Ravi Tandon
Scholar

Ravi Tandon

Google Scholar ID: u-lTHjcAAAAJ
Professor of ECE, University of Arizona
Machine LearningPrivacySecurityFairnessInformation Theory
Citations & Impact
All-time
Citations
2,638
 
H-index
28
 
i10-index
54
 
Publications
20
 
Co-authors
78
list available
Resume (English only)
Academic Achievements
  • - NSF CAREER Award in 2017
  • - Keysight Early Career Professor Award in 2018
  • - Best Paper Award at 2011 IEEE Globecom conference
  • - Associate Editor for IEEE Transactions on Information Theory, IEEE Transactions on Wireless Communications, and the IEEE Transactions on Communications
  • - Published multiple academic papers including in Neural Information Processing Systems (NeurIPS) AI4NextG Workshop, Conference on Empirical Methods in Natural Language Processing (EMNLP), etc.
Research Experience
  • - Post-doctoral research associate at Princeton University, 2010-2012
  • - Research Assistant Professor at Virginia Tech, 2012-2015
Education
  • - Ph.D. in ECE from the University of Maryland, College Park, 2010
  • - B.Tech. in Electrical Engineering from IIT Kanpur, 2004
Background
  • Current research interests: Trustworthy Machine Learning, Privacy and Security in AI, Distributed and Federated Learning, Information Theory. Biography: Ravi Tandon is a Professor in the Department of ECE at the University of Arizona, where he holds a Craig M. Berge Faculty Fellowship and a courtesy appointment in Applied Mathematics.