The Zuse Institute can appoint distinguished scientists from relevant
fields of research as Zuse Junior Fellows and Distinguished
Fellows for
collaboration with the institute’s researchers. Below is a list of
current fellows associated with the work of IOL.
Prof. Antoine Deza is a leading researcher in combinatorial optimization at McMaster University’s Department of Computing and Software. He earned his Ph.D. from Tokyo Institute of Technology. Prof. Deza has held noteworthy positions, such as Canada Research Chair in Combinatorial Optimization (2004-2014) and Digiteo Chair in Combinatorics and Optimization (2013-2017). As a Fields Institute Fellow and Associate Director of the MacDATA Institute, his research focuses on the computational, combinatorial, and geometric aspects of linear optimization. Prof. Deza has an extensive publication record and has contributed significantly to the development of optimization algorithms and software.
Prof. Marc Pfetsch is a leading researcher in discrete optimization at Technische Universität Darmstadt. He completed his mathematics studies at Universität Heidelberg and his Ph.D. at Technische Universität Berlin. Prof. Pfetsch has held various academic positions, including a W3 professorship for Discrete Optimization at Technische Universität Darmstadt since 2012. He has been involved in numerous projects, particularly in the areas of global optimization methods for stationary and non-stationary gas transport, combinatorial network flow methods, and gas market problems. Prof. Pfetsch has been one of the most active developers of the SCIP Optimization Suite and frequently collaborates with members of the IOL research lab.
Prof. Robert Weismantel is a renowned expert in mathematical optimization, being a Professor of Mathematics at ETH Zürich since 2010. He obtained his Ph.D. in Mathematics in 1992 and his Habilitation in 1995, both from TU Berlin. Prof. Weismantel held a previous professorship at OvGU Magdeburg between 1998 and 2010. His research interests lie in discrete mathematics and mathematical optimization, with an emphasis on structural questions and algorithmic consequences in high dimensional integer optimization problems with sparse matrices, mixed integer convex optimization models, and systems of linear inequalities with bounded matrix minors. As a distinguished researcher in his field, Prof. Weismantel has made significant contributions to the development and understanding of mathematical optimization techniques.
