TUM – Technical University of Munich Menü

Prof. Dr. Andreas S. Schulz

Professorship

Operations Research

Academic Career and Research Areas

Professor Schulz’ research focuses on the theory of mathematical optimization, algorithm design, and computational economics. He also develops analytical methods to answer complex questions that arise in the context of communication networks, auctions, logistics, manufacturing, online advertising, transportation, and elsewhere. He is especially interested in using mathematical insights to improve health care and advance personalized medical treatments.

Professor Schulz has a joint appointment in the Department of Mathematics and in the School of Management. He is also a Research Affiliate of the Massachusetts Institute of Technology, where he was a faculty member for almost twenty years, most recently as the Patrick J. McGovern Chair of Management and as Professor of Mathematics of Operations Research. He has held visiting positions at the Sauder School of Business of the University of British Columbia, at the Faculty of Economics and Business Administration of Maastricht University, at the Institute of Theoretical Computer Science at ETH Zurich, and at the Department of Mathematics of TU Berlin, among others.

Awards

  • Alexander von Humboldt Professorship (2014)
  • Humboldt Research Award (2010)
  • Glover-Klingman Prize (2006)
  • Junge Akademie (2000–2005)
  • Carl Ramsauer Award, Berlin Section of the German Physical Society (1996)

Key Publications

Orlin JB, Schulz AS, Udwani R: “Robust monotone submodular function maximization”. Mathematical Programming. 2018; 172(1-2): 505-537.

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Schulz AS, Skutella M, Stiller S, Wagner D (eds.): Gems of Combinatorial Optimization and Graph Algorithms. Cham: Springer, 2015.

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Mittal S, Schulz AS: “A general framework for designing approximation schemes for combinatorial optimization problems with many objectives combined into one”. Operations Research. 2013; 61(2): 386-397.

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Immorlica N, Li LE, Mirrokni VS, Schulz AS: “Coordination mechanisms for selfish scheduling”. Theoretical Computer Science. 2009; 410(17), 1589-1598.

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Correa JR, Schulz AS, Stier Moses NE: “A geometric approach to the price of anarchy in nonatomic congestion games”. Games and Economic Behavior. 2008; 64(2): 457-469.

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