Sven Jäger

Dr. Sven Jäger is a Researcher at the Department of Mathematics, Faculty of Mathematics and Natural Sciences, Technical University Berlin. His office is located at MA 668 in the Mathematics Building at Straße des 17. Juni 136, 10623 Berlin, Germany. He can be reached by telephone at +49 30 314 23189 and by email at jaeger@math.tu-berlin.de, maintaining a professional presence through his personal website at https://sven-jaeger.gitlab.io.

Dr. Jäger's research spans discrete mathematics and optimization with particular expertise in scheduling theory, algorithms, and their cross-disciplinary applications. His work bridges theoretical computer science with practical operations research challenges, evidenced by publications in top-tier venues including Mathematical Programming, European Journal of Operational Research, and SODA. He has developed significant theoretical contributions to non-clairvoyant scheduling, including competitive kill-and-restart strategies and proportional fairness analysis under polyhedral constraints. His research extends to quantum computing applications for discrete optimization and transportation network problems, demonstrating versatility across theoretical and applied domains.

Analysis of his publication trajectory reveals three interconnected research streams: (1) theoretical scheduling algorithms with competitive ratio guarantees, (2) quantum-inspired optimization techniques applied to real-world problems like transport robot scheduling, and (3) transportation science applications including user equilibrium modeling and energy-efficient timetabling. His combinatorial work on symmetric chain decompositions and Gray codes provides foundational contributions to discrete mathematics. Dr. Jäger actively contributes to education as a teaching assistant for Analysis II for Engineering Sciences and Computer-Oriented Mathematics II at TU Berlin.

While his publication record demonstrates significant scholarly impact across multiple domains, no specific scientific awards are mentioned in the available information. His collaborative work with researchers including Guillaume Sagnol, Anita Schöbel, and Nicole Megow spans theoretical computer science, operations research, and transportation applications, reflecting the interdisciplinary nature of his research program.