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Faculty of Mathematics

 

Professor Carola Bibiane Schönlieb

Professor Schönlieb is Professor of Applied Mathematics at DAMTP and head of the Cambridge Image Analysis group (CIA). Moreover, she is the Director of the Cantab Capital Institute for the Mathematics of Information (CCIMI) and Director of the EPSRC Centre for Mathematical and Statistical Analysis of Multimodal Clinical Imaging (CMIH), a Fellow of Jesus College, Cambridge and co-Chair of the Cambridge Centre for Data Driven Discovery (C2D3). Currently I am also chairing the SIAM activity group on Imaging Sciences and the Applied Mathematics Committee of the European Mathematical Society (EMS).

Career

Positions:

  • since October 2018: Professor at DAMTP, University of Cambridge, UK.
  • October 2015 to September 2018: Reader at DAMTP, University of Cambridge, UK.
  • since October 2011: Fellow of Jesus College, Cambridge, UK.
  • September 2010 to September 2015: Lecturer at DAMTP, University of Cambridge, UK.
  • September 2009 to September 2010: Postdoc at NAM (Institute of Numerical and Applied Mathematics), Georg-August University Goettingen, Germany.
  • October 2008 to September 2009: Research Assistant at DAMTP, University of Cambridge.
  • October 2005 to October 2008: Research Assistant at the Faculty of Mathematics, University of Vienna, Austria.
  • September 2002 to June 2004: Research Assistant at the Department of Mathematics, University of Salzburg, Austria.

 

Education:

  • July 18, 2009: Admission to the degree Doctor of Philosophy, University of Cambridge (UK)
  • January 30, 2004: Master’s degree in Mathematics with Honors, University of Salzburg (Austria)

 

Honors and Awards:

  • 2020: Wolfson Fellowship, Royal Society UK.
  • 2019: Calderón Prize, Inverse Problems International Association.
  • 2017: Philip Leverhulme Prize.
  • 2016: Whitehead Prize, London Mathematical Society.
  • 2013: EPSRC Science Photo Award, 1st Prize in the Category People.
  • 2008: Mary Bradburn Award from the BFWG.
  • 2004: Scholarship from the University of Salzburg (Austria) for exceptional achievements as a student
  • 2002: Hans-Stegbuchner-Award from the Department of Mathematics, University of Salzburg (Austria).

Research

Professor Schönlieb's research interests focus on variational methods, partial differential equations and machine learning for image analysis, image processing and inverse imaging problems. She has active interdisciplinary collaborations with clinicians, biologists and physicists on biomedical imaging topics, chemical engineers and plant scientists on image sensing, as well as collaborations with artists and art conservators on digital art restoration.. More details the website of her research group, Cambridge Image Analysis (CIA).

Publications

3D Segmentation of Trees Through a Flexible Multiclass Graph Cut Algorithm
J Williams, C-B Schönlieb, T Swinfield, J Lee, X Cai, L Qie, DA Coomes
(2020)
(doi: 10.1109/TGRS.2019.2940146)
Three-dimensional Segmentation of Trees Through a Flexible Multi-Class Graph Cut Algorithm (MCGC)
J Williams, C Schoenlieb, T Swinfield, J Lee, X Cai, L Qie, D Coomes
– IEEE Transactions on Geoscience and Remote Sensing
(2020)
58,
754
(doi: 10.1109/TGRS.2019.2940146)
IUNets: Learnable invertible up-and downsampling for large-scale inverse problems
C Etmann, R Ke, C-B Schönlieb
– 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP)
(2020)
2020-September,
1
(doi: 10.1109/MLSP49062.2020.9231874)
A multi-contrast MRI approach to thalamus segmentation.
V Corona, J Lellmann, P Nestor, C-B Schönlieb, J Acosta-Cabronero
– Hum Brain Mapp
(2020)
abs/1807.10757,
2104
(doi: 10.1002/hbm.24933)
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification
P Sellars, AI Aviles-Rivero, C-B Schönlieb
– IEEE Transactions on Geoscience and Remote Sensing
(2020)
58,
4180
(doi: 10.1109/tgrs.2019.2961599)
Tuning-free plug-and-play proximal algorithm for inverse imaging problems
K Wei, A Aviles-Rivero, J Liang, Y Fu, CB Schönlieb, H Huang
– 37th International Conference on Machine Learning Icml 2020
(2020)
PartF168147-14,
10089
(link to publication)
Deeply learned spectral total variation decomposition
TG Grossmann, Y Korolev, G Gilboa, CB Schönlieb
– Advances in Neural Information Processing Systems
(2020)
2020-December,
(link to publication)
Linkage Between Piecewise Constant Mumford--Shah Model and Rudin--Osher--Fatemi Model and Its Virtue in Image Segmentation
X Cai, R Chan, C-B Schönlieb, G Steidl, T Zeng
– SIAM Journal on Scientific Computing
(2019)
41,
B1310
(doi: 10.1137/18m1202980)
Deep learning as optimal control problems: Models and numerical methods
M Benning, E Celledoni, MJ Ehrhardt, B Owren, C-B Schönlieb
– Journal of Computational Dynamics
(2019)
6,
179
(doi: 10.3934/jcd.2019009)
Faster PET reconstruction with non-smooth priors by randomization and preconditioning
MJ Ehrhardt, P Markiewicz, C-B Schönlieb
– Phys Med Biol
(2019)
64,
225019
(doi: 10.1088/1361-6560/ab3d07)
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Research Groups

Cambridge Image Analysis
Cantab Capital Institute for the Mathematics of Information
Centre for Mathematical Imaging in Healthcare

Email

C.B.Schoenlieb@damtp.cam.ac.uk

Room

F0.06

Telephone

01223 764251

Study at Cambridge

About the University

Research at Cambridge