Professor Tim Oates
Tim Oates, Ph.D. is Assistant Professor of
Computer Science and Electrical Engineering, University of Maryland
His research focuses on artificial intelligence, machine
learning, robotics, and natural language processing.
Tim coauthored Discovering and Characterizing Hidden Variables, Efficient progressive sampling, Cooperative information-gathering: a distributed problem-solving approach, Large datasets lead to overly complex models: an explanation and a solution, Searching for structure in multiple streams of data, Neo: learning conceptual knowledge by sensorimotor interaction with an environment, and Clustering Time Series with Hidden Markov Models and Dynamic Time Warping. Read the full list of his publications!
He earned his B.S. in Computer Science and B.S. in Electrical Engineering at North Carolina State University in 1989. He earned his M.S. in Computer Science at the University of Massachusetts, Amherst in 1997 and his Ph.D. in Computer Science at the University of Massachusetts, Amherst in 2002. He did his Post-doc work at the MIT AI laboratory.