David Blinder received the M.Sc. degree in applied sciences and engineering from the Vrije Universiteit Brussel (VUB), Brussel, Belgium, and the École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, in 2013. He obtained his doctoral thesis in applied sciences at the VUB in 2018 on the subject of signal processing in digital holography, which was awarded with summa cum laude and congratulations of the jury members. He is currently a Postdoctoral Fellow with the Fund for Scientific Research Flanders (FWO), Brussel, Belgium. He teaches the “Technology and Applications of Micro-Electronics and Photonics” course in the Master in Applied Computer Science at the VUB. 

"Engineering research is an interdisciplinary scientific adventure."

His current research focuses on digital holography, high-performance computing, computer graphics, numerical diffraction, inverse problems, sparse representations, time–frequency analysis, and image, video, and hologram coding. He (co-)authored over 50 international peer-reviewed scientific publications and 4 international patent applications. More information can be found on Google Scholar and Researchgate.

Research Interests 

Coherent imaging systems. Addressing challenges in processing and interpreting data in coherent imaging systems, e.g. phase unwrapping, 3D scene segmentation, tracking and classification.

Transforms and representations for novel imaging modalities. Modalities such as holography have unique signal properties, requiring the design of novel mathematical transforms for efficient signal processing.

Coding and compression. Developing new coding solutions, focusing on holographic video codecs; contributing to standardization.

Novel algorithms and high-performance implementations for numerical diffraction. Comprises designing and developing algorithms for specialized hardware for computing wave propagation in different regimes; extending the principles of computer graphics to computer-generated holography for holographic video displays.

Achievements (Honors & Awards) 
  • FWO Junior postdoctoral fellowship (FWOTM938): “Time-frequency domain based transforms and temporal prediction for coding of dynamic holograms”, 1/10/19 – 30/09/22
  • FWO International collaboration project: scientific cooperation with Japan (VS07820N): “Efficient generation and compression of digital holograms with deep neural network encoding” (David Blinder/Tomoyoshi Shimobaba), 01/04/2020 – 31/03/2023.
  • Most downloaded article of Elsevier’s journal “Signal Processing: Image Communication” since February 2019. D. Blinder, A. Ahar, S. Bettens, T. Birnbaum, A. Symeonidou, H. Ottevaere, C. Schretter, and P. Schelkens, “Signal processing challenges for digital holographic video display systems,” Signal Process. Image Commun.70, 114 – 130(2019).
  • Researcher at imec
  • Member of the Optical Society of America (OSA).
  • Member of the Institute of Electrical and Electronics Engineers (IEEE).