Olaf Schenk is a full professor of computational science at the Institute of Computational Science within the Department of Informatics at the Universita della Svizzera italiana, Switzerland. He graduated in Applied Mathematics from Karlsruhe Institute of Technology (KIT), Germany, and earned his PhD in 2001 from the Department of Information Technology and Electrical Engineering of ETH Zurich and a venia legendi from the Department of Mathematics and Computer Science from the University of Basel in 2009. He conducts research in applied algorithms, computational science, and software tools for high-performance scientific computing. Olaf Schenk is a member of the Society for Industrial and Applied Mathematics (SIAM), the Association for Computing Machinery (ACM) and the Institute for Electrical and Electronic Engineers (IEEE). He is a recipient of an IBM faculty award (2008) and two leadership computing awards from the U.S. Department of Energy (2012, 2013). He served on the editorial board of the SIAM Journal for Scientific Computing (2012-2017) and on the project leadership team of the Swiss Platform for Advanced Scientific Computing PASC (2012-2016). He has been elected as the Program Director for the SIAM Activity group on Supercomputing (2016-2017) and as the current Vice Chair for the SIAM Activity group on Supercomputing (2018-2019). He regularly is a chair of international computer science conferences (e.g. ACM PASC, SIAM PP, IEEE CSE) or serves on various program committees of international computer science conferences. For example, he participated in over 60 technical program committees, including top-level computer science conferences such as the ACM/IEEE Conference on High Performance Computing, Networking, Storage and Analysis (SC’08, SC’10, SC’13, SC’14, SC’15, SC’16), the IEEE International Parallel Distributed Processing Symposium (IPDPS'10, IPDPS'13, IPDPS'14, IPDPS'16, IPDPS'17, IPDPS'18), and the IEEE International Conference on High Performance Computing (HiPC'07, HiPC'09, HiPC'12, HiPC'14, HiPC'16).
Graph Algorithms
Linear Algebra
Machine Learning
Sparse Computation
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