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Simon Foo, Ph.D.

Simon Y. Foo, Ph.D.
Professor
Electrical & Computer Engineering
Phone Number(s)
Room Number
A350
Website Link(s)
Education
  • Ph.D., Electrical and Computer Engineering, University of South Carolina, 1988
  • M.S., Electrical and Computer Engineering, University of South Carolina, 1985
  • B.S., Electrical Engineering, University of South Carolina, 1983
Research Interests
  • Photovoltaics
  • Multi-junction III-V compound Solar Cells
  • Organic/Polymer Solar Cells
  • Quantum Dot Solar Cells
  • Perovskite Solar Cells
  • Machine Learning/Deep Learning/Artificial Intelligence

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 machine learning/artificial intelligence and photovoltaics. Dr. Foo has authored or co-authored over 150 refereed technical papers and contributed to two book chapters. He has also graduated more than 45 MS and PhD students. He is the Principal Investigator of at least 20 funded research projects with total funding of over 4 million dollars. His primary research sponsors include the National Security Agency (NSA), National Science Foundation (NSF), Air Force Office of Research (AFOR), Office of Naval Research (ONR), Boeing Aircraft Company, and the Florida Department of Transportation (FDOT). 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" award in 2001 and Tau Beta Pi “Teacher of the Year” award in 2010, and two "Best Paper" awards (2001 and 2004). Dr. Foo is a member of Eta Kappa Nu Electrical Engineering Honor Society (since 1982).

PhD Students Graduated

  • Davis George Moye, “A design-based predictive model for lithium-ion capacitors,” Fall 2019
  • Jobeda Jamal Khanam, “Efficient, Stable, and Low-Cost PbS Quantum Dot Solar Cells with Cr-Ag Electrodes,” Fall 2019
  • Ifedayo Ogundana, “Improving the Morphology of the Perovskite Absorber Layer in Hybrid Organic/Inorganic Halide Perovskite MAPbI3 Solar Cells,” Summer 2017, currently with Intel Corporation, Austin, TX
  • Dana Skinner, "Compressive Sensing: Optimal Reconstruction", Fall 2013, currently with National Security Agency (NSA), Fall 2013
  • Indranil Bhattacharya, "Modeling and Simulation of High Efficiency Multijunction Solar Cells", Summer 2013, currently an Associate Professor with Tennessee State University, Cookeville, TN, Fall 2013
  • Yuhang Deng, "Study of Multiphase Bidirectional DC-DC Converter Interfacing with Energy Storage for Fuel Cell Vehicle Using Power Hardware-In-the-Loop Concept", Fall 2010, was with General Electric (GE), Dallas, TX.
  • Masood Ejaz, "Fast Independent Component Analysis", Spring 2008, currently Professor at Valencia College, Florida
  • Jeffrey Connor, "Antenna Array Synthesis Using the Cross Entropy Method", Summer 2008, was with ArgonST (Boeing), Washington, DC
  • Erastus Ogunti, "Power Analysis of Resonant Clocks", Summer 2008, currently Professor and Chair, Department of Electrical Engineering, Federal University of Technology at Akure (FUTA), Nigeria
  • Jason Isaacs, "Kernel PCA and Kernel ICA", Spring 2007, currently Senior Scientist, Naval Surface Warfare Center (NSWC), Panama City, FL
  • Dan Belc, "Hybrid Wavelet Filter for Medical Image Compression", Spring 2006, was with Siemens, Germany
  • Shonda Walker,"Optimal Wavelets for Robust Speech Recognition", Spring 2003, formerly Associate Professor at Georgia Southern, currently Associate Professor at Florida A&M University

Academic Positions (All held at FAMU-FSU College of Engineering, Tallahassee, FL)

Chair, Electrical & Computer Engineering, July 2010 – June 2018

Professor, Electrical & Computer Engineering, August 2005 – present

Associate Professor of Electrical & Computer Engineering, August 1995 – July 2005

Assistant Professor of Electrical & Computer Engineering, August 1990 - 1995

Visiting Assistant Professor of Electrical Engineering, August 1988 – 1990

External Consulting Experience

Summer Faculty Research Associate, Naval Surface Warfare Center (NSWC), Panama City, FL, Summer 2007.  Investigated Markov random field models for sonar imagery.

Engineering Consultant, Airbus Company, Germany, Summer 2003.  Provided input to the design of visibility sensor system for aircraft fire detection.

Engineering Consultant, RCC-Omnicom, Inc., Tallahassee, FL , Summer 1997 and 1998.  Developed Software for Calculating Radio Wave Diffraction Loss due to Knife Edges and developed Software for Neural Network Modeling of the Time-Delay Interference problem.

Research Associate, Air Force Summer Faculty Research Program, Fuze Test Branch, Eglin Air Force Base, FL, Summer 1993.  Project: Etching semiconductors with a Scanning Tunneling Microscope.

IC Designer/Engineer, International Chip Corporation, Columbia, SC, Summer 1986.  Project: Integrating communication circuit boards onto custom CMOS VLSI chips.

Publications
  1. D.G.Moye, P.L.Moss, X.J.Chen, W.J.Cao, S.Y.Foo, “A design-based predictive model for lithium-ion capacitors,” Journal of Power Sources, Vol. 435, 30 September 2019, https://doi.org/10.1016/j.jpowsour.2019.226694
  2. Khanam JJ, Foo SY, Yu Z, Liu T, Mao P, "Efficient, Stable, and Low-Cost PbS Quantum Dot Solar Cells with Cr-Ag Electrodes," Nanomaterials (Basel). 2019 Aug 27;9(9). pii: E1205. doi: 10.3390/nano9091205.
  3. H. Szu, S. Y. Foo, et al, “The 3rd wave AI requirements,” MedCrave MOJ Applied Bionics and Biomechanics, Vol. 3, Issue 1, pp. 18-22, 2019.
  4. A. Meyer-Baese, S. Y. Foo, et al, “Pinning observability of competitive neural networks with different time–constants,” Neurocomputing, Vol. 329, pp. 97-102, 2019
  5. J. Khanam, and S. Y. Foo, “Modeling of High Efficiency Multijunction Polymer and Hybrid Solar Cells which can absorb Infrared Light,” Polymers 2019, Vol. 11, Issue 1, 2019
  6. Amirhessam Tahmassebi, Amir H. Gandomi, Mieke H. J. Schulte, Anna E. Goudriaan, Simon Y. Foo, and Anke Meyer-Baese, "Optimized Naive-Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification," Hindawi Complexity Journal, Volume 2018, Article ID 2740817, 24 pages. 2018 https://doi.org/10.1155/2018/2740817
  7. J. M. Padilla, U. Meyer-Baese, and S. Y. Foo, "Security evaluation of Tree Parity Re-keying Machine implementations utilizing side-channel emissions," EURASIP Journal on Information Security, Vol. 3, 2018. https://doi.org/10.1186/s13635-018-0073-z
  8. J. Khanam and S. Y. Foo, "Modeling of a photovoltaic array in MATLAB simulink and maximum power point tracking using neural network," Electrical & Electronic Technology Journal (2018), Vol. 2, Issue 3, pp. 40-46. https://medcraveonline.com/EETOAJ/EETOAJ-02-00019.pdf  2018
  9. H. Szu, S. Y. Foo, et. al, “Theory of Glial Cells & Neurons Emulating Biological Neural Networks (BNN) for Natural Intelligence (NI) Operated Effortlessly at a Minimum Free Energy (MFE),” MOJ Applied Bionics and Biomechanics, Vol. 1, No. 1, 2017, http://medcraveonline.com/MOJABB/MOJABB-01-00001.pdf
  10. I. J. Ogundana and S. Y. Foo, “Improving the Morphology of the Perovskite Absorber Layer in Hybrid Organic/Inorganic Halide Perovskite MAPbI3 Solar Cells,” Journal of Solar Energy (JSE), vol. 2017, Article ID 8549847, 9 pages, 2017. doi:10.1155/2017/8549847

Patents

  1. I. Bhattacharya and Simon Y. Foo, US Patent Application No. US 61/219,926, “High Efficiency Photovoltaic Cell for Solar Energy Harvesting”, Granted and Issued by US Patent and Trademark Office on December 17, 2013.
  2. Bhattacharya and Simon Y. Foo, US Patent Application No. US 61/547,303, "Four Junction Solar Cell", filed (Florida State University Research Foundation) with the US Patent and Trademark Office on October 14, 2012. Patent pending.
  3. FSU Tech ID 19-012 High Efficiency Multijunction Polymer Solar Cell Design, submitted September 2018
  4. FSU Tech ID 19-013 High Efficiency Hybrid (Organic - Inorganic) Solar Cell Design, submitted September 2018