Tarek M. Taha

Associate Professor
Full-Time Faculty
School of Engineering: Department of Electrical and Computer Engineering

Profile

Selected Publications

  • Taha, T.M., and D.S. Wills. 2008. An analytical model of superscalar processor performance. IEEE Transactions on Computers 57, no. 3 (March): 389-403.
  • Taha, T.M., P. Yalamanchili, M.A. Bhuiyan, R. Jalasutram, and S.K. Mohan. 2009. Parallelizing two classes of neuromorphic models on the cell multicore architecture. IEEE International Joint Conference on Neural Networks (IJCNN), June, in Atlanta, Georgia.
  • Awwal, A., K.L. Rice, and T.M. Taha. 2009. Hardware acceleration of position determination using dual mode multi-class filter operation of the corner cube reflected images. Applied Optics 48, no. 27 (September): 5190-5196.

Research and Work

  • CAREER: Scalable computer architectures of hierarchical neocortex models and K-12 education enhancement, National Science Foundation
  • Investigation of large scale cortical models on clustered multicore processors, Air Force Office of Scientific Research
  • Investigating node design and training of neuromorphic computing architectures of the neocortex, Air Force Research Laboratory

Honors and Awards

  • NSF CAREER Award, 2007
  • Clemson University Board of Trustees Award for Faculty Excellence, 2008
  • Eta Kappa Nu, 1999
  • Phi Beta Kappa, 1994

Courses Taught

  • Fundamentals of Computer Architecture (ECE 314)
  • Computer Design (ECE 533)
  • Advanced Computer Architecture (ECE 636)

Degrees

  • Ph.D., Electrical Engineering, Georgia Institute of Technology, 2002
  • M.S.E.E, Electrical Engineering, Georgia Institute of Technology, 1998
  • B.S.E.E, Electrical Engineering, Georgia Institute of Technology, 1996
  • B.A., Pre-Engineering, DePauw University, 1996

Research Interests

  • Computer architecture
  • High performance computing
  • High throughput neuromorphic computing
  • Memristor based architectures
  • Reconfigurable computing
  • Processor performance prediction