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Saurabh Khanna

Saurabh Khanna

Assistant Professor

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Compressive Sensing, Inference and learning with sparse/deep generative models, Signal processing for communication and imaging, FMCW Radar Signal Processing

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
Scheme Sponsoring Agency Other Faculties Year Sponsored
Core Research Grant for project titled "Compressed Sensing-Based Ultra-High Resolution Automotive FMCW Radars" SERB 2024-27
Membership Details
IEEE, Member
Topic Scholar Name Status of PhD Registration Year
Compressed Sensing of R-Separable Data Neha Singh Ongoing 2021
To be decided Prishail Mishra Ongoing Dec 2022
To be decided Namrata Saha Ongoing 2023
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
Sparsity-aware techniques for cross-interference cancellation in automotive FMCW Radars Short Term Course on Advances in Communication and Signal Processing Techniques (ACST-2023) in NIT Kurukshetra 2023

Journal Publications:

(J5) S. Khanna and C. R. Murthy, "On the Support Recovery of Jointly Sparse Gaussian Sources via Sparse Bayesian Learning," in IEEE Transactions on Information Theory, vol. 68, no. 11, pp. 7361-7378, Nov. 2022.

(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.

Book Chapters:

(B1) G. Joseph, S. Khanna, C. R. Murthy, R. Prasad, S. Thoota, Sparsity-aware Bayesian inference and its applications, in Handbook of Statistics, vol. 47, pp. 161-207, 2022

Conference Proceedings:

(C8) D. Goel and S. Khanna, "Semi-NMF Regularization-Based Autoencoder Training for Hyperspectral Unmixing", 30th National Conference on Communications (NCC), Madras, India, 2024 (accepted). 

(C7) N. Singh and S. Khanna, "Desketching of R-Separable Matrices From Compressive Linear Measurements," 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), Rome, Italy, 2023. 

(C6) M. Singhal and S. Khanna, "Proximal Subgradient Descent Method for Cancelling Cross-Interference in FMCW Radars," 2023 IEEE Statistical Signal Processing Workshop (SSP), Hanoi, Vietnam, 2023, pp. 225-229.

(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.