معرفی
Bernhard Haeupler is a Professor at INSAIT (Institute for Computer Science, Artificial Intelligence and Technology) under Sofia University "St. Kliment Ohridski" since 2024. He is also a Post-Professor and Researcher at ETH Zurich's Computer Science Department since 2020 and an Adjunct Professor at Carnegie Mellon University's Computer Science Department since 2022. His roles span theoretical computer science, algorithm design, and distributed/parallel systems.
Research Interests: Haeupler focuses on algorithms for combinatorial optimization, distributed and parallel computing, coding theory, graph/network algorithms, and information theory. His work bridges theoretical foundations with practical applications in network resilience, synchronization, and quantum/parallel optimization.
Article Trends: His 15 most recent articles (2023-2025) emphasize distributed algorithms (e.g., dynamic routing, fault-tolerant spanners), parallel computing (e.g., low-congestion shortcuts, near-linear work), and coding theory (e.g., synchronization strings, insertion-deletion codes). Topics include graph theory, network design, and quantum shortest paths.
Scientific Awards:
- ERC Starting Grant (2020)
- Sloan Research Fellow (2019)
- NSF CAREER Award (2018)
- ACM-EATCS Doctoral Dissertation Award (2014)
- George Sprowls Award for MIT PhD Thesis
Advising & Grants: Haeupler has advised eight PhD students, including Jason Li (CMU, now at Google Research Zurich) and Nicolas Resch (University of Amsterdam). He has secured multiple NSF grants for projects like Distributed Optimization Beyond Worst-Case Topologies and New Coding Techniques for Synchronization Errors.
