R. Narasimha, S. Dihidar, C. Ji, S. McLaughlin, "Scalable Diagnosis in IP Networks Using Path-Based Measurement and Inference: A Learning Approach," Elsevier Journal of Visual Communication and Image Representation, Vol. 21, No. 2, pp. 175–191, Feb. 2010.

R. Narasimha, S. Dihidar, S. W. McLaughlin, C. Ji, "Scalable Fault Diagnosis in IP Networks using Graphical Models: A Variational Inference Approach," Proc. IEEE International Conference on Communications (ICC), Glasgow, Scotland, 2007.

A. Thangaraj, S. Dihidar, A. R. Calderbank, S. W. McLaughlin, J. M. Merolla, "Applications of LDPC Codes to the Wiretap Channel," IEEE Transactions on Information Theory, 53(8), pp. 2933–2945, August 2007.

R. Narasimha, S. Dihidar, S. W. McLaughlin, C. Ji, "A Scalable Probing-based Approach to Localize Congestion using Message Passing," Proc. IEEE International Conference on Communications (ICC), Istanbul, Turkey, 11–15 June, 2006.

S. Dihidar, A. Thangaraj, S. W. McLaughlin, "Linear-time Decodable Secrecy Codes for Binary Erasure Wiretap Channels," Proc. 43rd Annual Allerton Conference on Communication, Control, and Computing, Illinois Univ. Press, Monticello, IL, 28–30 Sept., 2005.

R. Narasimha, S. Dihidar, S. W. McLaughlin, C. Ji, "A Scalable Approach to Localize Congestion using Coding Theory," Proc. 43rd Annual Allerton Conference on Communication, Control, and Computing, Illinois Univ. Press, Monticello, IL, 28–30 Sept., 2005.

A. Thangaraj, S. Dihidar, A. R. Calderbank, S. W. McLaughlin, J. M. Merolla, "On achieving capacity on the wiretap channel using LDPC codes," Proc. IEEE International Symposium on Information Theory, Adelaide, Australia, 4–9 September, 2005.

A. Thangaraj, S. Dihidar, A. R. Calderbank, S. W. McLaughlin, J. M. Merolla, "On Capacity Achieving Codes for the Wiretap Channel," Proc. Benelux Workshop on Information Theory, Brussels, Belgium, May 2005.

S. Dihidar, S. W. McLaughlin, P. Tetali, "On the trade-off between rate and decoding performance of Expander codes on AWGN channels," Proc. IEEE International Symposium on Information Theory, Chicago, IL, 27 June–2 July, 2004.