dr. F. Uysal

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

Expertise: automotive radar, radar signal processing, distributed radar systems

Themes: Autonomous sensor systems, Safety and security

Biography

Dr.  Faruk Uysal received his M.S and Ph.D. degrees in electrical engineering from New York University (NYU), NY, USA in 2010 and 2016 respectively.  During his study, Dr. Uysal focused on signal separation techniques for dynamic clutter mitigation.  Between 2011 and 2014, he worked as a staff engineer at C&P Technologies, Inc., Closter, NJ, USA. He was a radar engineer with the Advanced Radar Research Center (ARRC) at University of Oklahoma, Norman, OK, USA between 2014 and 2016, where he worked on design and implementation of various projects from Department of Defense (DoD) agencies.

In September 2016, he joined to Microwave Sensing, Signals and Systems (MS3) section of the Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS) at Delft University of Technology as an Assistant Professor.  His current research interests include radar signal processing, waveform design, beamforming, radar image formation, clutter mitigation, cognitive radar and distributed radar systems.

Dr. Uysal is a senior member of the IEEE and currently serves as a reviewer for  IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Geoscience and Remote Sensing (TGARS) and SPIE Journal of Applied Remote Sensing. Dr. Uysal is also an affiliate member of Advanced Radar Research Center (ARRC) at University of Oklahoma.

ET4169 Microwaves, radar & remote sensing

Introduction to microwave systems and radar; foundation for further courses on radar and remote sensing

ET4175 Radar systems

Introduction to the design and operation of modern radar systems

Dutch Knowledge Network on Radar Instruments and Applications

The major goal is the study of breakthrough technologies for the implementation of miniaturized radar instruments that are compatible with SmallSat Earth Observation missions.

Coded-Radar for Interference Suppression in Super-Dense Environments

CRUISE will address the challenges regarding spectrum crowding and ensures proper radar signal detection, accurate ranging, Doppler and azimuth measurements, and object classification in a highly-occupied frequency spectrum

Integrated Cooperative Automated Vehicles

This research program addresses current transportation challenges regarding throughput and safety with an integrated approach to automated and cooperative driving

  1. Wind turbine clutter mitigation via non- convex regularizers and multidimensional processing
    Y. Hu; F. Uysal; I. Selesnick;
    Journal of Atmospheric and Oceanic Technology,
    Volume 36, Issue 4, pp. 1093–1104, 2019. DOI: 10.1175/JTECH-D-18-0164.1

  2. Reconfigurable Range-Doppler Processing and Range Resolution Improvement for FMCW Radar
    Neemat, S.; Uysal, F.; Krasnov, O.A.; Yarovoy, A.;
    IEEE Sensors Journal,
    Volume 19, Issue 20, pp. 9294-9303, 15 Oct 2019. DOI: 10.1109/JSEN.2019.2923053
    document
    Software

  3. Synchronous and asynchronous radar interference mitigation
    F. Uysal;
    IEEE Access,
    Volume 7, pp. 5846–5852, 2018. DOI: 10.1109/ACCESS.2018.2884637

  4. MIMO–monopulse target localisation for automotive radar
    R. Feng; F. Uysal; P. Aubry; A. Yarovoy;
    IET Radar, Sonar & Navigation,
    Volume 12, Issue 10, pp. 1131, August 2018. DOI: 10.1049/iet-rsn.2018.5013

  5. Mitigation of Automotive Radar Interference
    Faruk Uysal; Sasanka Sanka;
    In Proc. IEEE Radar Conf. , April 2018, Oklahoma, USA,
    pp. 1-6, 2018. DOI: DOI: 10.1109/RADAR.2018.8378593
    document

  6. Application of Waveform Weighting for a Frequency-Invariant Transmit Beampattern
    Faruk Uysal; Z. Dunn; R. Rincon;
    IEEE Aerospace and Electronic Systems Magazine,
    Volume 31, Issue 12, pp. 4-12, 2017. DOI: 10.1109/MAES.2016.150201

  7. Comparison of range migration correction algorithms for range-Doppler processing
    Faruk Uysal;
    Journal of Applied Remote Sensing,
    Volume 11, Issue 3, pp. 036023-1/036023, 2017. DOI: 10.1117/1.JRS.11.036023

  8. Digital Radar Implementation with Amplitude Predistortion
    B. Sun; M. Yeary; Faruk Uysal; N. Goodman; C. Fulton; R. Rincon;
    In 2017 IEEE Radar Conference,
    pp. 1691-1696, 2017. DOI: 10.1109/RADAR.2017.7944479

  9. Single Channel RF Signal Recovery for Nyquist Folding Receiver
    Faruk Uysal; J. C. Martin; N. A. Goodman;
    In The IET International Conference on Radar Systems 2017,
    pp. 1-4, 2017. DOI: 10.1049/cp.2017.0469

BibTeX support

Last updated: 10 Jul 2019