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Michael T. Goodrich

Chancellor's Professor
Dept. of Computer Science
Bren School of Info. and Computer Sciences

Dept. of EECS (by courtesy)
Samueli School of Engineering

University of California, Irvine

Short Biography

Prof. Goodrich received his B.A. in Mathematics and Computer Science from Calvin College in 1983 and his PhD in Computer Sciences from Purdue University in 1987.

He is a Chancellor's Professor at the University of California, Irvine, where he has been a faculty member in the Department of Computer Science since 2001. In addition, he currently serves as Technical Director for the ICS Center for Algorithms and Theory of Computation. He was a professor in the Department of Computer Science at Johns Hopkins University from 1987-2001.

Dr. Goodrich's research is directed at the design of high performance algorithms and data structures with applications to information assurance and security, the Internet, machine learning, and geometric computing. He has pioneered and led research on efficient solutions to a number of fundamental problems, including sorting, convex hull construction, nearest-neighbor searching, linear programming, privacy-preserving data access, network traceback, and data authentication.

With over 300 publications, including several widely-adopted books, his recent work includes contributions to efficient and secure distributed data structures, information privacy, social networks, and cloud security. He has served as a scientific consultant to AT&T, Walt Disney Animation Studios, and the National Science Foundation. He has experience as an expert witness in patent and intellectual property litigation involving algorithms, cryptography, computer security, digital rights management (DRM), machine learning, networking, software, and storage technologies. He is an ACM Distinguished Scientist, a Fellow of the American Association for the Advancement of Science (AAAS), a Fulbright Scholar (with senior specialist service in Denmark), a Fellow of the IEEE, and a Fellow of the ACM. He is a recipient of the IEEE Computer Society Technical Achievement Award, the Brown Univ. Award for Technological Innovation, and the Pond Award for Excellence in Undergraduate Teaching.

His Erdős number is three (3), here's why.

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