Online Recovery of Temporally Correlated Sparse Signals Using Multiple Measurement Vectors. - Geethu Joseph; Chandra R. Murthy; Ranjitha Prasad; Bhaskar D. Rao (GLOBECOM, 2015)

Reconstruction of a Gaussian random field with application to spectrum cartography. - Geethu Joseph; Chandra R. Murthy (ICC, 2016)

A Noniterative Online Bayesian Algorithm for the Recovery of Temporally Correlated Sparse Vectors. - Geethu Joseph; Chandra R. Murthy (IEEE Trans. Signal Process., 2017)

On the Observability of a Linear System With a Sparse Initial State. - Geethu Joseph; Chandra R. Murthy (IEEE Signal Process. Lett., 2018)

Anomaly Imaging for Structural Health Monitoring Exploiting Clustered Sparsity. - Geethu Joseph; Ahmad B. Zoubi; Chandra R. Murthy; V. John Mathews (ICASSP, 2019)

Measurement Bounds for Observability of Linear Dynamical Systems Under Sparsity Constraints. - Geethu Joseph; Chandra Ramabhadra Murthy (IEEE Trans. Signal Process., 2019)

Anomaly Detection via Controlled Sensing and Deep Active Inference. - Geethu Joseph; Chen Zhong; Mustafa Cenk Gursoy; Senem Velipasalar; Pramod K. Varshney (GLOBECOM, 2020)

One-Bit Compressed Sensing Using Generative Models. - Geethu Joseph; Swatantra Kafle; Pramod K. Varshney (ICASSP, 2020)

Control of Linear Dynamical Systems Using Sparse Inputs. - Chandrasekhar Sriram; Geethu Joseph; Chandra R. Murthy (ICASSP, 2020)

Anomaly Detection Under Controlled Sensing Using Actor-Critic Reinforcement Learning. - Geethu Joseph; Mustafa Cenk Gursoy; Pramod K. Varshney (SPAWC, 2020)

Measurement Bounds for Compressed Sensing with Missing Data. - Geethu Joseph; Pramod K. Varshney (SPAWC, 2020)

Sensor Placement for A Pairwise Sensing Model: Framework and Algorithms. - Geethu Joseph; Chandra R. Murthy; V. John Mathews (SPCOM, 2020)

On the Convergence of a Bayesian Algorithm for Joint Dictionary Learning and Sparse Recovery. - Geethu Joseph; Chandra R. Murthy (IEEE Trans. Signal Process., 2020)

Temporal Detection of Anomalies via Actor-Critic Based Controlled Sensing. - Geethu Joseph; Mustafa Cenk Gursoy; Pramod K. Varshney (GLOBECOM, 2021)

One-Bit Compressed Sensing Using Untrained Network Prior. - Swatantra Kafle; Geethu Joseph; Pramod K. Varshney (ICASSP, 2021)

A Scalable Algorithm for Anomaly Detection via Learning-Based Controlled Sensing. - Geethu Joseph; Mustafa Cenk Gursoy; Pramod K. Varshney (ICC, 2021)

Controllability of Network Opinion in Erdös-Rényi Graphs Using Sparse Control Inputs. - Geethu Joseph; Buddhika Nettasinghe; Vikram Krishnamurthy; Pramod K. Varshney (SIAM J. Control. Optim., 2021)

Controllability of Linear Dynamical Systems Under Input Sparsity Constraints. - Geethu Joseph; Chandra R. Murthy (IEEE Trans. Autom. Control., 2021)

Measurement Bounds for Compressed Sensing in Sensor Networks With Missing Data. - Geethu Joseph; Pramod K. Varshney (IEEE Trans. Signal Process., 2021)

State Estimation of Linear Systems With Sparse Inputs and Markov-Modulated Missing Outputs. - Geethu Joseph; Pramod K. Varshney (EUSIPCO, 2022)

Near-field focusing using phased arrays with dynamic polarization control. - Nitin Jonathan Myers; Yanki Aslan; Geethu Joseph (EUSIPCO, 2022)

Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers. - Saikiran Bulusu; Geethu Joseph; Mustafa Cenk Gursoy; Pramod K. Varshney (NeurIPS, 2022)

Monitoring and Anomaly Detection Actor-Critic Based Controlled Sensing. - Geethu Joseph; Mustafa Cenk Gursoy; Pramod K. Varshney (CoRR, 2022)

Controllability of a Linear System With Nonnegative Sparse Controls. - Geethu Joseph (IEEE Trans. Autom. Control., 2022)

Structure-Aware Sparse Bayesian Learning-Based Channel Estimation for Intelligent Reflecting Surface-Aided MIMO. - Yanbin He; Geethu Joseph (ICASSP, 2023)

LiDAR-Based Occupancy Grid Map Estimation Exploiting Spatial Sparsity. - Çagan Önen; Ashish Pandharipande; Geethu Joseph; Nitin Jonathan Myers (SENSORS, 2023)

Anomaly Detection via Learning-Based Sequential Controlled Sensing. - Geethu Joseph; Chen Zhong; Mustafa Cenk Gursoy; Senem Velipasalar; Pramod K. Varshney (CoRR, 2023)

Joint State and Input Estimation for Linear Dynamical Systems with Sparse Control. - Rupam Kalyan Chakraborty; Geethu Joseph; Chandra R. Murthy (CoRR, 2023)

Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing. - Geethu Joseph; Chen Zhong; Mustafa Cenk Gursoy; Senem Velipasalar; Pramod K. Varshney (IEEE Trans. Signal Inf. Process. over Networks, 2023)

Output Controllability of a Linear Dynamical System With Sparse Controls. - Geethu Joseph (IEEE Trans. Control. Netw. Syst., 2023)

Stabilizability of Linear Dynamical Systems Using Sparse Control Inputs. - Chandrasekhar Sriram; Geethu Joseph; Chandra R. Murthy (IEEE Trans. Autom. Control., 2023)

Minimal Input Structural Modifications for Strongly Structural Controllability. - Geethu Joseph; Shana Moothedath; Jiabin Lin (CDC, 2024)

Bayesian Learning-Based Kalman Smoothing For Linear Dynamical Systems With Unknown Sparse Inputs. - Rupam Kalyan Chakraborty; Geethu Joseph; Chandra R. Murthy (ICASSP, 2024)

Situation-Aware Adaptive Transmit Beamforming for Automotive Radars. - Edoardo Focante; Nitin Jonathan Myers; Geethu Joseph; Ashish Pandharipande (ICASSP, 2024)

Sparse Millimeter Wave Channel Estimation from Partially Coherent Measurements. - Weijia Yi; Nitin Jonathan Myers; Geethu Joseph (ICC, 2024)

Transmit Beamforming for Phased Array Radars Under Uncertain Occupancy Grid Map Information. - Edoardo Focante; Nitin Jonathan Myers; Geethu Joseph; Ashish Pandharipande (IEEE SENSORS, 2024)

Sparsity-Aware Occupancy Grid Mapping for Automotive Driving Using Radar-LiDAR Fusion. - Peiyuan Zhai; Geethu Joseph; Nitin Jonathan Myers; Çagan Önen; Ashish Pandharipande (IEEE SENSORS, 2024)

Poisson Networked Control Systems: Statistical Analysis and Online Learning for Channel Access. - Gourab Ghatak; Geethu Joseph; Chen Quan (WiOpt, 2024)

Sparse Actuator Scheduling for Discrete-Time Linear Dynamical Systems. - Krishna Praveen V. S. Kondapi; Chandrasekhar Sriram; Geethu Joseph; Chandra R. Murthy (CoRR, 2024)

Channel Access Strategies for Control-Communication Co-Designed Networks. - Gourab Ghatak; Geethu Joseph; Chen Quan (CoRR, 2024)

Pointwise-Sparse Actuator Scheduling for Linear Systems With Controllability Guarantee. - Luca Ballotta; Geethu Joseph; Irawati Rahul Thete (IEEE Control. Syst. Lett., 2024)

Sparse Actuator Control of Discrete-Time Linear Dynamical Systems. - Geethu Joseph (Found. Trends Syst. Control., 2024)

Convergence of Expectation-Maximization Algorithm With Mixed-Integer Optimization. - Geethu Joseph (IEEE Signal Process. Lett., 2024)

Situation-aware Space-time Waveform Design for Automotive MIMO Radars. - Edoardo Focante; Nitin Jonathan Myers; Geethu Joseph; Ashish Pandharipande (ICASSP, 2025)

Kronecker-structured Sparse Vector Recovery with Application to IRS-MIMO Channel Estimation. - Yanbin He; Geethu Joseph (ICASSP, 2025)

On the Restricted Isometry Property of Kronecker-structured Matrices. - Yanbin He; Geethu Joseph (ICASSP, 2025)

Noise-Resilient Unlimited Sampling and Recovery of Sparse Signals. - Geethu Joseph (ICASSP, 2025)

Low-resolution compressed sensing and beyond for communications and sensing: Trends and opportunities. - Geethu Joseph; Venkata Gandikota; Ayush Bhandari; Junil Choi; In-soo Kim; Gyoseung Lee; Michail Matthaiou; Chandra R. Murthy; Hien Quoc Ngo; Pramod K. Varshney; Thakshila Wimalajeewa; Wei Yi; et al. (Signal Process., 2025)

Bayesian Algorithms for Kronecker-Structured Sparse Vector Recovery With Application to IRS-MIMO Channel Estimation. - Yanbin He; Geethu Joseph (IEEE Trans. Signal Process., 2025)

Efficient Off-Grid Bayesian Parameter Estimation for Kronecker-Structured Signals. - Yanbin He; Geethu Joseph (IEEE Trans. Signal Process., 2025)

Discrete-Time Linear Dynamical System Control Using Sparse Inputs With Time-Varying Support. - Krishna Praveen V. S. Kondapi; Chandrasekhar Sriram; Geethu Joseph; Chandra R. Murthy (CoRR, 2025)