Dan Lee Elected an IEEE Fellow
Dan Lee, professor in the Department of Electrical and Systems Engineering, has been elected an IEEE Fellow for "contributions to machine learning algorithms for perception and motor control." IEEE Fellow is a distinction reserved for select IEEE members whose extraordinary accomplishments in any of the IEEE fields of interest are deemed fitting of this prestigious grade elevation.
Lee's research focuses on applying knowledge about biological information processing systems to building better artificial sensorimotor systems that can adapt and learn from experience. Drawing from the ways in which biological systems compute and learn, Lee and his lab look at computational neuroscience models, theoretical foundations of machine learning algorithms, as well as constructing real-time intelligent robotic systems, with an ultimate goal of making machines that better understand what we want them to do.
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To read more about Lee and his research, please see his faculty profile.