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Joerg Kalcsics is a Reader at the School of Mathematics, where he focuses on developing exact heuristic models and algorithms to tackle combinatorial optimization problems while accounting for uncertainty and reliability issues. His primary research is centered on large-scale logistics, including facility location and network design, sales districting, and service scheduling in collaboration with companies. Kalcsics combines mathematical disciplines with computer science, exploring areas such as combinatorial optimization, complexity theory, algorithmic design, and computational geometry to derive structural results and exact solution methods for various optimization challenges. He has been involved in significant professional activities, including serving as a board member for the EURO Working Group on Locational Analysis.
University of Edinburgh • Edinburgh
Contributes to the academic research and teaching within the School of Mathematics.
Fraunhofer Institute Industrial Mathematics (ITWM) •
Conducted research in optimization problems.
Saarland University, Department of Law & Business Administration •
Worked on interdisciplinary projects.
Karlsruhe Institute of Technology (KIT), Department of Economics and Management •
Engaged in research on economic modeling.
Rotman School of Management, University of Toronto •
Collaborated on business management research.
Clausthal University of Technology, Faculty of Mathematics/Computer Science Mechanical Engineering •
Focused on mathematical applications in engineering.
Department of Marketing