Stefan Schneider

Leading a team of AI researchers and engineers to optimize railway traffic with deep reinforcement learning. I set and drive the AI strategy and work hands-on on research and development.

Design of reinforcement learning approaches for optimizing train schedules quickly and autonomously. Development of high performance simulation. Coordination between AI and simulation teams.

Research on network management and optimization, network softwarization (NFV/SDN), cloud and edge computing, 5G and beyond, as well as machine learning and reinforcement learning.

• Prototyping and evaluating protocols for vehicular networking.
• Teaching two undergrad classes on Java and systems software.

For the digest of my PhD thesis at the 2023 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)

For our paper at 2020 IEEE/IFIP International Conference on Network and Service Management (CNSM)

Accepted at Software Campus with €100K grant to lead my own 2-year research project, RealVNF.

Awarded by the computer and communication systems group, Paderborn University

Awarded by Germany’s oldest and most prestigious scholarship foundation

National scholarship awarded to less than 1% of students in Germany

Paderborn University’s computer science scholarship incl. conference grants

Award for outstanding performance in mathematics (best of my year)