معرفی
Dr. Franziska Eberle is the Head of the MATH+ Junior Research Group in the Institute of Mathematics at Technische Universität Berlin. She leads research in approximation algorithms, focusing on uncertain environments such as online and stochastic models. Her work addresses scheduling, resource allocation, and combinatorial optimization under uncertainty.
Education:
- PhD in Computer Science, Universität Bremen (2020)
- M.Sc. in Mathematics for Operations Research, TU München (2016)
- B.Sc. in Mathematics, TU München (2014)
Research Interests: Franziska’s research spans approximation algorithms for stochastic and online scheduling, robust optimization, and algorithmic frameworks for commitment models. She has contributed to load balancing, matroid optimization, and learning-augmented algorithms. Her work bridges theoretical foundations and practical applications in scheduling and resource management.
Recent Contributions:
- Developed algorithms for configuration balancing under stochastic requests (Mathematical Programming, 2024)
- Optimal online throughput maximization for unrelated machines (ACM Transactions on Algorithms, 2023)
- Robust scheduling frameworks for speed-uncertain machines (Mathematical Programming, 2023)
Teaching: Franziska has taught courses on approximation algorithms, discrete optimization, and practical optimization modeling. Recent offerings include advanced topics in online optimization (Summer 2024).
Labs/Teams: Her research group includes PhD student Sebastian Bruchhold, focusing on cutting-edge problems in optimization under uncertainty.
