معرفی
Edith Cohen is a Research Scientist at Google and a Visiting Full Professor in the School of Computer Science at Tel Aviv University, where she contributes to academic research and teaching. Her career spans leading industrial research labs, including AT&T Bell Labs, Microsoft Research, and Google Research.
- Undergraduate and M.Sc.: Tel Aviv University (1985, 1986)
- Ph.D.: Stanford University, Computer Science (1991)
Her research centers on scalable algorithms for massive data, with key contributions in sketching (e.g., MinHash, HyperLogLog), sampling techniques, graph mining (centrality, influence, similarity), data streams, and differential privacy. She designs principled algorithmic solutions that balance accuracy, speed, and storage in large-scale systems.
The recent articles highlight a strong focus on robustness and privacy in streaming and learning systems, particularly under adversarial or adaptive settings. Her work bridges theoretical rigor with practical impact, applying advanced statistical and algorithmic methods to real-world data challenges.
- ACM Fellow (2017)
- IEEE Communications Society William R. Bennett Prize (2007)
- ISF and NSF Research Grants
She has advised several students and interns at AT&T and Google, and has served on program committees and editorial boards of top computer science venues. Her work has led to numerous patents in data summarization, network routing, and query processing.
She actively collaborates with researchers across institutions and continues to publish in premier conferences such as STOC, KDD, ICML, and PODS.
