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Saurabh Khanna

Saurabh Khanna

Assistant Professor

sakhanna@ece.iitr.ac.in
+91-1332-28-4956
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Compressive Sensing, Inference and learning with sparse/deep generative models, Signal processing for communication and imaging
From To Designation Organisation
July 2007 April 2016 Design Engineer Texas Instruments India Pvt. Ltd.
July 2018 August 2020 Postdoctoral Research Fellow National University of Singapore
Sept 2020 Now Assistant Professor Indian Institute of Technology Roorkee
Degree Subject University Year Studied
B. Tech Electrical Engineering Indian Institute of Technology Kanpur 2007
Ph.D. Electrical Communication Engineering Indian Institute of Science 2018
Membership Details
IEEE, Member
Title Place Date Delivered
Joint tutorial talk with Prof. Chandra R. Murthy on “The surprising effectiveness of hierarchical Bayesian methods for sparse signal recovery” in Workshop on Stochastic Optimization in Networks and Related Topics Indian Institute of Technology Bombay 2018

Journal Publications:

(J4) S. Khanna and C. R. Murthy, “Sparse Recovery From Multiple Measurement Vectors Using Exponentiated Gradient Updates,” in IEEE Signal Processing Letters, vol. 25, no. 10, pp. 1485-1489, Oct. 2018.

(J3) S. Khanna and C. R. Murthy, “On the Restricted Isometry of Column-wise Khatri-Rao Product”, IEEE Transactions on Signal Processing, vol. 66, no. 5, pp. 1170-1183, Dec. 2017.

(J2) S. Khanna and C. R. Murthy, “Communication Efficient Decentralized Sparse Bayesian Learning of Joint Sparse Signals”, IEEE Transactions on Signal and Information Processing over Networks, vol. 3, no. 3, pp. 617–630, Nov. 2016.

(J1) S. Khanna and C. R. Murthy, “Decentralized Joint-Sparse Signal Recovery: A Sparse Bayesian Learning Approach”, IEEE Transactions on Signal and Information Processing over Networks, vol. 3, no. 1, pp. 29–45, Sept. 2016.

Conference Proceedings:

(C5) S. Khanna and V. Y. F. Tan, “Economy Statistical Recurrent Units for Inferring Nonlinear Granger Causality”, International Conference on Learning Representations (ICLR), 2020, Addis Ababa.

(C4) S. Khanna and C. R. Murthy, “Renyi Divergence Based Covariance Matching Pursuit of Joint Sparse Support”, IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2017, Sapporo, pp. 1-5.

(C3) S. Khanna and C. R. Murthy, “Decentralized Bayesian learning of jointly sparse signals”, IEEE GLOBECOM Conference, Austin, TX, 2014, pp. 3103-3108.

(C2) J. Tangudu, K. Ramasubramanian, K. Subburaj, S. Khanna and S. Chomal, “Techniques to enhance GNSS signal acquisition and tracking sensitivity”, International Conference on Indoor Positioning and Indoor Navigation, Montbeliard-Belfort, 2013, pp. 1-10.

(C1) H. Snoussi and S. Khanna and D. Hewson and J. Duchene, “Number of Sources Uncertainty in Blind Source Separation”, 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, 2007, pp. 6515-6518.

Total Citations
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