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

dr. V. Roy

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

PhD thesis (Oct 2018): Spatio-temporal environment monitoring leveraging sparsity
Promotor: Geert Leus, Alexander Yarovoy

Expertise: Sensor network field estimation

Themes: XG - Next Generation Sensing and Communication

Biography

Venkat Roy was a PhD student in the CAS group, working on the SHINE project.

In 2011, he received the Best student paper award at the 18th IEEE Symposium on Communications and Vehicular Technology in the Benelux , Ghent, Belgium for the paper "Performance Evaluation of a Wavelet Packet-based Spectrum Estimator for Cognitive Radio Applications".

He obtained his PhD degree on 15 October 2018. He is currently with NXP, Eindhoven.

Projects history

Sensing Heterogeneous Information Network Environment

How can heterogeneous resources (people, mobile sensors, fixed sensors, social media, information systems, etc.) self-organize for answering information needs?

  1. G-Band Radar for Humidity and Cloud Remote Sensing
    K.B. Cooper; R.J. Roy; R. Dengler; R.R. Monje; M. Alonso-delPino; J.V. Siles; O. Yurduseven; C. Parashare; L. Millán; M. Lebsock;
    IEEE Transactions on Geoscience and Remote Sensing,
    2020. Early Access. DOI: 10.1109/TGRS.2020.2995325

  2. Validation Measurements of Humidity Profiling in Rain Using a 170 GHz Differential Absorption Radar
    K. Cooper; R. Roy; M. Lebsock; R. Dengler; R. Rodriguez-Monje; J. Siles; L. Millan; M. Alonso-delPino;
    In 30th International Symposium on Space Terahertz Technology (ISSTT),
    Gothenburg, Sweden, 2019.

  3. Spatio-temporal field estimation using Kriged Kalman Filter (KKF) with sparsity-enforcing sensor placement
    V. Roy; A. Simonetto; G. Leus;
    Sensors,
    Volume 8, Issue 6, 2018. DOI: 10.3390/s18061778
    document

  4. Spatio-Temporal Environment Monitoring Leveraging Sparsity
    Venkat Roy;
    PhD thesis, Delft University of Technology, October 2018. DOI: 10.4233/uuid:f6e26091-5885-4949-b1b0-a388e1bff3d3

  5. Spatio-temporal environment monitoring leveraging sparsity
    V. Roy;
    PhD thesis, TU Delft, Fac. EEMCS, October 2018. ISBN: 978-94-6380-073-0. DOI: 10.4233/uuid:f6e26091-5885-4949-b1b0-a388e1bff3d3
    document

  6. Dynamic rainfall monitoring using microwave links
    V. Roy; S. Gishkori; G. Leus;
    EURASIP J. Adv. Signal Processing,
    pp. 1-17, 2016. DOI: 10.1186/s13634-016-0367-6
    document

  7. Spatio-temporal sensor management for environmental field estimation
    V. Roy; A. Simonetto; G. Leus;
    Signal Processing,
    Volume 128, pp. 369-381, November 2016. DOI: 10.1016/j.sigpro.2016.05.011
    document

  8. Correlation-aware sparsity-enforcing sensor placement for spatio-temporal field estimation
    V. Roy; G. Leus;
    In Proc. Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP 2015),
    Brisbane (Australia), IEEE, pp. 2389-2393, May 2015. DOI: 10.1109/ICASSP.2015.7178399
    document

  9. Spatial Rainfall Mapping From Path-Averaged Rainfall Measurements Exploiting Sparsity
    V. Roy; S. Gishkori; G. Leus;
    In Proc. IEEE Global Conference on Signal and Information Processing,
    Atlanta (GA), IEEE, December 2014.

  10. Sparsity-Enforcing Sensor Selection for DOA Estimation
    V. Roy; S.P. Chepuri; G. Leus;
    In Proc. 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2013),
    Saint Martin (French West Indies), IEEE, December 2013.
    document

  11. Performance Evaluation of a Wavelet Packet-based Spectrum Estimator for Cognitive Radio Applications
    V. Roy; H. Nikookar;
    In Proc. 18th IEEE Symposium on Communications and Vehicular Technology in the Benelux,
    Ghent (Belgium), IEEE, November 2011.
    document

BibTeX support

Last updated: 24 Dec 2018

Venkat Roy

Alumnus
  • Left in 2018
  • Now: NXP, Eindhoven