Dr. Muhammad Shaaban obtained his Ph.D. in Computer Engineering from University of Southern California, and his M.S. and B.S. in Electrical Engineering from University of Petroleum and Minerals, Dhahran, Saudi Arabia. His current research focuses on high performance computing and advanced computer architecture, including parallel algorithm design and mapping; micro-heterogeneous computing and cluster computing. His teaching responsibilities include computer architecture and multiple-processor systems. Dr. Shaaban is a senior member of the IEEE.
For more about Dr. Shaaban see his website.
· Dmitri Yudanov, Muhammad Shaaban, Roy Melton, Leon Reznik, "GPU-based simulation of spiking neural networks with real-time performance and high accuracy," Proceedings of the 2010 International Joint Conference on Neural Networks (IJCNN 2010), July 18-23, 2010, Barcelona, Spain, pp. 1-8.
· Dmitriy Bekker, Marcin Lukowiak, Muhammad Shaaban, Jean-Francois Blavier, and Paula Pingree, "Spaceborne Hybrid-FPGA System for Processing FTIR Data," NASA Tech Briefs, 31(12):30, December 2008.
· Dmitriy Bekker, Marcin Lukowiak, Muhammad Shaaban, Jean-Francois Blavier, and Paula Pingree, "A Hybrid-FPGA System for On-Board Data Processing Targeting the MATMOS FTIR Instrument," Proceedings of the IEEE Aerospace Conference, March 2007.