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Shay Maymon holds a PhD degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT), Cambridge, MA, where he was a recipient of the Fulbright Fellowship for outstanding graduate students. His dissertation Sampling and Quantization for Optimal Reconstruction was written under the direction of Professor Alan V. Oppenheim. Shay's research interests lie broadly in machine learning and statistical inference, statistical signal processing, and computer vision.

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Teaching

Massachusetts Institute of Technology (MIT)

     Introduction to Communication, Control, and Signal Processing (6.011)

     Probabilistic Systems Analysis (6.041)

     Signals and Systems (6.003)

Tel-Aviv University (TAU)

     Statistical Machine Learning

     Detection and Estimation Theory

     Random Signals and Noise

     Signals and Systems

Bar-Ilan University

     Linear Systems

Tel-Aviv Academic College of Engineering

     Advanced Signal Processing

     Image Processing

     Random Signals and Noise

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