Evangelos Papoutsellis

Senior Research Scientist at Finden Ltd

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Rutherford Appleton Laboratory
Building R71, Office 1.12-13
Harwell Campus, Didcot OX11 0QX

:wave::wave::wave: Welcome to my website :wave::wave::wave:

My name is Evangelos (or Vaggelis) Papoutsellis. I am a Senior Research Scientist at Finden Ltd and a Visitor Research Associate in the Department of Mathematics, University of Manchester. I am also one of the main developers of the Core Imaging Library (CIL) for Collaborative Computaional Project for Tomographic Imaging (CCPi).

Prior to this, I was a Computational Imaging Scientist (permanent) at the Scientific Computing Department (SCD) in the Science Technology Facilities Council (STFC). I obtained my PhD from the University of Cambridge, Cambridge Image Analysis (CIA), Department of Applied Mathematics and Theoretical Physics (DAMTP) in 2016, under the supervision of Professor Carola-Bibiane Schönlieb.

I completed my Master of Advanced Study, Part III of Mathematical Tripos, University of Cambridge in 2011 and a 5-year Diploma in the Department of Applied Mathematics and Physical Sciences at the National Technical University of Athens in 2010.

For more details please see cv (updated April 2023).

news

Nov, 2023 Paper: A directional regularization method for the limited-angle Helsinki Tomography Challenge using the Core Imaging Library (CIL) was accepted in the Applied Mathematics for Modern Challenges (AMMC).
Nov, 2023 Talk: I gave at talk at the first CIL User Meeting about “Stochastic Optimisation in CIL”. Slides
Aug, 2023 Paper: Learning regularization parameter-maps for variational image reconstruction using deep neural networks and algorithm unrolling was accepted in the SIAM Journal on Imaging Sciences.
Jul, 2023 Our work on Unrolled three-operator splitting for parameter-map learning in Low Dose X-ray CT reconstruction was accepted as a Poster presentation at the 17th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine.
Apr, 2023 Finden training course