Nabil H. Farhat
Professor Emeritus
Electrical and Systems Engineering (ESE)
Honors and Awards: Fellow IEEE, Fellow OSA, Lindback Award for Distinguished Teaching
Research Expertise: Neuroengineering | Neural Network
Nabil's interdisciplinary research interests are in corticonics (echoing electronics), where he combines known features of cortical organizations with concepts and tools from nonlinear dynamics, chaos, and information theory. Nabil works to decipher and model the complex way in which the cortex interacts with subcortical structures to produce the mechanisms that underlie higher-order brain function. The result, a testable macroscopic brain theory, is being used by Nabil and his students in the PennBrain project that offers distinct computational and hardware advantages over other similar endeavors.
Education:
PhD Electrical Engineering - University of Pennsylvania
MS Electrical Engineering - University of Tennessee
BS Electrical Engineering - Technion
Recent Publications 
- The processing element design for a large-scale spatio-temporal pattern clustering system, Yuan, J. | Song, N. | Farhat, N. | Van Der Spiegel, J., Analog Integrated Circuits and Signal Processing, 2009
- Self-organization in a parametrically coupled logistic map network: A model for information processing in the visual cortex, Pashaie, R. | Farhat, N.H., IEEE Transactions on Neural Networks, 2009
- Background calibration with piecewise linearized error model for CMOS pipeline A/D converter, Yuan, J. | Farhat, N.H. | Van der Spiegel, J., IEEE Transactions on Circuits and Systems I: Regular Papers, 2008
- Analytic model for the dynamics of electron trapping materials with applications in nonlinear optical signal processing, Pashaie, R. | Farhat, N.H., Journal of the Optical Society of America B: Optical Physics, 2008
- Optical realization of bioinspired spiking neurons in the electron trapping material thin film, Pashaie, R. | Farhat, N.H., Applied Optics, 2007