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Chris Umans

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Nationality
  
American

Name
  
Chris Umans


Fields
  
Computer Science

Chris Umans userscmscaltecheduumansumanscjpg

Known for
  
Computational complexity, Algorithms, Hardness of approximation, Matrix Multiplication


Doctoral advisor
  

Prof chris umans approaches to bounding the exponent of matrix multiplication


Chris Umans is Professor of computer science in the Computing and Mathematical Sciences Department at the California Institute of Technology. He is known for work on algorithms, computational complexity, algebraic complexity, and hardness of approximation.

Contents

Approaches to Bounding the Exponent of Matrix Multiplication


Academic biography

Umans studied at Williams College, where he completed a BA degree in Mathematics and Computer Science in 1996. He then received a PhD in Computer Science from University of California, Berkeley in 2000. Following his PhD, he was a postdoctoral researcher at Microsoft Research until joining Caltech in 2002.

Research

Umans' research centers broadly around algorithms and complexity. He has made notable contributions to varied areas within this space including random number generation, expanders, and algorithms for matrix multiplication. A notable example is his work on developing a group theoretic approach for matrix multiplication.

In 2008, Umans and his student Dave Buchfuhrer settled a 1979 conjecture on the complexity of unbounded Boolean formula minimization; the result won a best paper award at ICALP.

Awards and honors

Umans received an NSF CAREER award in 2004 and an Alfred P. Sloan Fellowship in 2005. Additionally, his work has received "Best Paper" awards at the International Conference on Automata, Languages, and Programming (ICALP) and the IEEE Conference on Computational Complexity (CCC).

References

Chris Umans Wikipedia


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