Tarek M. Taha

Dr. Tarek M. Taha is a Professor in the Department of Electrical and Computer Engineering at the University of Dayton. He leads the Parallel Cognitive Systems Laboratory, focusing on AI algorithms, neuromorphic computing, and high-performance systems. His research spans deep learning applications (e.g., medical imaging, cybersecurity), memristor-based architectures, and FPGA acceleration.

Education: Ph.D., M.S., and B.S. in Electrical Engineering from Georgia Institute of Technology (2002, 1998, 1996), and a B.A. in Pre-Engineering from DePauw University (1996). Active collaborations include AFRL, NSA, Sandia National Labs, and multiple universities.

Research Interests: Neuromorphic computing, memristor circuits, AI hardware acceleration, parallel algorithms, and cybersecurity. Key contributions include neuromorphic spiking processors (e.g., Intel Loihi), memristor device modeling, and low-power neuromorphic systems for real-time applications.

Awards: NSF CAREER Award (2007), IEEE Dayton Bio-Engineering Award (2018), and multiple best-paper recognitions. Over 150 publications in top-tier journals/conferences.

Advising: Supervised over 30 graduate students (listed in full description) and collaborates on grants from AFOSR, NSA, and industry. Labs include the Parallel Cognitive Systems Lab with state-of-the-art neuromorphic hardware and memristor fabrication capabilities.