Biographical Information for Dana Nau
Last updated May 8, 2018
A Very Brief Bio
Dana Nau is an AI researcher who works primarily in the areas of automated planning and game theory. Some of his best-known work includes the discovery of "pathological" game trees in which deeper lookahead produces worse decisions, the strategic planning algorithm used to win the 1997 world championship of computer bridge, the SHOP and SHOP2 planning algorithms, two graduate-level textbooks on automated planning and acting, and evolutionary game-theoretic studies of the evolution of human behavioral norms. Dr. Nau has more than 300 refereed publications. He is an AAAI Fellow and an ACM Fellow.
A Slightly Longer One
Dana Nau is a Professor at the University of Maryland, in the Department of Computer Science and the Institute for Systems Research.
He received a B.S. in Applied Mathematics from Missouri S&T (then University of Missouri-Rolla) in 1974, and a Ph.D. in Computer Science from Duke University in 1979.
Dr. Nau does research in artificial intelligence, especially in the areas of automated planning and game theory.
He has more than 300 refereed technical publications,
has chaired ICAPS and several other conferences, and has been on the editorial boards of JAIR, ACM TIST, and several other journals.
Some of his accomplishments include—
Dr. Nau is an
and an ACM Fellow