Labs: Signal and Information Processing (ISIP) Lab

Research Interests

  • Machine Learning

Courses Taught

Number

Name

Level

ENGR 2011

Engineering Analysis & Applications

Undergraduate

ENGR 2013

Engineering Analysis and Applications Lab

Undergraduate

ECE 1111

Engineering Computation I

Undergraduate

ECE 4527

Introduction to Machine Learning and Pattern Recognition

Undergraduate

ECE 8527

Introduction to Machine Learning and Pattern Recognition

Graduate

Selected Publications

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • Rahman, S., Miranda, M., Obeid, I., & Picone, J. (2019). Software and Data Resources to Advance Machine Learning Research in Electroencephalography. 2019 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2019 - Proceedings. doi: 10.1109/SPMB47826.2019.9037851

  • Hunt, I., Husain, S., Simon, J., Obeid, I., & Picone, J. (2019). Recent Advances in the Temple University Digital Pathology Corpus. 2019 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2019 - Proceedings. doi: 10.1109/SPMB47826.2019.9037859

  • Jean-Paul, S., Elseify, T., Obeid, I., & Picone, J. (2019). Issues in the Reproducibility of Deep Learning Results. 2019 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2019 - Proceedings. doi: 10.1109/SPMB47826.2019.9037840

  • Capp, N., Campbell, C., Elseify, T., Obeid, I., & Picone, J. (2019). Optimizing EEG Visualization Through Remote Data Retrieval. 2018 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2018 - Proceedings. doi: 10.1109/SPMB.2018.8615613

  • Shah, V., Anstotz, R., Obeid, I., & Picone, J. (2019). Adapting an Automatic Speech Recognition System to Event Classification of Electroencephalograms 1. 2018 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2018 - Proceedings. doi: 10.1109/SPMB.2018.8615625

  • Houser, D., Shadhin, G., Anstotz, R., Campbell, C., Obeid, I., Picone, J., Farkas, T., Persidsky, Y., & Jhala, N. (2019). The Temple University Hospital Digital Pathology Corpus. 2018 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2018 - Proceedings. doi: 10.1109/SPMB.2018.8615619

  • Ferrell, S., Weltin, E.V., Obeid, I., & Picone, J. (2019). Open Source Resources to Advance EEG Research. 2018 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2018 - Proceedings. doi: 10.1109/SPMB.2018.8615622

  • Campbell, C., Mecca, N., Duong, T., Obeid, I., & Picone, J. (2019). Expanding an HPC Cluster to Support the Computational Demands of Digital Pathology. 2018 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2018 - Proceedings. doi: 10.1109/SPMB.2018.8615614

  • Golmohammadi, M., Ziyabari, S., Shah, V., Obeid, I., & Picone, J. (2019). Deep Architectures for Spatio-Temporal Modeling: Automated Seizure Detection in Scalp EEGs. Proceedings - 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, pp. 745-750. doi: 10.1109/ICMLA.2018.00118

  • Jungreis, D., Capp, N., Golmohammadi, M., & Picone, J. (2019). Predicting Endogenous Bank Health from FDIC Statistics on Depository Institutions Using Deep Learning. Advances in Intelligent Systems and Computing, 997, pp. 563-572. doi: 10.1007/978-3-030-22871-2_38

  • Golmohammadi, M., Torbati, A.H.H.N., Diego, S.L.d.e., Obeid, I., & Picone, J. (2019). Automatic Analysis of EEGs Using Big Data and Hybrid Deep Learning Architectures. Front Hum Neurosci, 13, p. 76. Switzerland. doi: 10.3389/fnhum.2019.00076

  • Saleheen, F., Wang, Z., Picone, J., Butz, B.P., & Won, C.H. (2018). Efficacy of a virtual teaching assistant in an open laboratory environment for electric circuits. Advances in Engineering Education, 6(3), pp. 1-27.

  • Shah, V., Weltin, E.v., Lopez, S., McHugh, J.R., Veloso, L., Golmohammadi, M., Obeid, I., & Picone, J. (2018). The Temple University Hospital Seizure Detection Corpus. Front Neuroinform, 12, p. 83. Switzerland. doi: 10.3389/fninf.2018.00083