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Current Members

This page is still under construction and the above list of members is not complete. Therefore, you can find the correct list of members in the following:

Head of Group

Postdocs

  • Angelica I. Aviles-Rivero: Inverse problems, medical imaging, computational analysis and machine learning
  • Anna Breger: Mathematical image processing in medical problems with diverse data types
  • Carlos Esteve-Yagüe: Partial differential equations, and inverse problems
  • Chao Li: Neuroimaging, multi-omics, computational neuroscience, machine learning & deep learning
  • Debmita Bandyopadhyay: Multi-sensor data analysis, forest species mapping, Alpine vegetation dynamics, statistical modelling, machine learning
  • Julian Gilbey: Partial differential equations, and inverse problems
  • Johannes Schwab: Machine-learning methods for modeling continuous structural heterogeneity in cryo-EM reconstruction
  • Junqi Tang: Optimization, deep learning, medical imaging
  • Kelly Kokka (Joint with the Public Health Modelling group): Biomedical imaging, machine learning
  • Kweku Abraham: Theoretical guarantees for machine learning, frequentist validity of Bayesian procedures, false discovery rates, and hidden Markov models
  • Lisa Kreusser: Partial differential equations, data analysis, and mathematical formulations for machine learning
  • Michael Roberts: Variational methods for image processing, machine learning for image analysis
  • Malena Sabaté Landman: Inverse Problems, mathematical Imaging, numerical linear algebra, generative models, functional data analysis
  • Rashmi Murthy: Inverse problems, applied partial differential equations
  • Sören Dittmer: Inverse problems, clinical time-series data, and topology optimization
  • Subhadip Mukherjee: Machine learning, inverse problems in imaging, optimization, signal processing
  • Tatiana Bubba: Computational inverse problems with applications to medical imaging and spent nuclear fuels imaging

Ph.D. students

Current visitors

  • Jean Prost (co-supervision with Angelica I Aviles-Rivero): HVAE for Image Restoration
  • Jing Zou (co-supervision with Angelica I Aviles-Rivero): Feature Based Image Registration
  • Yanqi Cheng (co-supervision with Angelica I Aviles-Rivero):  Neural ODEs for MRI Reconstruction
  • Yijun Yang (co-supervision with Angelica I Aviles-Rivero): Analysis mammography images for breast cancer classification
  • Simone Saitta (co-supervision with Subhadip Mukherjee): Physics informed denoising and super-resolution of 4D flow MRI.
  • Ziruo Cai (co-supervision with Subhadip Mukherjee): Uncertainty quantification in medical imaging, optimization and machine learning.
  • Jim Denholm (visiting PostDoc from Lyzeum Ltd.): Computer vision methods to analyze histopathological image data to celiac disease.

Former Members

  • Yury Korolev: (2019 - 2022, PostDoc) Inverse Problems, Variational Methods, Mathematical Imaging, Theoretical Machine Learning
  • Chaoyu Liu (Mar - Aug 2022, visiting student from PolyU): Tumor segmentation and recurrence prediction with deep learning and PDEs.
  • Chun-Wun (Sam) Chen (May - Aug 2022, visiting student from CityU):  Delving into Neural ODEs for Fast MRI Reconstruction 
  • Mickael Assaraf (May - Aug 2022, visiting student): Automated Graph Data Augmentation 
  • Simone Parisotto: (2019 - 2022, PostDoc): Mathematics for cultural heritage, inverse problems, anisotropic variational models and PDEs 
  • Nils Wachsmuth (Sept - Dec 2021, visiting student, ETH)
  • Stefano van Gogh (Sept - Dec 2021, visiting student, ETH):  Leverage data-driven methods to regularise the tomographic reconstruction problem. 
  • Rihuan Ke (2018 - 2022, Post-Doc): Inverse problems in adaptive optics and postprocessing, image processing and numerical linear algebra.
  • Marcello Carioni (2018 - 2022, Post-Doc):: Inverse problems, machine learning, calculus of variations
  • Tatiana Bubba (2018 - 2022, Post-Doc): computational inverse problems with applications to medical imaging and spent nuclear fuels imaging
  • Hankui Peng (2020 - 2022, Post-Doc): subspace clustering, constrained clustering, active learning, image recognition, text mining.
  • Lei Zhu (2020 - 2021, Post-Doc): Computer vision, image and video processing, medical imaging, and deep learning.
  • Derek Driggs (2017 - 2021, PhD student, co-supervision with Hamza Fawzi): Optimisation, machine learning, and image processing.
  • Ferdia Sherry: (2017 - 2021, PhD student): Bilevel optimisation.
  • Jonathan Williams (2017 - 2021, PhD student, co-supervision with David Coomes and Tom Swinfield, Plant Sciences): Analysis of airborne imaging data.
  • Philip Sellars (2017 - 2021, PhD student, co-supervision with Angelica I. Aviles-Rivero, Anita Faul, Alistair Forbes and David Coomes): Graph based Semi-supervised Image Classification
  • Sebastian Lunz (2016 - 2021, PhD student, co-supervision with Clément Mouhot): Mathematics of deep inversion.
  • Christian Etmann (2019 - 2021, Post-Doc): Inverse problems, deep learning, medical imaging, adversarial examples
  • Julian Gilbey (2019 - 2021, Post-Doc): Optical character recognition (OCR) in distorted images
  • Jonas Latz (2019 - 2021, Post-Doc):: Inverse problems, uncertainty quantification
  • Kasia Targonska-Hadzibabic (2019 - 2021, Post-Doc): Mathematics for cultural heritage
  • Lisa-Maria Kreusser (2019 - 2021, Post-Doc): Mean-field equations, biological networks.
  • Madeleine Kotzagiannidis (2019 - 2021, Post-Doc): Analysis & exploitation of geometric structure in data for problems in signal processing and machine learning
  • Hugo Blanc (May - Aug. 2021, visiting student, ENSTA Paris - Institut Polytechnique de Paris): Semi-Supervised Image Classification for Hyperspectral Data
  • Shujun Wang (May - Aug. 2021, visiting PhD student, The Chinese University of Hong Kong)
  • Wei Tang (June - Aug. 2021, visiting student, City University of Hong Kong): A Hybrid Model for Vessel Skeleton Extraction
  • Ula Komorowska (July - Aug. 2021, summer student, University of Cambridge): Partial Differential Equations: Finite Elements vs. Deep Learning
  • Christina Runkel (Sept. 2020 - Mar. 2021, visiting master student, University of Siegen): Provable Machine Learning for Medical Image Reconstruction.
  • Rob Tovey (2016 - 2020, PhD student, co-supervision with Paul Midgley and Rowan Leary, Material Sciences): Mathematical challenges in electron tomography. Now Post-Doc at Institut national de recherche en sciences et technologies du numérique (Inria).
  • Jingwei Liang (2017 - 2020, Post-Doc): Non-smooth optimisation, image processing and machine learning. Now Lecturer at Queen Mary University of London.
  • Zhuqing Li (June - Sept. 2020, summer student, City University of Hong Kong)
  • Olivia Hu (June - Aug. 2020, summer student, University of Cambridge)
  • Jiyang Du (June - Aug. 2020, summer student, University of Cambridge)
  • Matthew Thorpe: (2017 - 2020, Post-Doc) Now Lecturer at the University of Manchester.
  • Stephan Hilb (Jan. - Mar. 2020, visiting from University of Stuttgart)
  • Lihao Liu (Feb. - Mar. 2020, visiting from Chinese University of Hong Kong)
  • Hanne Kekkonen (2017 - 2020, Post-Doc). Now at TU Delft.
  • Erlend Skaldehaug Riis (2015 - 2019, PhD student): Optimisation. Thesis: Geometric numerical integration for optimisation. Now London Mathematical Society Early Career Fellow at the University of Edinburgh.
  • Shuai Liu (Dec. 2018 - Dec. 2019, visiting from Xi'an Jiaotong University)
  • Patricia Vitoria Carrera (Sept. - Dec. 2019, visiting PhD student, Universitat Pompeu Fabra)
  • Lara Raad (Oct. - Dec. 2019, visiting from Universitat Pompeu Fabra)
  • Sören Dittmer (Aug. - Oct. 2019, visiting from University of Bremen)
  • Nathan Blanken (May - Oct. 2019, visiting PhD student, University of Twente)
  • Lisa-Maria Kreusser (2015 - 2019, PhD student, co-supervision with Bertram Düring and Peter A. Markowich): Mean-field equations, biological networks. Thesis: Anisotropic nonlinear PDE models and dynamical systems in biology. Now PostDoc.
  • Tao Wei (June - Sept. 2019, visiting from State University of New York at Buffalo)
  • Yao Yuan (June - Sept. 2019, visiting from National University of Singapore)
  • Zak Shumaylov (June - Sept. 2019, summer student)
  • Kaixuan Wei (July - Sept. 2019, visiting from Beijing Institute of Technology)
  • Ethan Redmond (July - Sept. 2019, summer intern)
  • Leon Bungert (July - Sept. 2019, visiting PhD student, Friedrich-Alexander-Universität Erlangen-Nürnberg)
  • Kevin Han Huang (Aug. - Sept. 2019, summer student)
  • Veronica Corona (2015 - 2019, PhD student, co-supervision with Stefanie Reichelt and Kevin Brindle, CRUK CI): Crossing Modalities in Cancer Imaging: Improving Diagnostics by Linking Light Microscopy with PET/MRI Using Novel Mathematical Methods. Thesis: Variational Multi-Task Models for Image Analysis: Applications to Magnetic Resonance Imaging. Now at Tenoke.
  • Noemie Debroux (2018 - 2019, Post-Doc). Now at Université Clermont Auvergne.
  • Guy Gilboa (Aug. 2019, visiting from Technion Israel Institute of Technology)
  • Jonathan Ang (July - Aug. 2019, summer student): Walking Deeper on Graphs: Learning Latent Representations Via DeepWalk Approach.
  • Jianchao Zhang (June - Aug. 2019, visiting summer student, City University of Hongkong): Superpixels segmentation.
  • Marianne de Vriendt (June - Aug. 2019, master student): Learning to Classify Medical Images with Minimal Supervision.
  • Timothée Schmoderer (June - July 2019, visiting PhD student, INSA Rouen Normandie): Joint Hybrid Variational Models.
  • Ozan Öktem (Sept. 2018 - July 2019, visiting from KTH Royal Institute of Technology)
  • Lukas Lang (2017 - 2019, Post-Doc). Now external lecturer at TU Wien.
  • Pan Liu (2017 - 2019, Post-Doc). Now at BioMind.
  • Nicolas Papadakis (Sept. 2018 - May 2019, visiting from Institute de Mathématiques de Bordeaux)
  • Aurelie Bugeau (Sept. 2018 - May 2019, visiting from Université de Bordeaux)
  • Simone Parisotto (2014 - 2018, PhD student, co-supervision with Simon Masnou, University of Lyon): Anisotropy in image processing. Thesis: Anisotropic variational models and PDEs for inverse imaging problems. Now PostDoc.
  • Samar M. Alsaleh (Jan. 2019, visiting PhD student, Department of Computer Science, The George Washington University, USA).
  • Maureen van Eijnatten (Oct. 2018 - Jan. 2019, visiting from Centrum Wiskunde and Informatica)
  • Christian Etmann (Sept. - Nov. 2018, visiting PhD student, Center for Industrial Mathematics, University of Bremen).
  • Ramona Sasse (Aug. - Nov. 2018, visiting PhD student, University of Münster).
  • Qingnan Fan (Aug. - Oct. 2018, visiting PhD student, Computer Science and Technology School of Shandong University, China).
  • Ruoteng Li (Aug. - Oct. 2018, visiting PhD student, Department of Computer Science, National University of Singapore).
  • Martin Benning (2012 - 2018, Post-Doc). Now Lecturer at Queen Mary University of London.
  • Matthias Ehrhardt (2016 - 2018, Post-Doc). Now Prize Fellow at University of Bath.
  • Caroline Zhu (July - August 2018, undergraduate student, University of Cambridge): Learning Regularisation for Optical Flow. Awarded Funding: Cambridge Summer Research in Mathematics Programme (SRIM, 2018).
  • Elena Resmerita (July 2018, visiting from University of Klagenfurt, Austria).
  • Jiulong Liu (June - Sept. 2018, Department of Mathematics, National University of Singapore).
  • Rosa Kowalewski (2017/18, master student, University of Luebeck): Deep neural networks for image registration.
  • Joana Grah (2014 - 2018, PhD student, co-supervision with Stefanie Reichelt, CRUK CI): Mathematical image analysis for cancer research applications + PostDoc on Machine learning and medical imaging. Thesis: Mathematical Imaging Tools in Cancer Research - From Mitosis Analysis to Sparse Regularisation. Now PostDoc at Graz University of Technology.
  • Rob Hocking (2013 - 2017, PhD student): Image and video inpainting. Thesis: Shell-Based Geometric Image and Video Inpainting.
  • Tamara Großmann (2017, master student, University of Münster): Superresolution for photoacoustic tomography.
  • Sebastian Neumayer (2016/17, master student, University of Kaiserslautern): Indirect image matching for tomographic inversion under shape priors.
  • Georg Maierhofer (2016, summer intern): Learning an optimal sampling pattern for MRI.
  • Vladimir Vankov (2016, summer intern): Classification and Standardization of Ancient Pottery by Machine Learning and Geometric Analysis.
  • Emile Okada (2016, summer intern): Building imaging devices: from hardware to software.
  • Chris Irving (2016, summer intern): Building imaging devices: from hardware to software.
  • Wuhyun Sohn (2016, summer intern): Seismic imaging.
  • Torbjørn Ringholm (July - August 2016, visiting PhD student from NTNU, Norway).
  • Antonin Chambolle (September 2015 - June 2016, visiting from CMAP, Ecole Polytechnique, France).
  • Marie Foged Schmidt (DTU, Denmark, February - June 2016).
  • Ping Zhong (January 2015 - January 2016, visiting scholar from National University of Defense Technology, Changsha City, China).
  • Gaohang Yu (January 2015 - January 2016, visiting scholar from Gannan Normal University, China).
  • Yoeri Boink (September - December 2015, visiting master student from University of Twente): Motion analysis.
  • Sam Thomas (2015, intern): InSAR phase unwrapping.
  • Verner Vlacic (2015, intern): Dynamic image regularisation.
  • Juheon Lee (2012 - 2016, PhD student). Thesis: Mapping individual trees from airborne multi-sensor imagery. Now PostDoc at Stanford University.
  • Xiaohao Cai (2014 - 2016, PostDoc). Now PostDoc at UCL.
  • Tuomo Valkonen (2012 - 2016, PostDoc). Now Lecturer at University of Liverpool.
  • Luca Calatroni (2012 - 2015, PhD student). Thesis: New PDE models for imaging problems and applications. Now PostDoc in MIDA group of the University of Genova.
  • Jan Lellmann (2011 - 2015, PostDoc and Leverhulme Early Career Fellow). Now Professor at the University of Lübeck.
  • Evangelos Papoutsellis (2011 - 2015, PhD student). Thesis: First-order gradient regularisation methods for image restoration: reconstruction of tomographic images with thin structures and denoising piecewise affine images. Now PostDoc with Maitine Bergonioux at University of Orleans.
  • Marie Autume (2012 & 2015, visiting intern, ENS Cachan): Art restoration. Joint supervision with Spike Bucklow from the Hamilton-Kerr Institute and Stella Panayotova from the Fitzwilliam Museum, Cambridge.
  • Veronica Corona (2014/2015, visiting master student from University of Delft): Multi-spectral characterisation of thalamic nuclei with ultra-high field MRI. Joint with Peter Nestor (German Center for Neurodegenerative Diseases (DZNE), Magdeburg). 
  • Kostas Papafitsoros (PhD student until 2014, then PostDoc until mid-2015): Higher-order regularity in imaging. Thesis: Novel higher order regularisation methods for image reconstruction. He now holds a Humboldt Fellowship and is working with Michael Hintermueller at the Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany.
  • Maria Hänel (2014, visiting PhD student, University of Bayreuth): Optimal placement of cameras.
  • Goezde Sarikaya (2014, intern): Reconstruction of MRI data.
  • Rob Tovey (2014, intern): Higher-order convex-concave regularization.
  • Stefi Anita (2014): Segmentation for radiotherapy treatment planning. Joint project with VoxTox.
  • Ziad Kobeissi (2014, intern): Generating artificial fingerprints. Joint project with Bertram Düring (Uni Sussex), Carsten Gottschlich (Uni Göttingen), Stephan Huckemann (Uni Göttingen).
  • Hendrik Dirks (2013, visiting David-Crighton Fellow, Westfälische Wilhelms-Universität Münster): Imaging of intracellular flows. Joint project with Ray Goldstein from DAMTP.
  • Joana Grah (2013 - 2014, visiting Master's student, University of Münster).
  • Rien Lagerwerf (2014/2015, visiting Master's student, University of Twente): TGV-type inpainting for limited-angle tomography. Joint with Christoph Brune (University of Twente, Netherlands)