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. Adaptive Beamforming for Situation-aware Automotive Radars Under Uncertain Side Information
   Edoardo Focante; Nitin Jonathan Myers; Geethu Joseph; Ashish Pandharipande;
   IEEE Transactions on Signal Processing,
   2024.

6. Pointwise-Sparse Actuator Scheduling for Linear Systems with Controllability Guarantee
   Luca Ballotta; Geethu Joseph; Irawati Rahul Thete;
   IEEE Control Systems Letters,
   2024.

7. Comprehensive MPSP for Fast Optimal Control: Algorithm Development and Convergence Analysis
   Prem Kumar; Geethu Joseph; Chandra R. Murthy; Radhakant Padhi;
   Transactions of the Indian National Academy of Engineering,
   2024.

8. Sparse Actuator Control of Discrete-Time Linear Dynamical Systems
   Geethu Joseph;
   Now Publishers, Inc., , 2024. DOI: https://www.nowpublishers.com/article/Details/SYS-033

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

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

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

12. Minimal Input Structural Modifications for Strongly Structural Controllability
    Geethu Joseph; Shana Moothedath; Jiabin Lin;
    In CDC,
    2024.

13. Transmit Beamforming for Phased Array Radars Under Uncertain Occupancy Grid Map Information
    Edoardo Focante; Nitin Jonathan Myers; Geethu Joseph; Ashish Pandharipande;
    In IEEE Sensors,
    2024.

14. Sparsity-Aware Occupancy Grid Mapping for Automotive Driving Using Radar-LiDAR Fusion
    Peiyuan Zhai; Geethu Joseph; Nitin Jonathan Myers; Çağan Önen; Ashish Pandharipande;
    In IEEE Sensors,
    2024.

15. Transmit Beamforming for Phased Array Radars Under Uncertain Occupancy Grid Map Information
    Edoardo Focante; Nitin Jonathan Myers; Geethu Joseph; Ashish Pandharipande;
    In IEEE Sensors,
    2024.

16. Poisson Networked Control Systems: Statistical Analysis and Online Learning for Channel Access
    Gourab Ghatak; Geethu Joseph; Chen Quan;
    In WiOpt workshop RAWNET,
    2024.

17. Sparse Actuator Scheduling for Discrete-Time Linear Dynamical Systems
    Krishna Praveen V. S. Kondapi; Chandrasekhar Sriram; Geethu Joseph; Chandra R. Murthy;
    In Indian Control Conference,
    2024.

18. 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

19. 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

20. 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

21. 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.

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

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

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

25. 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

26. 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.

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

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

29. 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).

30. Sensorized nanoliter reactor chamber for DNA multiplication
    V.P. Iordanov; B.P. Iliev; V. Joseph; J. Bastemeijer; P.M. Sarro; I.T. Young; G. van DedemWK; M.J. Vellekoop;
    In D. Rocha; P.M. Sarro; M.J. Vellekoop (Ed.), Proceedings of IEEE Sensors, 2004,
    IEEE, Piscataway, pp. 229-232, 2004. niet eerder opgevoerd 50/50 EI/ECTM.

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