ShangHua TengUniversity Professor and Seeley G. Mudd Professor of Computer Science and Mathematics
USC Theory Group and
USC Machine Learning Center

Ph.D. in Computer Science,
Carnegie Mellon University
M.S. in Computer Science,
USC
B.S. in Computer Science &
B.A. in
Electrical Engineering,
Shanghai Jiao Tong University
RECENT MANUSCRIPTS:
COVERAGE (SCIENCE NEWS):
RECENT TALKS:
CURRENT TEACHING: This Fall, I will teach:
RECENT ESSAY:
SHORT BIO 
Dr. ShangHua Teng has twice won the prestigious
Gödel Prize in theoretical computer science,
first in 2008, for developing the theory of smoothed analysis,
and then in 2015, for designing the
groundbreaking nearlylinear time Laplacian solver for
network systems.
Both are joint work with Dan Spielman of Yale 
his longtime collaborator.
Smoothed analysis is fundamental for
modeling and analyzing practical algorithms,
and the Laplacian paradigm
has since led to several
breakthroughs in network analysis, matrix computation, and optimization.
Citing him as, ``one of the most original theoretical computer
scientists in the world'', the Simons Foundation
named Teng a 2014 Simons Investigator, for
pursuing longterm curiositydriven fundamental research.
He and his collaborators also received
the best paper award at ACM Symposium on
Theory of Computing (STOC) for what's considered to be the
``first improvement in 10 years'' of a fundamental optimization problem
 the computation of maximum flows and minimum cuts
in a network.
In addition, he is known for his joint work with Xi Chen and Xiaotie
Deng that characterized the complexity for computing an approximate Nash
equilibrium in game theory, and his joint papers on market equilibria
in computational economics.
He and his collaborators also
pioneered the development of wellshaped Dalaunay
meshing algorithms for arbitrary threedimensional geometric domains,
which settled
a longterm open problem in numerical simulation, also
a fundamental problem in computer graphics.
Software based on this development was used at
the University of Illinois for the simulation of advanced rockets.
Teng is also
interested in mathematical board games.
With his former Ph.D. student Kyle Burke, he designed and
analyzed a game called Atropos ,
which is played on the Sperner's triangle and based on the beautiful,
celebrated Sperner's Lemma.
In 2000 at UIUC, Teng was named on the List of Teachers Ranked as
Excellent by Their Students for his class,
``Network Security and Cryptography''.
He has worked and consulted for Microsoft Research, Akamai, IBM
Almaden Research Center, Intel Corporation, Xerox PARC,
and NASA Ames Research Center, for which he received
fifteen patents for his work on
compiler optimization, Internet technology, and social network.
... Click here , for full career narrative.  




SELECTED PUBLICATIONS: 
An Axiomatic Approach to Community Detection ,
Innovations in Theoretical Computer Science (ITCS 2016)
(with Christian Borgs, Jennifer Chayes, and Adrian Marple)
Electrial flows, Laplacian systems, and faster approximation of maximum flow in undirected graphs, in STOC 2011: 273282 (with Paul Christiano, Jon Kelner, Aleksander Madry, and Daniel Spielman). NearlyLinear Time Algorithms for Preconditioning and Solving Symmetric, Diagonally Dominant Linear Systems, Journal on Matrix Analysis (2014) 35 (3) (with Dan Spielman) Spectral Sparsification of Graphs, in SIAM J. Computing, 40(4): 9811025, 2011 (with Daniel Spielman). A Local Clustering Algorithm for Massive Graphs and Its Application to Nearly Linear Time Graph Partitioning, SIAM J. Comput. 42(1): 126 (2013) (with Dan Spielman) Settling the complexity of computing twoplayer Nash equilibria, in J. ACM, 56(3) May 2009 (with Xi Chen and Xiaotie Deng). Smoothed analysis of algorithms: the simplex algorithm usually takes polynomial number of steps, in J. ACM, 51(3) pages 385463, May 2004 (with Daniel Spielman). Separators for spherepackings and nearest neighborhood graphs, in J. ACM, 44(1), 129, January 1997 (with Gary Miller, William Thurston, and Steve Vavasis). Sliver Exudation, in J. ACM, 47(5): 883904, 2000 (with S.W. Cheng, T. Dey, H. Edelsbrunner, and M. Facello). Spectral partitioning works: planar graphs and finite element meshes, in Linear Algebria and Its Applications, vol 421, 284305, March 2007 (with Daniel Spielman). Subspace gradient domain mesh deformation, in ACM Transactions on Graphics: SIGGRAPH'06, 11261134, 2006 (with Jin Huang, Xiaohan Shi, Xinguo Liu, Kun Zhou, LiYi Wei, Hujun Bao, Baining Guo, Harry Shum). Atropos: A PSPACEcomplete Sperner Triangle Game, in Internet Mathematics, 5(4): 477492, 2008 (with Kyle Burke). Learning and smoothed analysis, in FOCS 2009, 395404 (with Adam Kalai and Alex Samorodnitsky). Settling the complexity of ArrowDebreu equilibria in markets with additively separable utilities, in FOCS 2009, 273282 (with Xi Chen, Decheng Dai, and Ye Du). Smoothed analysis of multiobjective optimization, in FOCS 2009, 681690 (with Heiko Roglin). Higher eigenvalues of graphs, in FOCS 2009, 735744 (with Jon Kelner, James Lee, and Greg Price). Reducibility among fractional stability problems, in FOCS 2009, 283292 (with Shiva Kintali, Laura Poplawski, Rajmohan Rajaraman, and Ravi Sundaram). Finding local communities in protein networks, in BMC Bioinformatics, 10:297, 2009 (with Konstantin Voevodski and Yu Xia). knearst neighbor clustering and percolation theory, in Algorithmica, 49(3):192211, 2007 (with Frances Yao). Security, verifiability, and universality in distributed computing, in J. Algorithms 11(3):492521, 1990 (with MingDeh Huang). Functional inversion and communication complexity, in Journal Cryptology, 7(3):153170, 1994. Provably good partitioning and load balancing algorithms for parallel adaptive NBody simulation, in SIAM J, Scientific Computing, 19:635654, 1998.






INDUSTRY/INVENTION:  Software: mesh partitioning (Xerox/MathWorks), transistorlevel circuit simulation (Intel), web crawling (IBM), massive data analysis (Akamai) Patents: fifteen patents for his work on compiler optimization, Internet technology, and social network analysis. 





HONORS/AWARDS: 






PERSONAL:  YOUTHFUL CHILDFREE LIFE: I love Latin music and Latin dance, especially Salsa Dancing.
I also like cooking, reading, and traveling,
and enjoy solving math problems on the airplane. SINCE 2012: I love to understand learning and language acquisition. I also like cooking and playing various games with my daughter, and enjoy watching her to figure out the world.


CONTACT:  shanghua AT usc DOT edu  




TEACHING:  CSCI 670: Advanced Analysis of Algorithms (most recently before the current semester: Fall 2016)  
CSCI 476: Cryptography  Fundamentals of Secure Communication & Computation (most recently before the current semester: Fall 2016)  
CSCI 599: Algorithms for the New Age: Games, Economics, Networking, & Data Analysis (Fall 2010)  
CSCI 303: Analysis of Algorithms (Spring 2010)  
TALKS:  Algorithmic Primitives for Network Analysis: Through the Lens of the Laplacian Paradigm SIAM Data Mining Conference, 2012 