Joined department: 2010

Assefaw Gebremedhin's research interests include: combinatorial scientific computing (CSC), high-performance computing, optimization, Algorithmic (or Automatic) Differentiation, and data-intensive computing. CSC is an interdisciplinary research area where one applies combinatorial theory and algorithms to analyze and efficiently solve problems in computational science, computational engineering, and emerging information sciences. Assefaw is a founding member and a co-investigator in the Combinatorial Scientific Computing and Petascale Simulations Institute (CSCAPES), a multi-institution collaborative effort funded by the Department of Energy for 2006-11 to conduct algorithmic research and software development work in three broad areas: load balancing and parallelization toolkits, advanced Automatic Differentiation capabilities, and advanced methods for sparse matrix computations.

Assefaw has served as an organizing committee member and proceedings co-editor for Para2000, and as a minisymposium organizer in many SIAM conferences. He frequently serves as a referee for a variety of journals and conferences in scientific computing, parallel computing, and algorithmic computer science.