Geethu Joseph

1. Convergence of Expectation-Maximization Algorithm with Mixed-Integer Optimization
   Geethu Joseph;
   IEEE Signal Processing Letters,
   2024.

2. Anomaly Detection via Learning-Based Sequential Controlled Sensing
   Geethu Joseph; Chen Zhong; M. Cenk Gursoy; Senem Velipasalar; Pramod K. Varshney;
   IEEE Sensors,
   2024.

3. Occupancy Grid Mapping for Automotive Driving Exploiting Clustered Sparsity
   Çağan Önen; Ashish Pandharipande; Geethu Joseph; Nitin Jonathan Myers;
   IEEE Sensors,
   2024.

4. Bayesian Algorithms for Kronecker-structured Sparse Vector Recovery With Application to IRS-MIMO Channel Estimation
   Yanbin He; Geethu Joseph;
   IEEE Transactions on Signal Processing,,
   2024.

5. Sparse Actuator Control of Discrete-Time Linear Dynamical Systems
   Geethu Joseph;
   Foundations and Trends in Systems and Control,
   2024.

6. Situation-aware Adaptive Transmit Beamforming for Automotive Radars
   Edoardo Focante; Nitin Jonathan Myers; Geethu Joseph; Ashish Pandharipande;
   In ICASSP,
   2024.

7. Sparse Millimeter Wave Channel Estimation From Partially Coherent Measurements
   Weijia Yi; Nitin Jonathan Myers; Geethu Joseph;
   In ICC,
   2024.

8. Bayesian Learning-based Kalman Smoothing for Linear Dynamical Systems With Unknown Sparse Inputs
   Rupam Kalyan Chakraborty; Geethu Joseph; Chandra R. Murthy;
   In ICASSP,
   2024.

9. Stabilizability of Linear Dynamical Systems Using Sparse Control Inputs
   Chandrasekhar Sriram; Geethu Joseph; Chandra R. Murthy;
   IEEE Transactions on Automatic Control,
   2023. DOI: 10.1109/TAC.2022.3217102

10. Stabilizability of Linear Dynamical Systems Using Sparse Control Inputs
    Chandrasekhar Sriram; Geethu Joseph; Chandra R. Murthy;
    IEEE Transactions on Automatic Control,
    2023. DOI: 10.1109/TAC.2022.3217102

11. Output Controllability of a Linear Dynamical System with Sparse Controls
    Geethu Joseph;
    IEEE Transactions on Control of Network Systems,
    2023. DOI: 10.1109/TCNS.2022.3188484

12. Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing
    Geethu Joseph; Chen Zhong; M. Cenk Gursoy; Senem Velipasalar; Pramod K. Varshney;
    IEEE Transactions on Signal and Information Processing over Networks,
    2023.

13. Occupancy Grid Mapping for Automotive Driving Exploiting Clustered Sparsity
    Çağan Önen; Ashish Pandharipande; Geethu Joseph; Nitin Jonathan Myers;
    IEEE Sensors Journal,
    2023.

14. Structure-aware Sparse Bayesian Learning-based Channel Estimation for Intelligent Reflecting Surface-aided MIMO
    Yanbin He; Geethu Joseph;
    In ICASSP,
    2023.

15. LiDAR-Based Occupancy Grid Map Estimation Exploiting Spatial Sparsity
    Çağan Önen; Ashish Pandharipande; Geethu Joseph; Nitin Jonathan Myers;
    In IEEE Sensors,
    2023.

16. Output Controllability of a Linear Dynamical System with Sparse Controls
    Geethu Joseph;
    IEEE Transactions on Control of Network Systems,
    2022. DOI: 10.1109/TCNS.2022.3188484

17. Sparsity-aware Bayesian inference and its applications
    Joseph, Geethu; Khanna, Saurabh; Murthy, Chandra R; Prasad, Ranjitha; Thoota, Sai Subramanyam;
    In Handbook of Statistics,
    Elsevier BV, 2022.

18. State Estimation of Linear Systems With Sparse Inputs and Markov-modulated Missing Outputs
    Geethu Joseph; Pramod K. Varshney;
    In European Signal Processing Conference,
    2022.

19. Near-field Focusing Using Phased Arrays With Dynamic Polarization Control
    Nitih Jonathan Myers; Yanki Aslan; Geethu Joseph;
    In European Signal Processing Conference,
    2022.

20. Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers
    Saikiran Bulusu; Geethu Joseph; M. Cenk Gursoy; Pramod K. Varshney;
    In Neurips,
    2022. (S. Bulusu and G. Joseph have equal contribution).

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