Current research interests:
- Trustworthy Machine Learning
- Security and Privacy
- Distributed and Federated Learning
- Information Theory

Biography: I am the Litton Industries John M. Leonis Distinguished Associate Professor in the Department of ECE at the University of Arizona. I received the B.Tech. degree in Electrical Engineering from IIT Kanpur in 2004 and the Ph.D. degree in ECE from the University of Maryland, College Park in 2010. From 2010 to 2012, I was a post-doctoral research associate at Princeton University. From 2012-2015, I was a Research Assistant Professor at Virginia Tech. I received an NSF CAREER Award in 2017, the 2018 Keysight Early Career Professor Award, a Best Paper Award at 2011 IEEE Globecom conference and the Craig M. Berge Faculty Fellowship at University of Arizona in 2024.

Selected Recent Papers and Pre-prints:

1. Speeding up Speculative Decoding via Approximate Verification
M. Zhong, N. Teku and and R. Tandon
Pre-print, 2025.

2. Fine-Grained Uncertainty Quantification via Collisions
J. Friedbaum, S. Adiga, and R. Tandon
Pre-print, 2024.

3. Trustworthy Actionable Perturbations
J. Friedbaum, S. Adiga, and R. Tandon
International Conference on Machine Learning (ICML), July 2024.

4. Latency-Distortion Tradeoffs in Communicating Classification Results over Noisy Channels
N. Teku, S. Adiga and R. Tandon
IEEE Transactions on Communications, 2024.

5. Generalization Bounds for Neural Belief Propagation Decoders
S. Adiga, X. Xiao, R. Tandon, B. Vasić and T. Bose
IEEE Transactions on Information Theory, 2024.

6. Online Context-aware Streaming Data Release with Sequence Information Privacy
B. Jiang, M. Li and R. Tandon
IEEE Transactions on Information Forensics and Security, 2024.

7. Intrinsic Fairness-Accuracy Tradeoffs under Equalized Odds
M. Zhong, and R. Tandon
IEEE International Symposium on Information Theory (ISIT), 2024.