Signal Processing Systems
Dept. of Microelectronics

dr.ir. S. Naghibzadeh

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

PhD thesis (Dec 2018): Image formation for future radio telescopes
Promotor: Alle-Jan van der Veen

Expertise: Array signal processing

Themes: Signal processing for communication

Biography

Shahrzad Naghibzadeh was a PhD student in the CAS group, from Sept 2014--August 2018, and a postdoc at CAS until the end of 2018. She obtained the PhD degree on 7 Dec 2018. Prior to this, she obtained her MSc degree (cum laude) in Electrical Engineering at TU Delft in 2012-2014.

Projects history

Data reduction and image formation for future radio telescopes

The future SKA telescope will produce large amounts of correlation data that cannot be stored and needs to be processed quasi real-time. Image formation is the main bottleneck--can compressive sampling and advanced algebraic techniques help?

  1. PRIFIRA: General regularization using prior-conditioning for fast radio interferometric imaging
    S. Naghibzadeh; A.J. van der Veen;
    Monthly Notices of the Royal Astronomical Society,
    Volume 479, Issue 4, pp. 5638–5656, October 2018. DOI: 10.1093/mnras/sty1501
    document

  2. Facet-Based Regularization for Scalable Radio-Interferometric Imaging
    S. Naghibzadeh; A. Repetti; A.J. van der Veen; Y. Wiaux;
    In EUSIPCO 2018,
    Rome (IT), Eurasip, September 2018.

  3. Image formation for future radio telescopes
    S. Naghibzadeh;
    PhD thesis, TU Delft, Fac. EEMCS, December 2018. ISBN: 978-94-6366-101-0. DOI: 10.4233/uuid:653d520b-07c0-4fd8-bd40-4f4ee74d8bf5
    document

  4. Radioastronomical least squares image reconstruction with iteration regularized Krylov subspaces and beamforming-based prior conditioning
    S. Naghibzadeh; A.J. van der Veen;
    In Int. Conf. Audio Speech Signal Proc. (ICASSP),
    New Orleans (USA), IEEE, pp. 3385-3389, March 2017. DOI: 10.1109/ICASSP.2017.7952784
    document

  5. Fast and Accurate Radio Interferometric Imaging Using Krylov Subspaces
    S. Naghibzadeh; A.J. van der Veen;
    In 2017 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP),
    Curacao, IEEE, December 2017. ISBN 978-1-5386-1250-7. DOI: 10.1109/CAMSAP.2017.8313147
    document

  6. Radioastronomical image reconstruction with regularized least squares
    S. Naghibzadeh; A.M. Sardarabadi; A.J. van der Veen;
    In Int. Conf. Audio Speech Signal Proc. (ICASSP),
    Shanghai (China), IEEE, March 2016.
    document

  7. Point and Beam-Sparse Radio Astronomical Source Recovery Using Non-Negative Least Squares
    S. Naghibzadeh; A.M. Sardarabadi; A.J. van der Veen;
    In IEEE Workshop on Sensor Array Multichannel,
    Sao Paulo, Brazil, July 2016.
    document

  8. Indoor Granular Presence Sensing and Control Messaging With an Ultrasonic Circular Array Sensor
    S. Naghibzadeh; A. Pandharipande; D. Caicedo; G. Leus;
    IEEE Sensors Journal,
    Volume 15, Issue 9, pp. 4888-4898, September 2015. DOI: 10.1109/JSEN.2015.2431373
    document

  9. Indoor granular presence sensing with an ultrasonic circular array sensor
    S. Naghibzadeh; A. Pandharipande; D. Caicedo; G. Leus;
    In IEEE Multi-conference on Systems and Control (MSC 2014),
    Antibes, France, IEEE, October 2014.

BibTeX support

Last updated: 26 Dec 2018

Shahrzad Naghibzadeh

Alumnus