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Technical University of Munich

M.Sc. Felix Buld

Contact

Office: Karlstr. 45 (6th floor), 80333 München

E-Mail: felix.buld(at)tum.de

Phone: +49 89 289-26822

Office Hours: by appointment

Research Interests

Operations Research in Theory and Practice:

  • Scheduling Problems
  • Graph Algorithms and Network Optimization
  • Optimization under Uncertainty: Deterministic, Stochastic, Online, and Robust Models, Explorable Uncertainty
  • Approximation, Online, and Learning-Augmented Algorithms

Bio

09/2023 - nowPhD student and research associate at the chair of Operations Research (TU München)
 Member of the RTG "Advanced Optimization in a Networked Economy" (AdONE)
09/2025 - 11/2025Visiting Researcher (Columbia University, Department of Industrial Engineering and Operations Research)
10/2020 - 04/2023M.Sc. in Mathematics, minor in Computer Science (RPTU in Kaiserslautern)
01/2020 - 05/2020Semester abroad (National University of Singapore)
10/2017 - 09/2020B.Sc. in Mathematics, minor in Economics (TU Kaiserslautern)

Work experience as consultant at d-fine, master thesis student at Rolls-Royce Germany and student research assistant at Fraunhofer Institute for Industrial Mathematics. For details, see LinkedIn.

Publications

Preprints

  • von Aspern, M., Buld, F. and Pinedo, M., 2026. Flow Shop Scheduling with Stochastic Reentry. arXiv preprint arXiv: 2604.17945.

Published

  • Buld, F. and Schulz, A.S., 2025. Scheduling with Testing: Competitive Algorithms for Minimizing the Total Weighted Completion Time in the Adversarial Model. In International Workshop on Frontiers in Algorithmics (pp. 64-77). Springer, Singapore. [Paper]
  • von Aspern, M., Buld, F., Klein, N. and Pinedo, M., 2025. Flow shops with reentry: The total weighted completion time objective. Journal of Scheduling, 28, pp. 585–600. [Paper]

Written Theses

  • Master's Thesis: Efficient Algorithms for Resource-Constrained Project Scheduling in a Production Environment (with Rolls-Royce Germany, Prof. Dr. Sven O. Krumke)
  • Bachelor's Thesis: Optimal Inverter Territories for Ground-Mounted Photovoltaic Systems (with Fraunhofer Institute for Industrial Mathematics ITWM, Prof. Dr. Karl-Heinz Küfer, awarded a Bachelor's prize from the German Operations Research Society GOR)

Teaching

Supervised Theses

  • Learning-Augmented Robust Scheduling in Energy Balancing
  • A Probabilistic Cost Function for Postponement Decisions in ERP-Based Supply Chains
  • Explorable Uncertainty in Perpetual Routing and Scheduling
  • A Linear Programming Approach to the Airplane Refueling Problem
    2025:
  • Planning Algorithms for Air Cargo Ground Operations
  • Scheduling Algorithms in Semiconductor Manufacturing
  • Parallel Machine Scheduling with Sequence-Dependent Setup Times in a Food Packaging Industry
  • Integrated Healthcare Timetabling
    2024:
  • Learning-Augmented Algorithms for Scheduling

Seminars

  • Learning-Augmented Online Algorithms for Combinatorial Optimization Problems (Summer term 2026)
  • Scheduling: Theory and Algorithms (Summer term 2025, Winter term 2024/25)
  • Advanced Seminar Operations & Supply Chain Management: Operations Research (Summer term 2024)

Teaching Assistant

  • Scheduling: Theory and Algorithms (Winter term 2025/26)
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