Electrical Engineering and Computer Science

Dan Simon, Professor

People at Electrical Engineering and Computer Science

Dan Simon

Professor, Electrical Engineering and Computer Science

Contact Information:

Education:

  • B.S., Electrical Engineering, Arizona State University
  • M.S., Electrical Engineering, University of Washington
  • Ph.D., Electrical Engineering, Syracuse University, 1991

Research Interests:

  • Control Systems
  • State Estimation
  • Signal Processing
  • Computer Intelligence

Honors and Awards

  • CSU Faculty Merit Recognition Award, May 2007
  • Received Boeing Aerospace’s Team Achievement Award in 1984 for "Outstanding Contribution to the Inertial Upper Stage Program".
  • Received Syracuse University’s Graduate Fellowship (the only one in the Electrical Engineering Department) for the 1990-91 academic year.
  • Honorable Mention in the 1990 Student Paper Competition of the Society for Industrial and Applied Mathematics (SIAM).
  • Received TRW’s Key Award in 1993 for "Outstanding Independent Research and Development Contributions".

Classes Frequently Taught

  • ESC 120 Introduction to Engineering Design
  • EEC 380 Digital Systems
  • EEC 414/503 Writing in Electrical and Computer Engineering
  • EEC 417 / 517 Embedded Systems
  • EEC 510 Linear Systems
  • ESC 720 Research Communications
  • EEC 641 / 741 Multivariable Control
  • EEC 644 / 744 Optimal Control
  • EEC 645 / 745 Intelligent Control Systems
  • EEC 693 / 793 Genetic Algorithms
  • EEC 693 / 793 Optimal State Estimation
  • EEC 693 / 793 Population-Based Optimization
  • Kalman Filtering

Recent Publications (List of publications)

  • H. Ma, D. Simon, and M. Fei, “On the convergence of biogeography-based optimization for binary problems,” Mathematical Problems in Engineering, vol. 2014, Article ID 147457, 11 pages, 2014.
  • D. Simon, M. Omran, and M. Clerc, “Linearized biogeography-based optimization with re-initialization and local search,” Information Sciences, vol. 267, pp. 140–157, May 2014.
  • H. Ma, D. Simon, M. Fei, X. Shu, and Z. Chen, “Hybrid biogeography-based evolutionary algorithms,” Engineering Applications of Artificial Intelligence, vol. 30, pp. 213–224, April 2014.
  • H. Richter and D. Simon, “Robust Tracking Control of a Prosthesis Test Robot,” ASME Journal of Dynamic System, Measurement, and Control, vol. 136, no. 3, paper 031011, February 2014.
  • D. Du and D. Simon, “Complex System Optimization Using Biogeography-Based Optimization,” Mathematical Problems in Engineering, vol. 2013, Article ID 456232, 18 pages, 2013.
  • H. Ma, D. Simon, M. Fei, and Z. Chen, “On the equivalences and differences of evolutionary algorithms,” Engineering Applications of Artificial Intelligence, vol. 26, no. 10, pp. 2397–2407, November 2013.
  • D. Simon and Y. Shmaliy, “Unified forms for Kalman and finite impulse response filtering and smoothing,” Automatica, vol. 49, no. 6, pp. 1892-1899, June 2013.
  • D. Simon, A. Shah, and C. Scheidegger, “Distributed learning with biogeography-based optimization: Markov modeling and robot control,” Swarm and Evolutionary Computation, vol. 10, pp. 12–24, June 2013.
  • Y. Shmaliy and D. Simon, “Iterative unbiased FIR state estimation: A review of algorithms,” EURASIP Journal on Advances in Signal Processing, vol. 2013, no. 113, May 2013.
  • H. Ma, D. Simon, M. Fei, and Z. Xie, “Variations of biogeography-based optimization and Markov analysis,” Information Sciences, vol. 220, pp. 492–506, January 2013.

Projects

  • Non-contact ECG Monitoring and Diagnosis, National Science Foundation, August 2010-August 2013
  • Rapid Rehabilitation and Return to Function for Amputee Soldiers, Cleveland Clinic, June 2010-December 2012
  • Wireless Gesture Recognition Using Inertial Navigation Systems, Innovative Developments, January 2011 - August 2011
  • Automotive Engine Time-to-Torque Optimization,Ford Motor Company, January 2012 - August 2012
  • Automotive Fuel Consumption Minimization,Ford Motor Company, January 2013 - December 2014