Assistant Professor
Christopher Hojny
Department / Institute
Mathematics and Computer Science
RESEARCH PROFILE
Christopher Hojny is an assistant professor working at TU/e since October 2019. His main research topic is the development of efficient techniques to handle symmetries in mixed-integer programs. Besides symmetry handling, he is also interested in theoretical properties of integer programs (e.g., the existence of formulations with certain properties) and developing integer programming approaches to solve combinatorial optimization problems. Christopher is also a co-developer of the academic solver SCIP.
Recent Publications
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Cutting Plane Approaches for the Robust Kidney Exchange Problem
Computers & Operations Research (2024) -
Mixed-integer programming techniques for the minimum sum-of-squares clustering problem
Journal of Global Optimization (2023) -
Efficient MIP techniques for computing the relaxation complexity
Mathematical Programming Computation (2023) -
Enabling Research Through The SCIP Optimization Suite 8.0
ACM Transactions on Mathematical Software (2023) -
Computational aspects of relaxation complexity: possibilities and limitations
Mathematical Programming (2023)
Current Educational Activities
Ancillary Activities
No ancillary activities