Research Interests : Classical and Quantum Information Science.
My research interests lie at the intersection of information systems and
applied mathematics. My pursuits are directed towards designing
efficient/optimal algorithms for information processing tasks in current day
networks. In particular, I emphasize designing technology-independent algorithms
that are applicable for generic scenarios and providing provable guarantees on
their performance. To accomplish this, my research involves developing a
general theoretical formulation of the problem and leveraging tools from
probability theory, combinatorics, algebra, optimization, among others to
design and analyze algorithms. Some of my recent findings include the use of novel techniques for
addressing current challenges in data science. My other findings also include new results on
certain long-standing problems (For instance see Part I and Part II). My publications detail my
research contributions. You may find my research presentations more
I presented a tutorial on Quantum Information at SPCOM 2020. I have made available slides of my part of the tutorial here. You may contact me if you wish to view the video of this tutorial.
Latest Research Highlights
Our work on PAC Learning into Quantum Measurement Classes was presented at AISTATS 2022. Details can be found here.
We presented new results on the problem of one-shot measurement compression with quantum side information and compression of quantum instruemnts at ISIT 2022. Preprint of journal article can be found here.
I presented new inner bounds on the capacity of classical-quantum multiple access channel with classical side information at ISIT 2022. Preprint of journal article can be found here.
I presented new inner bounds on the capacity of classical-quantum broadcast channels at ISIT 2022. Preprint of journal article can be found here.
Some of my recent findings in quantum information theory can be found here.
Our book on an algebraic framework for network communication has been published by Foundations and Trends in Communications and Information Theory and is available for purchase.
Email : arunpr[AT]utk.edu.
Office : 607 Min H Kao Bldg, 1520 Middle Drive, Knoxville, TN 37996