Area of Study
Email Address
Taylor Science Center 2015A

Darren Strash’s research interests center on graph algorithms for large social networks and web-crawl graphs. His additional areas of expertise include computational geometry, graph drawing, subgraph counting and listing, dynamic data structures, combinatorial optimization, and heuristic algorithms.  

Before coming to Hamilton, Strash was a visiting assistant professor at Colgate University. Before Colgate, he spent two years in Germany as a postdoctoral researcher at Karlsruhe Institute of Technology’s Institute of Theoretical Informatics. Strash worked for three years as a software engineer at Intel.

In his free time, he enjoys playing strategic board games, reading sci-fi and fantasy novels, and contributing to openstreetmap.org. Strash earned his bachelor’s in computer science from Cal Poly Pomona and his doctorate from the University of California, Irvine.

Recent Courses Taught

Data Structures
Discrete Mathematics

Select Publications

  • C. Schulz and D. Strash, “Graph Partitioning: Formulations and Applications to Big Data,” Encyclopedia on Big Data Technologies, Springer, 2018, doi:10.1007/978-3-319-63962-8_312-2.
  • D. Funke, S. Lamm, P. Sanders, C. Schulz, D. Strash, and M. von Looz, “Communication-Free Massively Distributed Graph Generation,” Proc. 32nd IEEE International Parallel and Distributed Processing Symposium (IPDPS 2018), 2018, pp. 336–347, doi:10.1109/IPDPS.2018.00043. (best paper award)
  • P. San Segundo, J. Artieda, and D. Strash, “Efficiently Enumerating all Maximal Cliques with Bit-Parallelism,” Computer & Operations Research, 92, 2017, pp. 37-46, doi:10.1016/j.cor.2017.12.006.
  • P. Sanders, C. Schulz, D. Strash, and R. Williger, “Distributed Evolutionary k-way Node Separators,” Proc. Conference on Genetic and Evolutionary Computing and Combinatorial Optimization (GECCO 2017), 2017, pp. 345-352, doi:10.1145/3071178.3071204(best paper nomination)
  • S. Lamm, P. Sanders, C. Schulz, D. Strash, R. F. Werneck, “Finding Near-Optimal Independent Sets at Scale,” Journal of Heuristics, 23(4), 2017, pp. 207-229, doi:10.1007/s10732-017-9337-x.

Appointed to the Faculty


Educational Background

Ph.D., University of California, Irvine
M.S., University of California, Irvine
B.S., Cal Poly Pomona

The $400 million campaign marked the most ambitious fundraising initiative in the College's history.

More About the Campaign's Success

Site Search