Publications
Books/Monographs/Book Chapters
G. Joseph, Sparse Actuator Control of Discrete-Time Linear Dynamical Systems, Foundations and Trends in Systems and Control, vol. 11, no. 3, pp 186–284, 2024.
G. Joseph, S. Khanna, C. R. Murthy, R. Prasad, S. S. Thoota, Sparsity-Aware Bayesian Inference and its Applications, Handbook of Statistics, Elsevier, 2022.
Journal Articles
2024
Y. He and G. Joseph, Bayesian Algorithms for Kronecker-structured Sparse Vector Recovery With Application to IRS-MIMO Channel Estimation, accepted in IEEE Transactions on Signal Processing, Jun. 2024.
G. Joseph, C. Zhong, M. C. Gursoy, S. Velipasalar, and P. K. Varshney, Anomaly Detection via Learning-Based Sequential Controlled Sensing, in IEEE Sensors, vol. 24, no. 13, pp. 21025-21037, Jul. 2024.
G. Joseph, Convergence of Expectation-Maximization Algorithm with Mixed-Integer Optimization, in IEEE Signal Processing Letters, vol. 31, pp. 1229-1233, April. 2024.
Ç. Önen, A. Pandharipande, G. Joseph, and N. J. Myers, Occupancy Grid Mapping for Automotive Driving Exploiting Clustered Sparsity, in IEEE Sensors, vol. 24, no. 7, pp. 9240-9250, 1 April, 2024.
2023
G. Joseph, C. Zhong, M. C. Gursoy, S. Velipasalar, and P. K. Varshney, Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing, in IEEE Transactions on Signal and Information Processing over Networks, vol. 9, pp. 640-654, Sep. 2023
C. Sriram, G. Joseph, and C. R. Murthy, Stabilizability of Linear Dynamical Systems Using Sparse Control Inputs, in IEEE Transactions on Automatic Control, vol. 68, no. 8, pp. 5014-5021, Aug. 2023.
G. Joseph, Output Controllability of a Linear Dynamical System with Sparse Controls, in IEEE Transactions on Control of Network Systems, vol. 10, no. 1, pp. 147-156, Mar. 2023.
2022
G. Joseph, Controllability of a Linear System with Nonnegative Sparse Controls, IEEE Transactions on Automatic Control, vol. 67, no. 1, pp. 468-473, Jan. 2022.
2021
G. Joseph, B. Nettasinghe, V. Krishnamurthy, and P. K. Varshney, Controllability of Network Opinion in Erdos-Renyi Graphs using Sparse Control Inputs, in SIAM Journal on Control and Optimization, vol. 59, no. 3, pp. 2321-2345, 2021.
G. Joseph and P. K. Varshney, Measurement Bounds for Compressed Sensing in Sensor Networks with Missing Data, in IEEE Transactions on Signal Processing, vol. 69, pp. 905-916, 2021.
G. Joseph and C. R. Murthy, Controllability of Linear Dynamical Systems Under Input Sparsity Constraints, in IEEE Transactions on Automatic Control, vol. 66, no. 2, pp. 924-931, Feb. 2021. Longer version
2020 and earlier
G. Joseph and C. R. Murthy, On the Convergence of a Bayesian Algorithm for Joint Dictionary Learning and Sparse Recovery, in IEEE Transactions on Signal Processing, vol. 68, no. 1, pp. 343-358, Jan. 2020. Additional supplemental material Matlab Code
G. Joseph and C. R. Murthy, Measurement Bounds for Observability of Linear Dynamical Systems under Sparsity Constraints, in IEEE Transactions on Signal Processing, vol. 67, no. 8, pp. 1992-2006, Apr. 15, 2019.
G. Joseph and C. R. Murthy, On the Observability of a Linear System with a Sparse Initial State, in IEEE Signal Processing Letters, vol. 25, no. 7, pp. 994–998, Jul. 2018.
G. Joseph and C. R. Murthy, A Noniterative Online Bayesian Algorithm for the Recovery of Temporally Correlated Sparse Vectors, in IEEE Transactions on Signal Processing, vol. 65, no. 20, pp. 5510–5525, Oct. 2017. Matlab code
Conference Proceedings
2024
W. Yi, N. J. Myers, and G. Joseph, "Sparse Millimeter Wave Channel Estimation From Partially Coherent Measurements," in Proc. ICC, Denver, CO, USA, Jun. 2024. Matlab Code
R. K. Chakraborty, G. Joseph, and C. R. Murthy, "Bayesian Learning-based Kalman Smoothing for Linear Dynamical Systems With Unknown Sparse Inputs," in Proc. ICASSP, Seoul, Korea, Apr. 2024 (invited paper).
E. Focante, N. J. Myers, G. Joseph, A. Pandharipande, "Situation-aware Adaptive Transmit Beamforming for Automotive Radars," in Proc. ICASSP, Seoul, Korea, Apr. 2024.
2023
Ç. Önen, A. Pandharipande, G. Joseph, and N. J. Myers, LiDAR-Based Occupancy Grid Map Estimation Exploiting Spatial Sparsity, in Proc. IEEE Sensors, Vienna, Austria, Oct.-Nov. 2023.
Y. He and G. Joseph, Structure-aware Sparse Bayesian Learning-based Channel Estimation for Intelligent Reflecting Surface-aided MIMO, in Proc. ICASSP, Rhodes Island, Greece, Jun. 2023.
2022
S. Bulusu*, G. Joseph*, M. C. Gursoy, and P. K. Varshney, Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers, in Proc. NeurIPS, New Orleans, USA, Nov.-Dec., 2022 (*These authors contributed equally to the work).
G. Joseph and P. K. Varshney, State Estimation of Linear Systems With Sparse Inputs and Markov-modulated Missing Outputs, in Proc. EUSIPCO, Belgrade, Serbia, Aug.-Sep., 2022 (invited paper).
N. J. Myers, Y. Aslan, and G. Joseph, Near-field Focusing Using Phased Arrays With Dynamic Polarization Control, in Proc. EUSIPCO, Belgrade, Serbia, Aug.-Sep., 2022.
2021
G. Joseph, M. C. Gursoy, and P. K. Varshney, Temporal Detection of Anomalies via Actor-Critic Based Controlled Sensing, in Proc. Globecom, Madrid, Spain, Dec. 2021.
S. Kafle, G. Joseph, and P. K. Varshney, One-bit Compressed Sensing Using Untrained Network Prior, in Proc. ICASSP, Toronto, Canada, Jun. 2021.
G. Joseph, M. Cenk Gursoy, and Pramod K. Varshney, A Scalable Algorithm For Anomaly Detection via Learning-Based Controlled Sensing, in Proc. ICC, Montreal, Canada, Jun. 2021.
2020
G. Joseph, Chen Zhong, M. Cenk Gursoy, Senem Velipasalar, and Pramod K. Varshney, Anomaly Detection via Controlled Sensing and Deep Active Inference, in Proc. GLOBECOM, Taipei, Taiwan, Dec. 2020.
G. Joseph, C. R. Murthy, and V. J. Mathews, Sensor Placement for A Pairwise Sensing Model: Framework and Algorithms, in Proc. SPCOM, Bangalore, India, Jul. 2020.
G. Joseph and P. K. Varshney, Measurement Bounds for Compressed Sensing with Missing Data, in Proc. SPAWC, Atlanta, US, May 2020.
G. Joseph, M. C. Gursoy, and P. K. Varshney, Anomaly Detection Under Controlled Sensing Using Actor-Critic Reinforcement Learning, in Proc. SPAWC, Atlanta, US, May 2020.
G. Joseph, S. Kafle, and P. K. Varshney, One-bit Compressed Sensing using Generative Models, in Proc. ICASSP, Barcelona, Spain, May 2020.
C. Sriram, G. Joseph, and C. R. Murthy, Control of Linear Dynamical Systems Using Sparse Inputs, in Proc. ICASSP, Barcelona, Spain, May 2020.
2019 and earlier
G. Joseph, A. B. Zoubi, C. R. Murthy, and V. J. Mathews, Anomaly Imaging for Structural Health Monitoring Exploiting Clustered Sparsity, in Proc. ICASSP, Brighton, UK, May 2019.
G. Joseph and C. R. Murthy, Reconstruction of a Gaussian Random Field with Application to Spectrum Cartography, in Proc. ICC, Kuala Lumpur, Malaysia, May 2016.
P. N. Karthik, R. Ramakrishna, G. Joseph, C. R. Murthy, J. Sebastian, and N. B. Mehta, Model-based Interference Cartography and Visualization, in Proc. NCC, IIT Guwahati, India, Mar. 2016.
G. Joseph, C. R. Murthy, R. Prasad, and B. D. Rao, Online Recovery of Temporally Correlated Sparse Signals using Multiple Measurement Vectors, in Proc. GLOBECOM, San Diego, USA, Dec 2015.
Theses
G. Joseph, Linear Dynamical Systems with Sparsity Constraints: Theory and Algorithms, PhD Thesis, Dept. of ECE, Indian Institute of Science, Bangalore, Sep. 2019. (2022 IEEE Signal Processing Society Best PhD Dissertation Award)