Research awards

Best student paper award (PMS 2026)

Winner: Loris Trotter (pictured second from the right) for his paper Mathematical programming for workload-balanced scheduling of resource-constrained projects (co-authored with Nina Ackermann, Tamara Bigler and Norbert Trautmann)

15th AIMMS-MOPTA Optimization Modeling Competition (2023)

3rd Place: Nicklas Klein (pictured second from the left) and Team Clean Air Avengers for their paper Planning electric vehicle charging stations under uncertainty

14th AIMMS-MOPTA Optimization Modeling Competition (2022)

Winners: Team Bern Unicorns (Nicklas Klein (pictured in the middle), Robin Hauenstein and Nicola Travaglini) for their paper Mixed-integer linear programming based solution methods for a stochastic surgery scheduling problem

Honorable mention award (IEEM 2019)

Winner: Philipp Baumann for his paper A binary linear programming-based K-means approach for the capacitated centered clustering problem

Honorable mention award (IEEM 2017)

Winners: Mario Gnägi and Philipp Baumann (not pictured) for their paper Large-scale clustering using mathematical programming

Honorable mention award (IEEM 2016)

Winner: Adrian Zimmermann for his paper An MIP-based heuristic for scheduling projects with work-content constraints

Best student paper award (PMS 2016)

Winners: Tom Rihm and Norbert Trautmann (not pictured) for their paper A decomposition heuristic for an assessment center planning problem

Honorable mention award (IEEM 2015)

Winners: Tom Rihm and Philipp Baumann (not pictured) for their paper Improving fairness in staff assignment: An approach for lexicographic goal programming

Best student paper award (PMS 2014)

Winners: Adrian Zimmermann and Norbert Trautmann (not pictured) for their paper Scheduling of assessment centers: an application of resource-constrained project scheduling

Honorable mention award (IEEM 2010)

Winners: Philipp Baumann and Norbert Trautmann for their paper An MILP approach to short-term scheduling of an industrial make-and-pack production facility with batch splitting and quality release times

Group for Business Analytics, Operations Research and Quantitative Methods