Sanya Mitaim

Professor of Electrical Engineering

Sanya Mitaim received the B.Eng. degree in Control Engineering from King Mongkut's Institute of Technology, Ladkrabang. He received the M.S. and Ph.D. degrees in Electrical Engineering from the University of Southern California.

Research Interests

• Statistical Signal and Image Processing
• Stochastic Resonance and Noise Processing
• Fuzzy Systems and Neural Networks Applications

Textbook (in Thai)

• สัญญา มิตรเอม, การประมวลผลสัญญาณสำหรับระบบอัจฉริยะ, คณะวิศวกรรมศาสตร์ มหาวิทยาลัยธรรมศาสตร์, 2561

Selected Journal Publications

• ``Optimal Noise Density Approximation for Stochastic Resonance,'' with Rujipan Sampanna, International Journal of Intelligent Engineering & Systems, vol. 12, no. 4, pp. 1-9, August 2019.
• ``Noise benefits in the array of brain-computer interface classification systems,'' with Rujipan Sampanna, Informatics in Medicine Unlocked, vol. 12, pp. 88-97, July 2018.
• ``Noise-benefit forbidden-interval theorems for threshold signal detectors based on cross correlations,'' with Bart Kosko, Physical Review E, vol. 90, no. 052124, November 2014.
• ``The Noisy Expectation-Maximization Algorithm,'' with Osonde Osoba and Bart Kosko, Fluctuation and Noise Letters, vol. 12, no. 3, 1350012, September 2013.
• ``Triply Fuzzy Function Approximation for Hierarchical Bayesian Inference,'' with Osonde Osoba and Bart Kosko, Fuzzy Optimization and Decision Making, vol. 11, no. 3, pp. 241-268, 2012.
• ``Bayesian Inference with Adaptive Fuzzy Priors and Likelihoods,'' with Osonde Osoba and Bart Kosko, IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, vol. 41, no. 5, pp. 1183-1197, October 2011.
• ``Applications of Forbidden Interval Theorems in Stochastic Resonance,'' with Bart Kosko, Ian Lee, Ashok Patel, and Mark M. Wilde, Applications of Nonlinear Dynamics Model and Design of Complex Systems, V. In, P. Longhini, and A. Palacios (Eds.), Springer, pp. 71-90, 2009.
• ``Adaptive Stochastic Resonance in Noisy Neurons Based on Mutual Information,'' with Bart Kosko, IEEE Transactions on Neural Networks, vol. 15, no. 6, pp. 1526-1540, November 2004.
• ``Robust Stochastic Resonance for Simple Threshold Neurons,'' with Bart Kosko, Physical Review E, vol. 70, no. 031911, 27 September 2004.
• ``Stochastic Resonance in Noisy Threshold Neurons,'' with Bart Kosko, Neural Networks , vol. 16, no. 5, pp. 755-761, 2003.
• ``Robust Stochastic Resonance: Signal Detection and Adaptation in Impulsive Noise,'' with Bart Kosko, Physical Review E, vol. 64, no. 051110, 22 October 2001.
• ``The Shape of Fuzzy Sets in Adaptive Function Approximation,'' with Bart Kosko, IEEE Transactions on Fuzzy Systems, vol. 9, no. 4, pp. 637-656, August 2001.
• ``Introduction to Fuzzy Control System,'' Journal of the Thai Robotics Society (in Thai), vol. 1, no. 1, pp. 5-22, March 2001.
• ``Adaptive Stochastic Resonance,'' with Bart Kosko, Proceedings of the IEEE: Special Issue on Intelligent Signal Processing, vol. 86, no. 11, pp. 2152-2183, November 1998.
• ``Neural Fuzzy Agents for Profile Learning and Adaptive Object Matching,'' with Bart Kosko, Presence, vol. 7, no. 6, pp. 617-637, December 1998.