Daniel Lee, PhD

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				Daniel D. Lee, Ph.D. Associate Professor Dept. of Electrical and Systems Engineering 370 Moore Building/6314 215-898-8112 215-573-2068(FAX) email: ddlee@seas.upenn.edu For more information on Dr. Lee: http://www.seas.upenn.edu/~ddlee/ Click here for selected publications since Dr. Lee's arrival at Penn RESEARCH INTERESTS Computational neuroscience models, theoretical foundations of machine learning algorithms, as well as constructing real-time intelligent robotic systems RESEARCH TECHNIQUES RESEARCH SUMMARY Why is it that if computers have gotten so much faster and cheaper, they have not become any better at understanding what we want them to do? Some of the tasks we take for granted in vision and language are still too difficult for the fastest supercomputers to handle. To us, a picture may be worth a thousand words, but to a machine both are just seemingly random jumbles of numbers. How can we get machines to intelligently process this kind of information? I believe that we can learn much from the way biological systems compute and learn. My research focuses on applying knowledge about biological information processing systems to building better artificial sensorimotor systems that can adapt and learn from experience. Thus, research in my lab looks at computational neuroscience models, theoretical foundations of machine learning algorithms, as well as constructing real-time intelligent robotic systems.