Education
- B.S.E.E., University of South Carolina, 1983
- M.S.E.E, University of South Carolina, 1985
- Ph.D. ECE, University of South Carolina, 1988
Research Interests
- Computational Intelligence
- CMOS Integrated Circuit Design
- Photovoltaics
About
Dr. Foo is a tenured Professor at the Department of Electrical and Computer Engineering at Florida A&M University and Florida State University. His research contributions have been in the areas of computational intelligence, random number generators, field programmable gate array (FPGA) applications, and photovoltaics. Dr. Foo has authored or co-authored over 100 refereed technical papers and contributed to two book chapters. He has also graduated more than 30 MS and PhD students. He is the Principal Investigator of at least 20 funded research projects with total funding of over 3 million dollars. His primary research sponsors include the National Security Agency, National Science Foundation, U. S. Air Force, Boeing Aircraft Company, and the Florida Department of Transportation. He also serves as a technical advisor to Airbus in the area of fire detection in aircraft cargo bays. Besides the "Engineering Research Awards" (2004 and 2008) from the FAMU-FSU College of Engineering, he also won the "Teaching Incentive Award" (1995), "Teacher of the Year" awards (2001 and 2010), and two "Best Paper" awards (2001 and 2004). Dr. Foo is a member of Eta Kappa Nu Electrical Engineering Honor Society (since 1982).
Recent Publications
- H. Li, D. Zhang, and S. Y. Foo, "A stochastic digital implementation of a neural network controller for small wind turbine systems," IEEE Transactions on Power Electronics, vol. 21, no. 5, pp. 1502-1507, Sep. 2006.
- A. Meyer-Baese, P. Gruber, F. Theis, and S. Y. Foo, "Blind source separation based on self-organizing neural network," Engineering Applications of Artificial Intelligence: The International Journal of Intelligent Real-Time Automation, vol. 19, no. 3, pp. 305-311, Apr. 2006.
- K. Woodley, H. Li, and S. Y. Foo, "Neural network modeling of a three-phase induction motor," Engineering Applications of Artificial Intelligence: The International Journal of Intelligent Real-Time Automation, vol. 18, no. 1, pp. 57-63, 2005.
