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 2112

Electrical Devices & Systems I

Undergraduate

ECE 3822

Engineering Computation II

Undergraduate

ECE 3824

Engineering Computation III

Undergraduate

ECE 5033

Probability and Random Processes

Graduate

ENGR 9185

Experience in Engineering Profession I

Graduate

BIOE 0844

The Bionic Human

Undergraduate

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.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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

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

  • 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

  • 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

  • Napoli, A., Glass, S.M., Tucker, C., & Obeid, I. (2017). The Automated Assessment of Postural Stability: Balance Detection Algorithm. Ann Biomed Eng, 45(12), pp. 2784-2793. United States. 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • Tiwari, E., Lemay, M.A., Braverman, A.S., Obeid, I., Barbe, M.F., & Ruggieri, M.R. (2016). AB320. SPR-47 Monitoring nerve activity during bladder filling in a rat model. Translational Andrology and Urology, 5(Suppl 2), p. ab320. doi: 10.21037/tau.2016.s320

  • Yang, S., López, S., Golmohammadi, M., Obeid, I., & Picone, J. (2016). SEMI-AUTOMATED ANNOTATION OF SIGNAL EVENTS IN CLINICAL EEG DATA. IEEE Signal Process Med Biol Symp, 2016. United States. doi: 10.1109/SPMB.2016.7846855

  • López, S., Gross, A., Yang, S., Golmohammadi, M., Obeid, I., & Picone, J. (2016). AN ANALYSIS OF TWO COMMON REFERENCE POINTS FOR EEGS. IEEE Signal Process Med Biol Symp, 2016. United States. doi: 10.1109/SPMB.2016.7846854

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

  • Ward, C., Picone, J., & Obeid, I. (2016). Applications of UBMs and I-vectors in EEG subject verification. Annu Int Conf IEEE Eng Med Biol Soc, 2016, pp. 748-751. United States. doi: 10.1109/EMBC.2016.7590810

  • 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. J Cell Biochem, 117(3), pp. 559-565. United States. 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

  • 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

  • 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

  • Obeid, I. & Picone, J. (2016). The Temple University Hospital EEG Data Corpus. Front Neurosci, 10, p. 196. Switzerland. doi: 10.3389/fnins.2016.00196

  • López, S., Suarez, G., Jungreis, D., Obeid, I., & Picone, J. (2015). Automated Identification of Abnormal Adult EEGs. IEEE Signal Process Med Biol Symp, 2015. United States. doi: 10.1109/SPMB.2015.7405423

  • Harati, A., Golmohammadi, M., Lopez, S., Obeid, I., & Picone, J. (2015). Improved EEG Event Classification Using Differential Energy. IEEE Signal Process Med Biol Symp, 2015. United States. doi: 10.1109/SPMB.2015.7405421

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

  • 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

  • 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

  • Napoli, A., Xie, J., & Obeid, I. (2014). Understanding the temporal evolution of neuronal connectivity in cultured networks using statistical analysis. BMC Neurosci, 15, p. 17. England. doi: 10.1186/1471-2202-15-17

  • Dave, P., Obeid, I., & Tucker, C. (2014). Automated system for balance error scoring. BIODEVICES 2014 - 7th Int. Conference on Biomedical Electronics and Devices, Proceedings; Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014, pp. 329-333. doi: 10.5220/0004951403290333

  • Harati, A., Choi, S., Tabrizi, M., Obeid, I., Picone, J., & Jacobson, M.P. (2013). The Temple University Hospital EEG corpus. 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings, pp. 29-32. doi: 10.1109/GlobalSIP.2013.6736803

  • Napoli, A. & Obeid, I. (2013). Learning cultured neuronal network evolution using false discovery rate analysis. Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC, pp. 25-26. doi: 10.1109/NEBEC.2013.22

  • Elaraby, N. & Obeid, I. (2012). A model design of a 2560-channel neural spike detection platform. 2012 International Conference on Reconfigurable Computing and FPGAs, ReConFig 2012. doi: 10.1109/ReConFig.2012.6416762

  • Napoli, A., Darvish, K., & Obeid, I. (2012). Assessing traumatic brain injuries using EEG power spectral analysis and instantaneous phase. 2012 38th Annual Northeast Bioengineering Conference, NEBEC 2012, pp. 3-4. doi: 10.1109/NEBC.2012.6206935

  • Obeid, I. (2012). Welcome. 2012 38th Annual Northeast Bioengineering Conference, NEBEC 2012. doi: 10.1109/NEBC.2012.6206929

  • Napoli, A., Barbe, M., Darvish, K., & Obeid, I. (2012). Assessing traumatic brain injuries using EEG power spectral analysis and instantaneous phase. Annu Int Conf IEEE Eng Med Biol Soc, 2012, pp. 4692-4695. United States. doi: 10.1109/EMBC.2012.6347014

  • Napoli, A. & Obeid, I. (2011). Combined Common Spatial Pattern and spectral filtering for EEG-based BCIs. 2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011, pp. 449-452. doi: 10.1109/NER.2011.5910583

  • Balasubramanian, K. & Obeid, I. (2011). Fuzzy logic-based spike sorting system. J Neurosci Methods, 198(1), pp. 125-134. Netherlands. doi: 10.1016/j.jneumeth.2011.03.016

  • Balasubramanian, K. & Obeid, I. (2011). Massively parallel neural signal processing: System-on-Chip design with FPGAs. Annu Int Conf IEEE Eng Med Biol Soc, 2011, pp. 4609-4612. United States. doi: 10.1109/IEMBS.2011.6091141

  • Mountney, J., Obeid, I., & Silage, D. (2011). Modular particle filtering FPGA hardware architecture for brain machine interfaces. Annu Int Conf IEEE Eng Med Biol Soc, 2011, pp. 4617-4620. United States. doi: 10.1109/IEMBS.2011.6091143

  • Obeid, I., Veraart, C., & Delbeke, J. (2010). Estimation of phosphene spatial variability for visual prosthesis applications. Artif Organs, 34(5), pp. 358-365. United States. doi: 10.1111/j.1525-1594.2009.00878.x

  • Balasubramanian, K. & Obeid, I. (2010). Reconfigurable embedded system architecture for next-generation Neural Signal Processing. Annu Int Conf IEEE Eng Med Biol Soc, 2010, pp. 1691-1694. United States. doi: 10.1109/IEMBS.2010.5626833

  • Mountney, J., Silage, D., & Obeid, I. (2010). Parallel field programmable gate array particle filtering architecture for real-time neural signal processing. Annu Int Conf IEEE Eng Med Biol Soc, 2010, pp. 2674-2677. United States. doi: 10.1109/IEMBS.2010.5626626

  • Mountney, J., Sobel, M., & Obeid, I. (2009). Bayesian auxiliary particle filters for estimating neural tuning parameters. Annu Int Conf IEEE Eng Med Biol Soc, 2009, pp. 5705-5708. United States. doi: 10.1109/IEMBS.2009.5332657

  • Barakat, N. & Obeid, I. (2008). Analog tetrode adaptive spike detector. Proceedings - 2008 International Symposium on Microelectronics, IMAPS 2008, pp. 271-274.

  • Obeid, I. (2007). Comparison of spike detectors based on simultaneous intracellular and extracellular recordings. Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering, pp. 410-413. doi: 10.1109/CNE.2007.369696

  • Rizk, M., Obeid, I., Callender, S.H., & Wolf, P.D. (2007). A single-chip signal processing and telemetry engine for an implantable 96-channel neural data acquisition system. J Neural Eng, 4(3), pp. 309-321. England. doi: 10.1088/1741-2560/4/3/016

  • Ghnaimat, M., Aldweri, M., Hijazi, A., Shawabkeh, J., Obeid, I., Magableh, H., & Adayat, S. (2005). Preoperative skin traction for fractures of the proximal femur. Journal of the Bahrain Medical Society, 17(4), pp. 240-242.

  • Delbeke, J., Brelen, M., Obeid, I., & Veraart, C. (2005). An intra-orbital alternative for the optic nerve visual prosthesis. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 46. Retrieved from http://gateway.webofknowledge.com/

  • Obeid, I., Veraart, C., Wanet-Defalque, M.C., Dekeukelaere, G., & Delbeke, J. (2005). Effects of concurrent stimuli on phosphene characteristics in an optic nerve visual prosthesis. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 46. Retrieved from http://gateway.webofknowledge.com/

  • Obeid, I. & Wolf, P.D. (2004). Evaluation of spike-detection algorithms for a brain-machine interface application. IEEE Trans Biomed Eng, 51(6), pp. 905-911. United States. doi: 10.1109/TBME.2004.826683

  • Obeid, I., Nicolelis, M.A.L., & Wolf, P.D. (2004). A multichannel telemetry system for single unit neural recordings. J Neurosci Methods, 133(1-2), pp. 33-38. Netherlands. doi: 10.1016/j.jneumeth.2003.09.023

  • Obeid, I., Nicolelis, M.A.L., & Wolf, P.D. (2004). A low power multichannel analog front end for portable neural signal recordings. J Neurosci Methods, 133(1-2), pp. 27-32. Netherlands. doi: 10.1016/j.jneumeth.2003.09.024

  • Obeid, I., Morizio, J.C., Moxon, K.A., Nicolelis, M.A.L., & Wolf, P.D. (2003). Two multichannel integrated circuits for neural recording and signal processing. IEEE Trans Biomed Eng, 50(2), pp. 255-258. United States. doi: 10.1109/TBME.2002.807643

  • Morizio, J., Won, D., Obeid, I., Bossetti, C., Nicolelis, M., & Wolf, P. (2003). 16-channel neural pre-conditioning device. International IEEE/EMBS Conference on Neural Engineering, NER, 2003-January, pp. 104-107. doi: 10.1109/CNE.2003.1196767

  • Won, D.S., Obeid, I., Morizio, J.C., Nicolelis, M., & Wolf, P.D. (2002). A multichannel CMOS analog front end IC for neural recordings. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 3, pp. 2070-2071.

  • Niebur, E., Elhilali, M., Obeid, I., Werfel, J., Blanchard, M., Frasca, M., Ghose, K., Hofstoetter, C., Indiveri, G., & Tilden, M.W. (2001). Research, robots, and reality: A statement on current trends in biorobotics. Behav Brain Sci, 24(6), pp. 1072-1073. England. doi: 10.1017/S0140525X01450126