Joined department: 2010

Dr. Gebremedhin's research interests include: combinatorial algorithms and their application to traditional scientific computing, computational science and engineering, and information sciences; high-performance computing; and Automatic Differentiation. He is a founding member of 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. Specific areas to which Dr. Gebremedhin has made contributions include graph coloring algorithms and software for sparse derivative computation, and parallel algorithms and computation models. He has more than twenty peer-reviewed publications in journal and conference proceedings on these topics.

Dr. Gebremedhin has served as an organizing committee member of Para2000, Workshop on Applied Parallel Computing (and as a co-editor of the proceedings), and as a minisymposium organizer in many SIAM Conferences. He frequently serves as a referee for papers for a variety of journals and conferences in scientific computing, parallel computing, and algorithmic computer science.