Publications

1. D. Seo, R. K. Raman, L. R. Varshney, "Decision Making in Star Networks with Incorrect Beliefs," in IEEE Transactions on Signal Processing, Nov. 2021

2. R. K. Raman, L. R. Varshney, "Coding for Scalable Blockchains via Dynamic Distributed Storage," in IEEE/ACM Transactions on Networking, Aug. 2021

3. D. Seo, R. K. Raman, J. B. Rhim, V. K. Goyal, and L. R. Varshney, "Beliefs in Decision-making Cascades," in IEEE Transactions on Signal Processing, Aug. 2019

4. Y. Kim, R. K. Raman, Y-S. Kim, L. R. Varshney, N. Shanbag, "Efficient Local Secret Sharing for Distributed Blockchain Systems," in IEEE Communication Letters, Feb. 2019

5. R.K. Raman, L.R. Varshney, “Universal Joint Image Registration and Clustering using Multivariate Information Measures”, IEEE Journal on Selected Topics in Signal Processing, Jul. 2018

6. R.K. Raman, K. Jagannathan, “Downlink Resource Allocation under Time-varying Interference: Fairness and Throughput Optimality”, IEEE Transactions on Wireless Communications, Nov. 2017

• On the Information Theory of Clustering, Registration, and Blockchains

Ph.D.

Department of Electrical and Computer Engineering,

University of Illinois, Urbana-Champaign

May 2019

• Optimal Downlink Resource Allocation under Time-varying Interference

M. Tech

Department of Electrical Engineering,

Indian Institute of Technology Madras, India

May 2014

1. R. K. Raman and L. R. Varshney, "Information-Theoretic Approaches to Scalable Blockchain Systems and Distributed Trust", to appear in Handbook of Blockchain, My Thai, Bhaskar Krishnamachari, and Duc Tran, Springer, 2022

2. R. K. Raman and L. R. Varshney, "Universal Clustering," in Information-Theoretic Methods in Data Science, Y. Eldar and M. Rodrigues (eds.), Cambridge University Press, 2021

1. R. K. Raman and L. R. Varshney, “Registration of Finite Resolution Images: Second-Order Analysis,” in Proceedings of the 2020 IEEE International Symposium on Information Theory (ISIT), Jun. 2020

2. D. Seo, R. K. Raman, and L. R. Varshney, “Social Learning with Beliefs in a Parallel Network,” in Proceedings of the 2020 IEEE International Symposium on Information Theory (ISIT), Jun. 2020

3. R.K. Raman, R. Vaculin, M. Hind, S.L. Remy, E.K. Pissadaki, N.K. Bore, R. Daneshvar, B. Srivastava, K.R. Varshney, "A Scalable Blockchain Approach for Trusted Computation and Verifiable Simulation in Multi-Party Collaborations", to appear in Proceedings of the 2019 IEEE International Conference on Blockchains and Cryptocurrency (ICBC 2019), May 2019

4. N.K. Bore, R.K. Raman, I.M. Serfaty, S.L. Remy, O. Bent, M. Hind, E.K. Pissadaki, B. Srivastava, R. Vaculin, K.R. Varshney, K. Weldemariam, "Promoting Distributed Trust in Machine Learning and Computational Simulation", to appear in Proceedings of the 2019 IEEE International Conference on Blockchains and Cryptocurrency (ICBC 2019), May 2019

5. R.K. Raman, K.R. Varshney, R. Vaculin, N.K. Bore, S.L. Remy, E.K. Pissadaki, M. Hind, "Constructing and Compressing Frames in Blockchain-based Verifiable Multi-party Computation", to appear in Proceedings of the 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), May 2019

6. R.K. Raman and L. R. Varshney, “Dynamic Distributed Storage for Blockchains,” in Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT), June 2018.

7. D.Seo, R.K. Raman, L.R.Varshney, “Probability Reweighting in Social Learning: Optimality and Suboptimality”, in Proceedings 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Apr. 2018

8. R.K. Raman, S. Pattabiraman, “Selfish Learning: Leveraging the Greed in Social Learning”, in Proceedings 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Apr. 2018

9. R.K. Raman, L.R.Varshney, “Distributed Storage Meets Secret Sharing on the Blockchain”, in Proceedings of the 2018 Information Theory and its Applications Workshop (ITA), Feb., 2018 (LRV invited)

10. R.K. Raman, L.R.Varshney, “Universal Joint Image Clustering and Registration using Partition Information”, in the Proceedings of the 2017 IEEE International Symposium on Information Theory (ISIT), June, 2017

11. R.K. Raman, L.R.Varshney, “Budget-optimal Clustering via Crowdsourcing", in the Proceedings of the 2017 IEEE International Symposium on Information Theory (ISIT), June, 2017

12. M. Jere, R.K. Raman, L.R.Varshney, “The Eurekometric Connectome: Discovering unexplored areas of neuroscience research”, at the International School and Conference on Network Science (NetSci), June, 2017

13. R.K. Raman, H. Yu, L.R.Varshney, “Illum Information”, in the Proceedings of the 2017 Information Theory and its Applications Workshop (ITA), Feb., 2017 (LRV invited)

14. R.K. Raman, K. Jagannathan, “Downlink Resource Allocation under Time-varying Interference: Fairness and Throughput Optimality”, in the Proceedings of the 52nd Annual Allerton Conference on Communication, Control, and Computing, Oct., 2014

1. R. K. Raman, and L. R. Varshney, "Finite Sample Analysis of Image Registration," arXiv:2001.03869, Jan., 2020

2. D. Seo, R. K. Raman, and L. R. Varshney, "Social Learning with Beliefs in a Parallel Network," arXiv:1912.12284, Dec., 2019

3. D. Seo, R. K. Raman, J. B. Rhim, V. K. Goyal, and L. R. Varshney, "Beliefs and Expertise in Sequential Decision-making," arXiv:1812.04419, Nov., 2018

4. N.K. Bore, R.K. Raman, I.M. Serfaty, S.L. Remy, O. Bent, M. Hind, E.K. Pissadaki, B. Srivastava, R. Vaculin, K.R. Varshney, K. Weldemariam, "Promoting Distributed Trust in Machine Learning via a Blockchain Network", arXiv:1810.11126, Oct. 2018

5. R.K. Raman, R. Vaculin, M. Hind, S.L. Remy, E.K. Pissadaki, N.K. Bore, R. Daneshvar, B. Srivastava, K.R. Varshney, “Trusted Multi-Party Computation and Verifiable Simulations: A Scalable Blockchain Approach”, arXiv:1809.08438, Sep.., 2018

6. R.K. Raman, L.R.Varshney, “Dynamic Distributed Storage for Scaling Blockchains”, arXiv:1711.07617, Nov., 2017

7. R.K. Raman, L.R.Varshney, “Universal Joint Image Clustering and Registration using Partition Information”, arXiv:1701.02776, Jan., 2017

8. R.K. Raman, L.R. Varshney, “Universal Clustering via Crowdsourcing”, arXiv:1610.02276, Oct., 2016.

1. S. Pattabiraman and R.K. Raman, "Selfish Learning: Leveraging the Greed in Social Learning", poster at 13th Coordinated Science Lab Student Conference, Feb. 2018 (SP presented)

2. R.K. Raman and L.R. Varshney, "Unsupervised Image Clustering and Registration using Multivariate Information Measures", at 13th Coordinated Science Lab Student Conference, Feb. 2018

3. R.K. Raman and L.R. Varshney, "Universal Image Registration and Clustering using Multivariate Information", poster at Information Theory Applications Workshop (ITA), Feb. 2018

4. R.K. Raman and L.R. Varshney, "Budget-optimal clustering using universal crowdsourcing", at Human-Centered Data Science and Social Computing session, Illinois Data Science Day, Oct. 2017

5. M. Jere, R.K. Raman, L.R.Varshney, “The Eurekometric Connectome: Discovering unexplored areas of neuroscience research”, at the Big Data Neuroscience Workshop 2017, organized by Advanced Computational Neuroscience Network (ACNN), Sep., 2017

6. R.K. Raman, L.R. Varshney, “Universal Crowdsourcing for Classification", poster at North American School of Information Theory, June, 2016