dr. T Dash

Postdoc
Microwave Sensing, Signals and Systems (MS3), Department of Microelectronics

Expertise: Weather radar, Signal processing.

Biography

Tworit, originally from Odisha, India, earned his Bachelor of Technology (B-Tech) degree in Instrumentation and Electronics Engineering from The College of Engineering and Technology, Bhubaneswar, in 2016. Following this, he worked at Robert Bosch, India, from 2016 to 2018 as an On-Board Diagnostics (OBD) Calibration Engineer in the automotive sector, particularly focusing on passenger car applications.

He subsequently pursued a Master of Science (cum laude) in Electrical Engineering, with a specialization in Telecommunication and Sensing Systems, which he completed in 2020. His MSc thesis carried out in collaboration with the Netherlands Institute for Radio Astronomy (ASTRON), was centered on the computationally efficient design of conical horn antennas for the Square Kilometer Array (SKA) project.

In February 2025, Tworit was awarded his Doctor of Philosophy (PhD) with the thesis titled "On Doppler Processing for Fast-Scanning Weather Radars" from the Microwave Sensing, Signals, and Systems group at TU Delft. Currently, he holds a position as a postdoctoral researcher, where he is engaged in the formulation of electromagnetic inverse problems for PHased Array Radar for Atmospheric research (PHARA) and the development of novel signal-processing algorithms for atmospheric parameter retrieval.

Publications

  1. On Doppler Processing for Fast Scanning Weather Radars
    T.K. Dash;
    PhD thesis, Delft University of Technology, 2025. DOI: 10.4233/uuid:ee3b682f-75e3-4210-83c3-a71dc44d1b4d

  2. Doppler Spectrum Parameter Estimation for Weather Radar Echoes Using a Parametric Semianalytical Model
    Dash, Tworit; Driessen, Hans; Krasnov, Oleg A.; Yarovoy, Alexander;
    IEEE Transactions on Geoscience and Remote Sensing,
    Volume 62, pp. 1-18, 2024. DOI: 10.1109/TGRS.2023.3338233

  3. Counter-Aliasing Is Better Than De-Aliasing: Application to Doppler Weather Radar With Aperiodic Pulse Train
    Dash, Tworit; Driessen, Hans; Krasnov, O. A.; Yarovoy, Alexander;
    IEEE Transactions on Geoscience and Remote Sensing,
    Volume 62, pp. 1-17, 2024. DOI: 10.1109/TGRS.2024.3438567

  4. Incoherent Doppler Processing for Doppler Moment and Noise Estimation for Precipitation
    Dash, Tworit; Driessen, Hans; Krasnov, Oleg A.; Yarovoy, Alexander;
    In 2024 4th URSI Atlantic Radio Science Meeting (AT-RASC),
    pp. 1-4, 2024. DOI: 10.46620/URSIATRASC24/GTAX4119

  5. Radiation from the Open-ended Over-moded Cylindrical Waveguide
    Dash, Tworit K.; Prinsloo, David; Yarovoy, Alexander;
    In 2024 4th URSI Atlantic Radio Science Meeting (AT-RASC),
    pp. 1-4, 2024. DOI: 10.46620/URSIATRASC24/QEUT4611

  6. Application of Non-Uniform Sampling to Avoid Aliasing in the Precipitation Doppler Spectrum
    Mohamed, S.A.K Syed; Dash, Tworit; Krasnov, Oleg A.; Bout, Jelle; van der Meer, Rob; Yarovoy, Alexander G.;
    In 2024 International Radar Symposium (IRS),
    pp. 216-221, 2024.

  7. Detection of Precipitation Using Scanning Radars with Strong Sectorial Interferences
    Dash, Tworit; Lu, Wenyi; Krasnov, Oleg; Yarovoy, Alexander;
    In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium,
    pp. 515-519, 2024. DOI: 10.1109/IGARSS53475.2024.10642725

  8. Precipitation Doppler Spectrum Reconstruction with Gaussian Process Prior
    Dash, Tworit Kumar; Driessen, Hans; Krasnov, Oleg; Yarovoy, Alexander;
    In 2023 IEEE Conference on Antenna Measurements and Applications (CAMA),
    pp. 909-914, 2023. DOI: 10.1109/CAMA57522.2023.10352683

  9. Beamforming for a Fast Scanning Phased Array Weather Radar
    Dash, Tworit; Gîrdianu, Alexandru; Krasnov, Oleg A.; Yarovoy, Alexander G.;
    In 2023 20th European Radar Conference (EuRAD),
    pp. 290-293, 2023. DOI: 10.23919/EuRAD58043.2023.10289351

  10. Performance Analysis of the Wind Field Estimation for a Very Fast Scanning Weather Radar
    Dash, Tworit; Krasnov, Oleg A.; Yarovoy, Alexander G.;
    In 2022 23rd International Radar Symposium (IRS),
    pp. 420-425, 2022. DOI: 10.23919/IRS54158.2022.9905006

BibTeX support

Last updated: 11 Mar 2025