Dr. V. (Venkat) Roy
I am a statistical signal processing engineer interested in modelling the spatio-temporal characteristics of environmental processes. Currently, I am working as a post-doctoral researcher on the topic of ‘’rainfall nowcasting’’.
In 2010, I received the Master of Technology (M.Tech.) degree in Radio Physics and Electronics from the University of Calcutta, India. I was an Erasmus Mundus “Mobility for Life” scholar (funded by European Commission) for one year (2011) at the Delft University of Technology, Delft, The Netherlands. In this period, I received the best student paper award at the 18th IEEE Symposium on Communications and Vehicular Technology in Benelux, Ghent, Belgium. In 2018, I obtained my PhD degree in Electrical Engineering from the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) of the Delft University of Technology. During my Ph.D., I had actively collaborated with the Royal Netherlands Meteorological Institute (KNMI). From September 2017 to April 2019, I worked as a radar signal processing engineer (automotive applications) at NXP semiconductors, Eindhoven, The Netherlands. My research interests include statistical signal processing, compressed sensing, signal processing for environment monitoring and radar signal processing.
- V. Roy, A. Simonetto, and G. Leus, “Spatio-temporal field estimation using kriged Kalman filter (KKF) with sparsity-enforcing sensor placement”, Sensors, vol. 18, no. 6, pp. 1778, April, 2018.
- V. Roy, A. Simonetto, and G. Leus, “Spatio-temporal sensor management for environmental field estimation”, Elsevier Signal Processing, vol. 128, pp. 369-381, November 2016.
- V. Roy, S. Gishkori, and G. Leus, “Dynamic rainfall monitoring using microwave links,” EURASIP Journal on Advances in Signal Processing, vol. 2016, no. 1, pp. 1-17, December 2016.
- V. Roy and G. Leus, “Correlation-aware sparsity-enforcing sensor placement for spatio-temporal field estimation”, in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australlia, April 2015, pp. 340-343.
- V. Roy, S. Gishkori, and G. Leus, “Spatial rainfall mapping from path- averaged rainfall measurements exploiting sparsity”, in Proc. IEEE Global Conference on Signal and Information Processing (GlobalSIP), Atlanta, USA, December 2014, pp. 321-325.
- V. Roy, S. P. Chepuri, and G. Leus, “Sparsity-enforcing sensor selection for DOA estimation”, in Proc. IEEE Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Saint Martin, December 2013, pp. 340- 343.