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
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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.e.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, p. 103275. Netherlands. doi: 10.1016/j.ebiom.2021.103275
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Rahman, S., Hamid, A., Ochal, D., Obeid, I., & Picone, J. (2020). Improving the Quality of the TUSZ Corpus. 2020 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2020 - Proceedings. doi: 10.1109/SPMB50085.2020.9353635
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Hamid, A., Gagliano, K., Rahman, S., Tulin, N., Tchiong, V., Obeid, I., & Picone, J. (2020). The Temple University Artifact Corpus: An Annotated Corpus of EEG Artifacts. 2020 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2020 - Proceedings. doi: 10.1109/SPMB50085.2020.9353647
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Shawki, N., Elseify, T., Cap, T., Shah, V., Obeid, I., & Picone, J. (2020). A Deep Learning-Based Real-time Seizure Detection System. 2020 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2020 - Proceedings. doi: 10.1109/SPMB50085.2020.9353623
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Shah, V., Obeid, I., Picone, J., Ekladious, G., Iskander, R., & Roy, Y. (2020). Validation of Temporal Scoring Metrics for Automatic Seizure Detection. 2020 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2020 - Proceedings. doi: 10.1109/SPMB50085.2020.9353631
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Islam, S., Shah, V., Gidde, S., Hutapea, P., Song, S.H., Picone, J., & Kim, A. (2020). A Machine Learning Enabled Wireless Intracranial Brain Deformation Sensing System. IEEE Trans Biomed Eng, 67(12), pp. 3521-3530. United States. doi: 10.1109/TBME.2020.2990071