Professor Tim Oates
Tim Oates, Ph.D. is Assistant Professor of
Computer Science and Electrical Engineering, University of Maryland
Baltimore County.
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.