Over the next five years, each researcher will receive up to $500,000 “to build a firm scientific footing for solving challenges and scaling new heights for the nation, as well as serve as academic...Read more about Six assistant professors win NSF early-career awards
I joined Cornell in August 2016 as an Assistant Professor in the school of Electrical and Computer Engineering, after spending two years as a postdoc at MIT. I obtained my Ph.D. from University of California, San Diego, and my B. Tech degree from Indian Institute of Technology, Kharagpur.
I am interested in information theory, algorithmic statistics, and machine learning. In particular, I am interested in understanding the trade-offs between resources (e.g., data, memory, time, etc) for problems in statistical learning. During my graduate work, I worked on compression and statistical estimation, with particular emphasis on problems over large domains.
- 2016."Sample-optimal density estimation in nearly-linear time". .
- 2015."Optimal testing of properties of distributions." .
- 2015."The complexity of estimating Rényi entropy." .
- 2015."String reconstruction from substring compositions."29(3): 1340-1371. .
- 2014."Near-optimal-sample estimators for spherical gaussian mixtures." .
Selected Awards and Honors
- MIT Energy Initiative Fellowship(MIT)2014
- Shannon Graduate Fellowship(UCSD)2012
- Jack Keil Wolf Student Paper Award(ISIT)2010
- Btech.(Electronics and Communication Engineering),IIT Kharagpur,2007
- MS(Electrical and Computer Engineering),University of California, San Diego,2009
- Ph D(Electrical and Computer Engineering),University of California, San Diego,2014
In the News
Cornell ECE Assistant Professor Jayadev Acharya recently received an honorable mention award at the International Conference on Machine Learning (ICML 2017), held in Sydney, Australia.Read more about Acharya receives Award for Paper at International Conference on Machine Learning