Ralf Borndörfer

Ralf Borndörfer is a Professor and Head of the Network Optimization Department at the Zuse Institute Berlin (ZIB), a leading research institution in mathematical algorithmic intelligence. His work focuses on optimizing complex transportation systems, particularly in railway operations, public transit, and air cargo logistics. He leads projects like Timetabling with Duality and Zonotopes, Symmetric Line Planning, and WILSON-LEARN, which address challenges in train scheduling, electric vehicle integration, and predictive maintenance.

• Key Research Areas: Mathematical optimization, railway timetabling, public transport planning, game theory for toll enforcement, and electric vehicle scheduling.
• Notable Collaborations: Projects with Deutsche Bahn, BIFOLD, and MATH+ Cluster of Excellence.

His recent publications (2023-2025) explore:

• Non-linear battery modeling in electric bus scheduling
• Predictive maintenance integration in rolling stock rotations
• Logic-constrained shortest paths for flight planning
• Price-sensitive routing in public transport

He has contributed to algorithmic frameworks like the Restricted Modulo Network Simplex Method and Bayesian rolling horizon approaches, emphasizing computational efficiency and real-world applicability.