Biography

Dr. Obeid is an Associate Professor of Electrical and Computer Engineering with a secondary appointment in Bioengineering. His research focuses recording and decoding signals from neural tissue. This includes applications for brain computer interfaces, brain-in-a-dish studies, and traumatic brain injury. His lab has made extensive use of Field Programmable Gate Array (FPGA) technology to make and decode massively parallel neural recordings. Dr. Obeid is a recipient of the National Science Foundation CAREER Award as well as a Lindback Award for distinguished teaching.

Research Interests

  • Recording & Decoding Signals from Neural Tissue
  • Applications for Brain Computer Interfaces
  • Brain-in-a-Dish Studies
  • and Traumatic Brain Injury
  • Field Programmable Gate Array (FPGA) Technology to Make and Decode Massively Parallel Neural Recordings

Courses Taught

Number

Name

Level

ECE 3512

Signals: Continuous and Discrete

Undergraduate

ECE 3822

Engineering Computation II

Undergraduate

ECE 3912

Honors Signals: Continuous and Discrete

Undergraduate

ECE 5033

Probability and Random Processes

Graduate

Selected Publications

  • 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

  • Kane, Z., Stecco, E., Napoli, A., Tucker, C., & Obeid, I. (2019). The Instrumented Multitask Assessment System (IMAS). 2019 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2019 - Proceedings. doi: 10.1109/SPMB47826.2019.9037841

  • 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. Frontiers in Human Neuroscience, 13. doi: 10.3389/fnhum.2019.00076

  • Glass, S.M., Napoli, A., Thompson, E.D., Obeid, I., & Tucker, C.A. (2019). Validity of an automated balance error scoring system. Journal of Applied Biomechanics, 35(1), pp. 32-36. doi: 10.1123/jab.2018-0056

  • 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

  • Ward, C. & Obeid, I. (2019). Application of identity vectors for EEG classification. Journal of Neuroscience Methods, 311, pp. 338-350. doi: 10.1016/j.jneumeth.2018.09.015

  • 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. Frontiers in Neuroinformatics, 12. doi: 10.3389/fninf.2018.00083

  • Bemal, V.E., Satterthwaite, N.A., Napoli, A., Glass, S.M., Tucker, C.A., & Obeid, I. (2018). Kinect v2 accuracy as a body segment measuring tool. 2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings, 2018-January, pp. 1-3. doi: 10.1109/SPMB.2017.8257050

  • Napoli, A., Glass, S.M., Tucker, C., & Obeid, I. (2017). The Automated Assessment of Postural Stability: Balance Detection Algorithm. Annals of Biomedical Engineering, 45(12), pp. 2784-2793. doi: 10.1007/s10439-017-1911-8

  • Napoli, A., Glass, S., Ward, C., Tucker, C., & Obeid, I. (2017). Performance analysis of a generalized motion capture system using microsoft kinect 2.0 Biomedical Signal Processing and Control, 38, pp. 265-280. doi: 10.1016/j.bspc.2017.06.006

  • Capp, N., Krome, E., Obeid, I., & Picone, J. (2017). Facilitating the annotation of seizure events through an extensible visualization tool. 2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings, 2018-January, pp. 1-3. doi: 10.1109/SPMB.2017.8257043

  • Veloso, L., McHugh, J., Weltin, E.V., Lopez, S., Obeid, I., & Picone, J. (2017). Big data resources for EEGs: Enabling deep learning research. 2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings, 2018-January, pp. 1-3. doi: 10.1109/SPMB.2017.8257044

  • Weltin, E.V., Ahsan, T., Shah, V., Jamshed, D., Golmohammadi, M., Obeid, I., & Picone, J. (2017). Electroencephalographic slowing: A primary source of error in automatic seizure detection. 2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings, 2018-January, pp. 1-5. doi: 10.1109/SPMB.2017.8257018

  • Shah, V., Golmohammadi, M., Ziyabari, S., Weltin, E.V., Obeid, I., & Picone, J. (2017). Optimizing channel selection for seizure detection. 2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings, 2018-January, pp. 1-5. doi: 10.1109/SPMB.2017.8257019

  • Golmohammadi, M., Ziyabari, S., Shah, V., Weltin, E.V., Campbell, C., Obeid, I., & Picone, J. (2017). Gated recurrent networks for seizure detection. 2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings, 2018-January, pp. 1-5. doi: 10.1109/SPMB.2017.8257020

  • Campbell, C., Mecca, N., Obeid, I., & Picone, J. (2017). The Neuronix HPC cluster: Cluster management using free and open source software tools. 2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings, 2018-January, pp. 1-3. doi: 10.1109/SPMB.2017.8257042

  • Thiess, M., Krome, E., Golmohammadi, M., Obeid, I., & Picone, J. (2017). Enhanced visualizations for improved real-time EEG monitoring. 2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings. doi: 10.1109/SPMB.2016.7846868

  • Yang, S., Lopez, S., Golmohammadi, M., Obeid, I., & Picone, J. (2017). Semi-automated annotation of signal events in clinical EEG data. 2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings. doi: 10.1109/SPMB.2016.7846855

  • Ward, C. & Obeid, I. (2017). Feasibility of Identity Vectors for use as subject verification and cohort retrieval of electroencephalograms. 2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings. doi: 10.1109/SPMB.2016.7846853

  • Somaru, P., Obeid, I., & Picone, J. (2017). Low-cost high-performance computing via consumer GPUs. 2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings. doi: 10.1109/SPMB.2016.7846867

  • Lopez, S., Gross, A., Yang, S., Golmohammadi, M., Obeid, I., & Picone, J. (2017). An analysis of two common reference points for EEGS. 2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings. doi: 10.1109/SPMB.2016.7846854

  • Ward, C., Picone, J., & Obeid, I. (2016). Applications of UBMs and I-vectors in EEG subject verification. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2016-October, pp. 748-751. doi: 10.1109/EMBC.2016.7590810

  • Napoli, A., Ward, C.R., Glassd, S.M., Tucker, C., & Obeid, I. (2016). Automated assessment of postural stability system. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2016-October, pp. 6090-6093. doi: 10.1109/EMBC.2016.7592118

  • Napoli, A., Ward, C.R., Glass, S.M., Tucker, C., & Obeid, I. (2016). Automated assessment of postural stability system. Annu Int Conf IEEE Eng Med Biol Soc, 2016, pp. 6090-6093. United States. doi: 10.1109/EMBC.2016.7592118

  • Napoli, A. & Obeid, I. (2016). Comparative Analysis of Human and Rodent Brain Primary Neuronal Culture Spontaneous Activity Using Micro-Electrode Array Technology. Journal of Cellular Biochemistry, 117(3), pp. 559-565. doi: 10.1002/jcb.25312

  • Trejo, D., Obeid, I., & Picone, J. (2016). Affordable supercomputing using open source software. 2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings. doi: 10.1109/SPMB.2015.7405431

  • Moura, A., Lopez, S., Obeid, I., & Picone, J. (2016). A comparison of feature extraction methods for EEG signals. 2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings. doi: 10.1109/SPMB.2015.7405430

  • Lopez, S., Suarez, G., Jungreis, D., Obeid, I., & Picone, J. (2016). Automated identification of abnormal adult EEGs. 2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings. doi: 10.1109/SPMB.2015.7405423

  • Harati, A., Golmohammadi, M., Lopez, S., Obeid, I., & Picone, J. (2016). Improved EEG event classification using differential energy. 2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings. doi: 10.1109/SPMB.2015.7405421

  • Ward, C.R. & Obeid, I. (2016). Dynamic time warp distances as feedback for EEG feature density. 2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings. doi: 10.1109/SPMB.2015.7405419

  • Obeid, I. & Picone, J. (2016). The temple university hospital EEG data corpus. Frontiers in Neuroscience, 10(MAY). doi: 10.3389/fnins.2016.00196

  • Napoli, A. & Obeid, I. (2015). Investigating brain functional evolution and plasticity using microelectrode array technology. Brain Research Bulletin, 119, pp. 127-135. doi: 10.1016/j.brainresbull.2015.10.002

  • Harati, A., Lopez, S., Obeid, I., Picone, J., Jacobson, M.P., & Tobochnik, S. (2015). The TUH EEG CORPUS: A big data resource for automated EEG interpretation. 2014 IEEE Signal Processing in Medicine and Biology Symposium, IEEE SPMB 2014 - Proceedings. doi: 10.1109/SPMB.2014.7002953

  • Ward, C.R. & Obeid, I. (2015). Robust EEG separability of subject specific records via clustering and data driven metrics. 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015. doi: 10.1109/NEBEC.2015.7117063