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Martin Hoefer is a Professor at RWTH Aachen University, Germany, focusing on algorithms and computational complexity. His research interests include the design and analysis of efficient algorithms, particularly in coordination problems and distributed systems. He has made significant contributions to algorithmic game theory and computational learning theory. Hoefer has been involved in various program committees and organized conferences such as the Dagstuhl Seminar on Computational Social Dynamics and WINE 2020. His work has been recognized with best paper awards, highlighting his impact on areas like opinion formation in multi-agent systems and dynamic financial networks. Previously, he held academic positions at Goethe University Frankfurt and Saarland University. He earned his doctorate in computer science from the University of Konstanz and has a Diplom from TU Clausthal.
RWTH Aachen University • Aachen, Germany
Teaching and conducting research in algorithms and computational complexity.
Goethe University Frankfurt • Frankfurt, Germany
Conducted research and taught courses in computer science.
Saarland University • Saarland, Germany
Led research projects in algorithm design and analysis.
MPI Informatik • Germany
Worked on advanced research topics in computational games.
RWTH Aachen University • Aachen, Germany
Taught courses and engaged in algorithm research.
RWTH Aachen University • Aachen, Germany
Researched in algorithms applied to computational problems.
Stanford University • USA
Collaborated on algorithmic research.
Includes Software Systems Engineering. GRE is mandatory for Non-EU/EEA applicants.