Recognition | Graduate |
ECE 5110 | Special Topics: Introduction to Machine Learning & Pattern Recognition | Graduate |
ECE 8110 | Special Topics in Electrical and Computer Engineering | Graduate |
ECE 8527 | Introduction to Machine Learning and Pattern Recognition | Graduate |
Selected Publications
Recent
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
Islam, S., Shah, V., Gidde, S., Hutapea, P., Song, S., Picone, J., & Kim, A. (2020). A Machine Learning Enabled Wireless Intracranial Brain Deformation Sensing System. IEEE Trans Biomed Eng, 67(12), 3521-3530. United States. 10.1109/TBME.2020.2990071