معرفی
Rasmus Pagh is a Professor at the Department of Computer Science, University of Copenhagen, specializing in algorithms and complexity. His career includes a 2002 PhD from Aarhus University under Peter Bro Miltersen and a tenure at IT University of Copenhagen until 2020. He leads theoretical research with practical applications in big data, databases, and modern computer architecture parallelism.
His research interests span algorithms, data structures, and privacy-preserving computing. Recent work includes the ERC-funded project on Scalable Similarity Search and contributions to the BARC center for basic algorithms research. He has collaborated with Google Research (2019-2020) and focuses on theoretical foundations with real-world impact.
Key research trends in his 2023-2024 publications include
- privacy-preserving data analysis
- probabilistic data structures
- distributed secure computation
- noise-robust coding
- hashing efficiency
- continual privacy mechanisms
Scientific recognition includes
- 2024 ACM Fellowship
- ERC grant leadership
- multiple top-tier conference publications
