Alon Orlitsky is an information theorist and the Qualcomm Professor for Information Theory and its Applications at University of California, San Diego.[1] He received a BSc in Mathematics and Electrical Engineering from Ben Gurion University in 1981, and a PhD in Electrical Engineering from Stanford University in 1986. He was a member of Bell Labs from 1986 to 1996, and worked for D. E. Shaw from 1996 to 1997. He joined UCSD in 1997.
Alon Orlitsky | |
|---|---|
| Nationality | Israeli American |
| Alma mater | Ben-Gurion University Stanford University |
| Scientific career | |
| Fields | Information Theory |
| Institutions | University of California, San Diego |
| Doctoral advisor | Abbas El Gamal |
He is known for his contribution to the fields of communication complexity, source coding, and more recently in probability estimation. He is a recipient of the IEEE W.R.G. Baker Award in 1992, the IEEE Information Theory Society[2] paper award in 2006, a best paper award at NeurIPS in 2015, and a best paper honorable mention at International Conference on Machine Learning in 2017, and the 2021 Claude E. Shannon Award of IEEE Information Theory Society.
References
edit- ^ Alon Orlitsky, from UCSD Jacobs School of Engineering
- ^ "Information Theory Society Paper Award". IEEE Information Theory Society. Retrieved 2019-03-24.
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