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.
- PhD. Biomedical Engineering, Duke University, 2004
- M.Eng. Electrical and Computer Engineering, MIT, 1998
- B.S. Electrical and Computer Engineering, MIT, 1997
- Associate Professor, Temple University, 2012-present.
- Assistant Professor, Temple University, 2006-2012.
- Balasubramanian K, Obeid I (2011) “Fuzzy logic-based spike sorting system,” J Neurosci Methods, 198(1).
- Obeid I, Veraart C, Delbeke J (2010) “Estimation of phosphene spatial variability for visual prosthesis applications,” Artif Organs, 34(5).
- Napoli A, Barbe M, Darvish K, Obeid I (2012) “Assessing Traumatic Brain Injuries Using EEG Power Spectral Analysis and Instantaneous Phase,” Conf Proc IEEE Eng Med Biol Soc, San Diego, CA.
- Napoli A, Obeid I (2012) “Learning Cultured Neural Network Temporal Evolution using Graph Theory,” Biomed Engr Soc Conf, Atlanta, GA.
- Balasubramanian K, Obeid I (2011) “Massively Parallel Neural Signal Processing: System-on-Chip Design with FPGAs,” Conf Proc IEEE Eng Med Biol Soc, Boston, MA.
- Mountney J, Obeid I, Silage D (2011) “Modular Particle Filtering FPGA Hardware Architecture for Brain Machine Interfaces,” Conf Proc IEEE Eng Med Biol Soc, Boston, MA.
- Neural Engineering
- Neural Interfaces
- National Science Foundation