Education
University of Southern California. Carnegie Mellon University.
滕尚华
engineer mathematician university professor computer scientist
University of Southern California. Carnegie Mellon University.
He is the Seeley G. Mudd Professor of Computer Science and Mathematics at the University of Southern California. Previously, he was the chairman of the Computer Science Department at the Viterbi School of Engineering of the University of Southern California. In 2008 he was awarded the Gödel Prize for his joint work on smoothed analysis of algorithms with Daniel Spielman.
Teng graduated with Bachelor in electrical engineering and Bachelor of Science in computer science, both from Shanghai Jiao Tong University in 1985.
He obtained Mississippi in computer science from the University of Southern California in 1988. Teng holds a Doctor of Philosophy in computer science from Carnegie Mellon University (in 1991).
Prior to joining University of Southern California in 2009, Teng was a professor at Boston University. He has also taught at Massachusetts Institute of Technology, the University of Minnesota, and the University of Illinois at Urbana-Champaign.
He has worked at Xerox Palo Alto Research Center, National Aeronautics and Space Administration Ames Research Center, Intel Corporation, International Business Machines Corporation Almaden Research Center, Akamai Technologies, Microsoft Research Redmond, Microsoft Research New England and Microsoft Research Asia.
They went to win the prize again in 2015 for their contribution on "nearly-linear-time Laplacian solvers". In 2009, he received the Fulkerson Prize given by the American Mathematical Society and the Mathematical Programming Society. Teng is a Fellow of the Association for Computing Machinery (Association for Computing Machinery (ACM)) as well as an Alfred P. Sloan fellowship