We develop new mathematical models and computational methods for efficient resource allocation and coordination among multiple parties in dynamic logistics networks, transportation, and mobility systems.
Our work is at the intersection of mathematics, computer science, and management science, driven by exciting applications such as airport operations, auction mechanisms for network procurement, autonomous mobility, carsharing systems, production planning, vehicle routing, warehousing & e-commerce.
The PhD program is jointly hosted by the School of Management and the School of Computation, Information and Technology at TUM. We are funded by the German Science Foundation (DFG) as a "Research Training Group".
Prof. Dijkman presented "Resource Allocation in Administrative Processes: A Deep Reinforcement Learning Approach"
Prof. Biró gave a lecture about "Optimisation in two-sided matching markets under preferences"
Prof. Moseley presented "New Directions on Algorithms with Predictions"
AdONE Ph.D. student Donghao Zhu successfully defended his Ph.D. thesis on December, 15, 2023. Congratulations, Donghao!
Prof. Parmentier's presentation was entitled "An introduction to combinatorial optimization augmented machine learning"
Prof. Berling gave a presentation about "The unit tracking approach for new and old inventory control problems"