Department of Microelectronics
Faculty of Electrical Engineering, Mathematics, and Computer Science

MSc R.K. Chakraborty

PhD student
Signal Processing Systems (SPS), Department of Microelectronics

Expertise: automotive radar sensing

Themes: Autonomous sensor systems

Biography

Rupam completed his MSc in Electrical and Computer Engineering from the Indian Institute of Science, Bangalore. In his masters he worked on sparse signal recovery and its application in control. Subsequently he worked in a startup called Signalchip where he carried out theoretical analysis of a tracking loop in a GNSS software receiver.

Signal processing for environment-aware radar

In future, cars will exploit multiple radars towards autonomous driving. Before this becomes a reality, several challenges will have to be solved.

  1. 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

  2. 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

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

BibTeX support

Last updated: 24 May 2024

Rupam Chakraborty

MSc students