Geethu Joseph

1. Sparse Millimeter Wave Channel Estimation Under Partially Coherent Phase Noise
   Quan, Chen; Yi, Weijia; Myers, Nitin Jonathan; Joseph, Geethu;
   IEEE Transactions on Wireless Communications,
   2026. DOI: 10.1109/TWC.2026.3684356
   document

2. Energy-Efficient Sequential Estimation Via Sensor Ordering
   Quan, Chen; Joseph, Geethu; Myers, Nitin Jonathan;
   IEEE Transactions on Signal and Information Processing over Networks,
   pp. 1-13, 2026. DOI: 10.1109/TSIPN.2026.3685830
   document

3. Camera-Aided Binary Prior Support-Informed Occupancy Grid Mapping
   Zhai, Peiyuan; Joseph, Geethu; Jonathan Myers, Nitin; Pandharipande, Ashish;
   IEEE Sensors Journal,
   Volume 26, Issue 3, pp. 4340-4348, 2026. DOI: 10.1109/JSEN.2025.3642255
   document

4. Channel Access Strategies for Control–Communication Co-Designed Networks
   Ghatak, Gourab; Joseph, Geethu; Quan, Chen;
   IEEE Transactions on Control of Network Systems,
   Volume 13, Issue 1, pp. 117-129, 2026. DOI: 10.1109/TCNS.2025.3621024
   document

5. Bayesian Algorithms for Kronecker-structured Sparse Vector Recovery With Application to IRS-MIMO Channel Estimation
   Yanbin He; Geethu Joseph;
   IEEE Transactions on Signal Processing,
   pp. 142-157, 2025. DOI: 10.1109/TSP.2024.3416543
   document

6. Low-Resolution Compressed Sensing and Beyond for Communications and Sensing: Trends and Opportunities
   Geethu Joseph; et al.;
   Elsevier Signal Processing,
   2025.

7. Efficient Off-Grid Bayesian Parameter Estimation for Kronecker-Structured Signals
   Yanbin He; G. Joseph;
   IEEE Transactions on Signal Processing,
   Volume 73, pp. 2616-2630, 2025. DOI: https://doi.org/10.1109/TSP.2025.3583895
   
   Abstract: ...

   This work studies the problem of jointly estimating unknown parameters from Kronecker-structured multidimensional signals, which arises in applications like intelligent reflecting surface (IRS)-aided channel estimation. Exploiting the Kronecker structure, we decompose the estimation problem into smaller, independent subproblems across each dimension. Each subproblem is posed as a sparse recovery problem using basis expansion and solved using a novel off-grid sparse Bayesian learning (SBL)-based algorithm. Additionally, we derive probabilistic error bounds for the decomposition, quantify its denoising effect, and provide convergence analysis for off-grid SBL. Our simulations show that applying the algorithm to IRS-aided channel estimation improves accuracy and runtime compared to state-of-the-art methods through the low-complexity and denoising benefits of the decomposition step and the high-resolution estimation capabilities of off-grid SBL.
   
   document

8. Accelerated Pattern-Coupled Sparse Bayesian Learning for Automotive Occupancy Mapping
   Harraway, Frank; Zhai, Peiyuan; Joseph, Geethu; Pandharipande, Ashish;
   IEEE Sensors Journal,
   Volume 25, Issue 22, pp. 41801-41810, 2025. DOI: 10.1109/JSEN.2025.3617133
   document

9. State and Sparse Input Estimation in Linear Dynamical Systems Using Low-Dimensional Measurements
   Chakraborty, Rupam Kalyan; Joseph, Geethu; Murthy, Chandra R.;
   IEEE Open Journal of Control Systems,
   Volume 4, pp. 581-596, 2025. DOI: 10.1109/OJCSYS.2025.3624615
   document

10. Spatial Sparsity-Aware Radar-LiDAR Fusion for Occupancy Grid Mapping in Automotive Driving
    Zhai, Peiyuan; Joseph, Geethu; Myers, Nitin Jonathan; Önen, Çağan; Pandharipande, Ashish;
    IEEE Sensors Journal,
    Volume 25, Issue 17, pp. 33328-33338, 2025. DOI: 10.1109/JSEN.2025.3592023
    document

11. Noise-Resilient Unlimited Sampling and Recovery of Sparse Signals
    Joseph, Geethu;
    In 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    pp. 1-5, 2025. DOI: 10.1109/ICASSP49660.2025.10888741
    document

12. On the Restricted Isometry Property of Kronecker-structured Matrices
    He, Yanbin; Joseph, Geethu;
    In 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    pp. 1-5, 2025. DOI: 10.1109/ICASSP49660.2025.10888132

13. Kronecker-structured Sparse Vector Recovery with Application to IRS-MIMO Channel Estimation
    He, Yanbin; Joseph, Geethu;
    In 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    pp. 1-5, 2025. DOI: 10.1109/ICASSP49660.2025.10890014
    document

14. Situation-aware Space-time Waveform Design for Automotive MIMO Radars
    Focante, Edoardo; Myers, Nitin Jonathan; Joseph, Geethu; Pandharipande, Ashish;
    In 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    pp. 1-5, 2025. DOI: 10.1109/ICASSP49660.2025.10890749
    document

15. An Energy-Efficient Ordered Transmission-based Sequential Estimation
    Quan, Chen; Joseph, Geethu; Myers, Nitin Jonathan;
    In 2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring),
    pp. 1-6, 2025. DOI: 10.1109/VTC2025-Spring65109.2025.11174545} url = {https://sp

16. A Hierarchical View of Structured Sparsity in Kronecker Compressive Sensing
    Yanbin He; Geethu Joseph;
    In 2025 33rd European Signal Processing Conference (EUSIPCO),
    Sept. 2025. DOI: 10.23919/EUSIPCO63237.2025.11226345
    document

17. Computationally-Efficient Sparsity-Aware Occupancy Grid Mapping for Automotive Driving
    Harraway, Frank; Zhai, Peiyuan; Pandharipande, Ashish; Joseph, Geethu;
    In 2025 IEEE SENSORS,
    pp. 1-4, 2025. DOI: 10.1109/SENSORS59705.2025.11331194
    document

18. Adaptive Dithering for Improved Dynamic Range in Mixed-Resolution ADC Digital Radars
    Shaikh, Mohammed Aasim; Joseph, Geethu; Pandharipande, Ashish; Myers, Nitin Jonathan;
    In 2025 IEEE Radar Conference (RadarConf25),
    pp. 1242-1247, 2025. DOI: 10.1109/RadarConf2559087.2025.11205063
    document

19. Non-Line-Of-Sight Localization in Automotive Radar Via Intelligent Reflecting Surfaces
    Chakraborty, Rupam Kalyan; Joseph, Geethu; Myers, Nitin Jonathan; Pandharipande, Ashish;
    In 2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC),
    pp. 1-5, 2025. DOI: 10.1109/SPAWC66079.2025.11143303
    document

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

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

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

23. 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.

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

25. 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.

26. Sparse Actuator Control of Discrete-Time Linear Dynamical Systems
    Geethu Joseph;
    Now Publishers, Inc., , 2024. DOI: 10.1561/2600000033
    document

27. Sparsity-Constrained Linear Dynamical Systems
    Geethu Joseph; Chandra R. Murthy;
    Springer Tracts in Electrical and Electronics Engineering, Springer, Singapore, , 2024. DOI: 10.1007/978-981-97-7090-8

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

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

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

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

32. 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.

33. 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.

34. 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.

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

36. 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.

37. 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

38. 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

39. 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

40. 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.

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

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

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

44. 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

45. 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.

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

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

48. 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).

49. 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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