Alex Pothen is a Professor of Computer Science at Purdue.
His research interests are in combinatorial scientific computing (CSC), parallel computing, and bioinformatics algorithms. He is a
the Society for Industrial and Applied Mathematics (SIAM).
He is the Chair of the
SIAM Activity Group on Applied and Computational
He served as the Director of the
a pioneering research center in CSC (2006-2012), Director of Purdue's
Computing Research Institute (2008-2010),
and Associate Head of computer science (2015-2018).
Applied and Computational Discrete Algorithms (ACDA) is an interdisciplinary research area where combinatorial algorithms are used to solve problems from several application domains. Read more about and join the ACDA research community: SIAG-ACDA
Recent news from my research group:
We have two papers in SIAM CSC20, Seattle, Feb. 2020:
A parallel 2/3-approximation algorithm for vertex-weighted matching
Graphs with tunable chromatic numbers for parallel coloring
Our paper Approximation Algorithms in Combinatorial Scientific Computing has appeared in Acta Numerica 2019, the journal with the highest impact factor (9.7) in computational mathematics.
Yu-Hong Yeung has joined Pacific Northwest National Lab, Richland, WA as a Post-doctoral Scientist in the Computational Mathematics group working on scientific machine learning. Here is a video of Yu-Hong Yeung's work on surgery simulations from ACM TOG and SIGGRAPH 2016 (MP4 format).
Our research is supported by grants from NSF, Department of Energy, The Exascale Computing Project, and an Intel Parallel Computing Center. More news at the column on the right.
Seattle, WA Feb. 11-13, 2020
HPC for Data (video)
Reverse Mode Hessian paper
Flow about a Volkswagen, etc.
SIAM Activity Group
Journal of the ACM
SIAM Fundamentals of Algorithms
Archived Web Pages