Dana Nau is a Professor Emeritus at the University of Maryland, in the Computer Science Department and the Institute for Systems Research. He is an AAAS Fellow, ACM Fellow, and AAAI Fellow. He has more than 400 publications, mainly on topics related to AI. Some of his accomplishments include the discovery of "pathological" game trees in which looking farther ahead produces worse decisions; the game-playing algorithm used in the program that won the 1997 world computer bridge championship; applications of AI planning in automated manufacturing; several AI planning systems (SHOP, SHOP2, Pyhop, others); the textbooks Automated Planning: Theory and Practice (2004) and Automated Planning and Acting (2016); and evolutionary game theoretic studies of factors that affect human behavioral norms.