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

Introduction: Big data and partial differential equations†

Y Van Gennip, CB Schönlieb

– European Journal of Applied Mathematics

(2017)

28,

877

(doi: 10.1017/S0956792517000304)

Guidefill: GPU accelerated, artist guided geometric inpainting for 3D conversion of film

LR Hocking, R MacKenzie, CB Schönlieb

– SIAM Journal on Imaging Sciences

(2017)

10,

2049

(doi: 10.1137/16M1103737)

Entropic Comparison of Atomic-Resolution Electron Tomography of Crystals and Amorphous Materials.

SM Collins, RK Leary, PA Midgley, RJ Tovey, M Benning, C-B Schoenlieb, P Rez, MMJ Treacy

– Phys Rev Lett

(2017)

119,

166101

(doi: 10.1103/PhysRevLett.119.166101)

Numerical analysis of shell-based geometric image inpainting algorithms and their semi-implicit extension

LR Hocking, T Holding, C-B Schoenlieb

(2017)

(link to publication)

Discrete gradient methods for solving variational image regularisation models

V Grimm, RI McLachlan, DI McLaren, GRW Quispel, CB Schönlieb

– Journal of Physics A: Mathematical and Theoretical

(2017)

50,

295201

(doi: 10.1088/1751-8121/aa747c)

Learning optimal spatially-dependent regularization parameters in total variation image denoising

C Van Chung, JC De los Reyes, CB Schönlieb

– Inverse Problems

(2017)

33,

074005

(doi: 10.1088/1361-6420/33/7/074005)

Learning to Diversify Deep Belief Networks for Hyperspectral Image Classification

P Zhong, Z Gong, S Li, CB Schonlieb

– IEEE Transactions on Geoscience and Remote Sensing

(2017)

55,

3516

(doi: 10.1109/tgrs.2017.2675902)

Applying physical science techniques and CERN technology to an unsolved problem in radiation treatment for cancer: the multidisciplinary ‘VoxTox’ research programme

NG Burnet, JE Scaife, M Romanchikova, SJ Thomas, AM Bates, E Wong, DJ Noble, LEA Shelley, SJ Bond, JR Forman, ACF Hoole, GC Barnett, FM Brochu, MPD Simmons, R Jena, K Harrison, PL Yeap, A Drew, E Silvester, P Elwood, H Pullen, A Sultana, SYK Seah, MZ Wilson, SG Russell, RJ Benson, YL Rimmer, SJ Jefferies, N Taku, M Gurnell, AS Powlson, C-B Schönlieb, X Cai, MPF Sutcliffe, MA Parker

– CERN Ideasq J Exp Innov

(2017)

(doi: 10.23726/cij.2017.457)

A DBN-CRF for Spectral-Spatial Classification of Hyperspectral Data

P Zhong, Z Gong, CB Schönlieb

– 2016 23rd International Conference on Pattern Recognition (ICPR)

(2017)

1219

(doi: 10.1109/ICPR.2016.7899803)

Infimal Convolution Regularisation Functionals of $\mathrm {BV}$ and $\mathrm {L}^{p}$ Spaces. The Case $p=\infty $

M Burger, K Papafitsoros, E Papoutsellis, CB Schönlieb

– IFIP Advances in Information and Communication Technology

(2017)

494,

169

(doi: 10.1007/978-3-319-55795-3_15)

Cambridge Image Analysis

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