Curriculum Vitae

Prof. Carola–Bibiane Schonlieb

Address

Department of Applied Mathematics and Theoretical Physics (DAMTP)University of CambridgeWilberforce RoadCambridge CB3 0WA, UK

&

Jesus CollegeCambridge CB5 8BL, UK

Tel.: business +44/1223/764251Email: C.B.Schoenlieb@damtp.cam.ac.ukHomepage: http://www.damtp.cam.ac.uk/research/cia/,http://www.damtp.cam.ac.uk/user/cbs31/

Personal Details

Date of birth: 21th of December, 1979Place of birth: Vienna, AustriaPresent Citizenship: Austrian

Career

09/2018– Professor of Applied Mathematics, Department of Applied Mathematics and Theo-retical Physics, University of Cambridge, UK.

09/2016– Alan Turing Institute Fellow, Alan Turing Institute, British Library, London, UK.

03/2016– Co-Director then Director of the EPSRC Centre for Mathematical and StatisticalAnalysis of Multimodal Clinical Imaging, Faculty of Mathematics, University of Cam-bridge, UK.

11/2015– Director of the Cantab Capital Institute for Mathematics of Information, Faculty ofMathematics, University of Cambridge, UK.

10/2015–08/2018 Reader in Applied and Computational Analysis, Department of Applied Mathematicsand Theoretical Physics, University of Cambridge, UK.

10/2011– Head of Cambridge Image Analysis, Department of Applied Mathematics and Theo-retical Physics, University of Cambridge, UK.

10/2011– Fellow of Jesus College, Cambridge, UK.

09/2010–09/2015 Lecturer in Applied and Computational Analysis, Department of Applied Mathemat-ics and Theoretical Physics, University of Cambridge, UK.

09/2009–09/2010 Postdoctoral Research Fellow, Institute of Numerical and Applied Mathematics, Georg-August Universitat Gottingen, Germany.

10/2008–09/2009 Research Associate, Department of Applied Mathematics and Theoretical Physics,University of Cambridge, UK.

10/2005–10/2008 Research Associate, Faculty of Mathematics, University of Vienna, Austria.

09/2002–06/2004 Research Associate, Department of Mathematics, University of Salzburg, Austria.

Education

10/2007–07/2009 Ph.D. student of mathematics at the University of Cambridge (United Kingdom)

Thesis title:Modern PDE Techniques for Image Inpainting, Advisor: P.A. Markowich

15 June 2009 Oral defense of the thesis. Examiners: Arieh Iserles (University ofCambridge) and Stanley Osher (UCLA)

18 July 2009 Full congregation. Admission to the degree of Doctor of Philosophy

10/2005–10/2007 Ph.D. student of mathematics at the University of Vienna (Austria), Advisor: P.A.Markowich

10/1998–01/2004 Student of mathematics at the University of Salzburg (Austria)

25 Oct. 2000 First level in mathematics with distinction

30 Jan. 2004 Master’s degree in mathematics with distinction

Thesis title: Invariante Momente, Advisor: P. Gerl

10/1990–06/1998 Grammar school, Neusprachliches Gymnasium in Nonntal, Salzburg (Austria)

17 June 1998 Final exam with distinction

Honours and Awards

Calderon Prize, Inverse Problems International Association, 2019 (to be announced at the AIP inGrenoble on 8 July 2019).

Visiting Professorship, Institute Henri Poincare, 01–04/2019.

Philip Leverhulme Prize, 2017.

Whitehead Prize of the London Mathematical Society, 2016.

EPSRC Science Photo Award, 1st Prize in the Category ‘People’ in 2014.

INiTS Award from INiTS (Innovation into Business), Vienna. 3rd Prize in the Category GeneralTechnologies in 2010.

Mary Bradburn Award, awarded from the BFWG (British Federation of Women Graduates) in 2008

CET (Cambridge European Trust) Book Prize 2007 and 2008

Honorary Cambridge European Trust Scholar, awarded by the Cambridge Trust at the University ofCambridge (United Kingdom) in 2007

Scholarship for exceptional achievements as a student, awarded by the Faculty of Science at theUniversity of Salzburg (Austria) in 2004

Hans–Stegbuchner–award for exceptional achievements as a student for the academic year 2001-02,Department of Mathematics, University of Salzburg (Austria)

Third-party grants

09/2019–08/2020 Wellcome Trust Digital Innovator Award project on All in one cancer imaging optimi-sation using an integrated mathematical and deep learning approach. PI: E. Sala. CoI:C.-B. Schonlieb, Mireia Crispin-Ortuzar, Ozan Oktem, Ramona Woitek, Raj Jena andJames Brenton. Size ≈ £ 822K.

09/2019–08/2021 EPSRC project on PET++: Improving Localisation, Diagnosis and Quantification inClinical and Medical PET Imaging with Randomised Optimisation. PI: C.-B. Schon-lieb. CoI: F. Aigbirhio, M. Ehrhardt, M. Gurnell, I. Mendichovszky. Size ≈ £ 821K.

05/2019-04/2020 Cognizant postdoctoral fellowship grant in The Mathematics of Information. PI: C.-B.Schonlieb. Size ≈ £ 150K.

01/2019–12/2021 Leverhulme Trust project on Unveiling the invisible. PI: C.-B. Schonlieb. CoI: S.Bucklow, A. Launaro, S. Panayotova. Size ≈ £ 250K.

11/2018–10/2020 Philip Leverhulme Prize. PI: C.-B. Schonlieb. Size £ 100K.

11/2018–05/2020 Unilever & EPSRC IAA Partnership Development Award for Mathematical ImageAnalysis and Machine Learning for Better Food Microstructures. PIs: C.-B. Schonlieband P. Schutz. Size ≈ £ 100K.

10/2017–04/2018 Alan Turing Institute seed funding for Personalised breast cancer screening. PIs: M.van der Schaar and C.-B. Schonlieb. Size ≈ £ 24K.

3/2018–02/2021 NPL postdoctoral fellowship grant for The mathematics of measurement. PI: A.Forbes and C.-B. Schonlieb. Size ≈ £ 150K.

01/2017–12/2018 Global Alliance funding for Mathematical and statistical theory of imaging. PI: C.-B.Schonlieb. Size ≈ £ 140K.

07–08/2016 LMS Undergraduate Research Bursary for Bilevel optimisation for learning the sam-pling pattern in Magnetic Resonance Tomography, PI: C.-B. Schonlieb. CoIs: M.Benning, M. Ehrhardt. Size ≈ 1.4K.

03/2016–02/2020 EPSRC Centre for Mathematical and Statistical Analysis of Multimodal Clinical Imag-ing. PI: C.-B. Schonlieb. Co-Is: J. Aston, S. Bohndiek, E. Bullmore, N. Burnet, T.Fokas, F. Gilbert, A. Hansen, S. Reichelt, J. Rudd, R. Samworth, G. Treece, G.Williams. Size ≈ £ 1923K.

01/2016–12/2019 MSCA-RISE project Challenges in Preservation of Structure (CHiPS), EU Horizon2020 program, PI: Elena Celledoni (NTNU). Cambridge lead: C.-B. Schonlieb. Cam-bridge funding associated to this project ≈ e 36K.

11/2015–10/2018 Leverhulme Trust project on Breaking the non-convexity barrier. PI: C.-B. Schonlieb.CoI: M. Benning, L. Gladden, M. Moller. Size ≈ £ 250K.

04/2015–12/2015 Isaac Newton Trust Grant on Automated Contouring for Radiotherapy TreatmentPlanning. PI: C.-B. Schonlieb. CoIs: N. Burnet, X. Cai, A. Parker. Size ≈ £ 30K.

12/2014–11/2017 EPSRC grant Nr. EP/M00483X/1 Efficient computational tools for inverse imagingproblems. PI: C.-B. Schonlieb. CoI: T. Valkonen. Size ≈ £ 500K.

09/2014–09/2016 CCI Collaborative Fund on Assessing the conservation quality of tropical forest un-manned aerial vehicles. PIs: D. Coomes, J. Lindsell, C.-B. Schonlieb, T. Swinfield.Size ≈ £ 70K.

05/2014–04/2015 Wellcome Trust/ University of Cambridge Senior ISSF internship for the project De-velopment of Image Analysis Algorithms for Monitoring Forest Health from Aircraft.PIs: X. Cai, D. Coomes, C.-B. Schonlieb. Size ≈ £ 15K.

11/2013–10/2016 LMS award to fund 4 meetings p.a. on Current frontiers in inverse problems fromtheory to applications, PIs: D. Lesnic, C.-B. Schonlieb and M. Solemani. Size ≈ £ 6K.

07–09/2012 Mathworks Academic Support for Development of MATLAB Tools for the NumericalAnalysis Tripos. PIs: S. Cowley, A. Iserles, C.-B. Schonlieb and A. Shadrin. Size≈ £ 30K.

07/2012–07/2013 EPSRC / Isaac Newton Trust Small Grant Non-smooth geometric reconstruction forhigh resolution MRI imaging of fluid transport in bed reactors. PI: C.-B. Schonlieb.Size ≈ £ 50K.

05/2012–05/2014 EPSRC first grant Nr. EP/J009539/1 Sparse & Higher-order Image Restoration. PI:C.-B. Schonlieb. Size ≈ £ 120K.

01/2012–12/2013 Royal Society International Exchange Award Nr. IE110314 High-order CompressedSensing for Medical Imaging. PIs: M. Burger & C.-B. Schonlieb. Size ≈ £ 12K.

Editorial activities

Associate editor for SIAM Imaging Sciences 2019 –; associate editor for Proceedings of the RoyalSociety A 2018–; associate editor for European Journal of Applied Mathematics 2017–; associate editorfor Journal of Mathematical Imaging and Vision 2017–; associate editor for IMA Numerical Analysis2017–, section editor for SIAM Review 2017–, associate editor for ESAIM Proceedings 2012–; Memberof International Advisory Panel for Inverse Problems 2015–; Guest editor for Inverse Problems forSpecial Issue on Special Issue on Variational Methods and Effective Algorithms for Imaging and Vision2018/19, and Learning in Inverse Problems 2015/16; Guest Editor for EJAM for Special Issue on PDEfor data modelling and analysis, 2016/17.

Review & Scientific advisory activities

Review panel of research institutes and funding agencies: DFG excellence strategy panel onComplex Systems and Structure of Matter (P14), Germany 2017/18; Wellcome/EPSRC representativefor iFIND project, 2017–; Weierstrass Institute for Applied Analysis and Stochastics (WIAS), Berlin,Germany, 2017; EPSRC review panels, 2017–.

Member of scientific advisory boards: FRIAS - Freiburg Institute for Advanced Studies, Germany,2020–, SIAM Conference on the Mathematics of Data Science 2020, Isaac Newton Institute for theMathematical Sciences, UK 2019–, IMA Conference on Inverse Problems 2019, SIAG/IS Early CareerPrize Selection Committee 2018–, IMA Leslie Fox Prize Committee 2017–, SIAM Conference forImaging Sciences 2018, Mathematics and Image Analysis Conference 2016 & 2018, Alan TuringInstitute, UK 2016, Applied Inverse Problems Conference 2015.

Member of programme committees: Cambridge Big Data in Healthcare conference 2017,International Conference on Energy Minimization Methods in Computer Vision and PatternRecognition 2015, Alan Turing Institute 2015-16, Scale Space and Variational Methods Conference 2013,2015 & 2017 & 2019.

Reviewer for international funding bodies: French Excellence Initiative program IDEXLYON(France), Comision Nacional de Investigacion Cientıfica y Tecnologica, CONICYT (Chile), Engineeringand Physical Sciences Research Council, EPSRC (UK), Helmholtz Association (Germany), IsraelMinistry of Science, Technology & Space (Israel), Royal Society (UK), Royal Academy of Engineering(UK), Swedish Research Council (SE).

Referee for journals: DCDS – Series B, J. FOCM, IEEE Trans. Image Proc., IMA J. App. Math.,Inv. Prob., Inv. Prob. Sci. & Eng., Comp. & App. Math., Comp. Sci. & Techn., Math. Imaging &Vision, Sci. Comp., London Math. Soc., Pattern Anal. & App., SIIMS, SINUM, Signal, Image & VideoProc. .

Other service to the academic community

03/2019– Member of the Academic Committee on Knowledge Exchange in the MathematicalSciences, Council of Mathematical Sciences, London, UK.

11/2018–02/2019 Member of LMS Bond working group, London Mathematical Society, London, UK.

2017 Elector for Chair in Nonlinear Mathematical Sciences, DAMTP, University of Cam-bridge, UK.

01/2017– Member of Alan Turing Institute Steering Committee, Cambridge, UK.

11/2016– Ambassador of the IMU Committee for Women in Mathematics (CWM).

09/2016– Convenor of the European Women in Mathematics Association.

09/2015– Member of Departmental Strategy Board, DAMTP, University of Cambridge, UK.

09/2015– Organiser of Applied and Computational Analysis Seminar, University of Cambridge,UK.

09/2014–08/2016 Cambridge coordinator for ERASMUS exchange between DAMTP, University of Cam-bridge and the Faculty of Mathematics, University of Duisburg-Essen.

01/2014– Initiator and co-leader of IMAGES, a Cambridge network for developers and users ofimaging and analysis tools. See http://www.images.group.cam.ac.uk.

01/2014– Imaging Theme Champion and member of Steering Committee of the Cambridge BigData Initiative. See http://www.bigdata.cam.ac.uk.

09/2013– Women officer, Department of Applied Mathematics and Theoretical Physics, Univer-sity of Cambridge, UK.

2013– Participation in hiring committees for faculty positions: member of lectureship com-mittees:

• DAMTP, University of Cambridge, UK, 2013/14 & 2015/16 & 2016/17 & 2017/18.

• DPMMS, University of Cambridge, UK, 2014/15, 2015/16 & 2016/17 & 2018/19.

• Department for Computer Science, UCL, UK, 2013.

• Department of Mathematics, NTNU, Norway, 2017.

09/2010–08/2011 Co-leader of the mentoring project for female mathematicians m2 - Mentoring furMasterstudentinnen der Mathematik, University of Gottingen, Germany. See http:

//www.damtp.cam.ac.uk/user/cbs31/m2_mentoring

10/2005–10/2007 Leader of the first mentoring project for female mathematicians (m2 - Mentoring furMathematikerinnen), University of Salzburg, Austria. See http://www.diepresse.

at/home/diverse/archiv/70125/index.do

10/2004–02/2005 Member of council, Department of Mathematics, University of Salzburg, Austria.

09/2004–06/2005 Participant of the karriere links project, University of Salzburg and University of Linz,Austria.

10/2002–03/2005 Organisation of the FIT-project (FIT - Frauen in die Technik) for the Department ofMathematics, University of Salzburg, Austria.

Organisation of Meetings

Conferences & Workshops

MSRI Hot Topics Workshop on Optimal transport and applications to machine learning and statistics,4-8 May 2020, MSRI, California, USA. Co-organisers: L. Ambrosio, F. Bach, K. Craig, S. Soatto.

CCIMI conference on Geometric and Topological Approaches to Data Analysis 13 June 2019, IsaacNewton Institute, Cambridge, UK. Co-organisers: J. Aston, Q. Berthet, H. Fawzi, G. Paternain, N.Peake, Newton Gateway to Mathematics.

Workshop on Achieving Impact in Healthcare: From Mathematics to Clinical Support Systems andDevices, 10-11 April 2019, Isaac Newton Institute, Cambridge, UK. Co-organisers: Peter Ashwin,Mauricio Barahona, Ke Chen, John Terry, Newton Gateway to Mathematics.

CIRM winter school on The Mathematics of Imaging, 7-11 January 2019, CIRM, Marseille, France.Co-organisers: J.-F. Aujol, J. Delon, A. Desolneux, J. Fadili, B. Galerne, G. Peyre.

Cantab Capital Institute for the Mathematics of Information – Connecting with Industry, 14 November2018, Isaac Newton Institute, Cambridge, UK. Co-organisers: Newton Gateway to Mathematics.

Developments in Healthcare Imaging - Connecting with Industry, 18 October 2018, Isaac NewtonInstitute, Cambridge, UK. Co-organisers: Newton Gateway to Mathematics.

General meeting of the European Women in Mathematics Association, 3-7 September 2018, Graz,Austria. Co-organisers: K. Baur, K. Hess, E. Resmerita and S. Terracini.

CCIMI conference on The Mathematics of Machine Learning 24 May 2018, Isaac Newton Institute,Cambridge, UK. Co-organisers: Q, Berthet, H. Fawzi, Newton Gateway to Mathematics.

Developments in Healthcare Imaging, 2 May 2018, Isaac Newton Institute, Cambridge, UK.Co-organisers: Newton Gateway to Mathematics.

MFO mini-workshop on Deep Learning and Inverse Problems, 4-10 March 2018, Oberwolfach, Germany.Co-organisers: S. Arridge, M. de Hoop and P. Maass.

From computation to information: recent advances in numerical analysis, 70s birthday conference forArieh Iserles, 31 August - 1 September 2017, Cambridge, UK. Co-organisers: E. Celledoni, A. Shadrinand A. Zanna Munthe-Kaas.

Schlumberger-VMV satellite workshops, Schlumberger Gould Research, 28 September, 27 October, 7December 2017, Cambridge, UK. Co-organiser: E. Yarman.

Cantab Capital Institute for the Mathematics of Information – Connecting with Industry, 22 November2017, Isaac Newton Institute, Cambridge, UK. Co-organisers: Newton Gateway to Mathematics.

Developments in Healthcare Imaging - Connecting with Industry, 18 October 2017, Isaac NewtonInstitute, Cambridge, UK. Co-organisers: Newton Gateway to Mathematics.

MiR@W Day: Image Analysis and Processing in the Life Sciences, 2-3 October 2017, University ofWarwick, UK. Co-organisers: T. Bretschneider, M. Hintermuller and B. Stinner.

Isaac Newton Institute Programme on Variational methods and effective algorithms for imaging andvision (VMV), August - December 2017, Isaac Newton Institute, Cambridge, UK. Co-organisers: K.Chen, A. Fitzgibbon, M. Hintermuller, X.-C. Tai.

IMA Conference on Inverse Problems, 19-21 September 2017, Isaac Newton Institute, Cambridge, UK.Co-organisers: P. Ledger, B. Lionheart, C. Sebu.

LMS Workshop on Inverse Problems and Machine Learning, 18 September 2017, Cambridge, UK.Co-organisers: M. Betcke, N. Bochkina, S. Holman.

CCIMI conference on High Dimensional Mathematics, 25 May 2017, Isaac Newton Institute,Cambridge, UK. Co-organisers: Q, Berthet, H. Fawzi, Newton Gateway to Mathematics.

ATI-LMS Workshop on Inverse Problems and Data Science, 8-10 May, 2017, Edinburgh, UK.Co-organisers: M. Betcke, N. Bochkina, S. Holman.

BIRS Workshop on Optimal Transport meets Probability, Statistics and Machine Learning, 30 April - 5May 5, 2017, Oaxaca, Mexico. Co-organiser: G. Carlier, M. Cuturi, B. Pass.

Developments in Healthcare Imaging, 19 April 2017, Isaac Newton Institute, Cambridge, UK.Co-organisers: Newton Gateway to Mathematics.

Cambridge – Heriot Watt interdisciplinary data science workshop on Mathematical imaging withpartially unknown models, 20-21 February 2017, Jesus College in Cambridge, UK. Co-organisers: M.Benning, M. Pereyra.

Workshop on Uncertainty Quantification In The Mathematics Of Healthcare, Royal Statistical Society,London, UK, 19 January 2017.

CCIMI New Directions in the Mathematics of Information – 10 November 2016, Centre forMathematical Sciences, Cambridge, UK.

Developments in Healthcare Imaging - Connecting with Industry, 19 October 2016, Isaac NewtonInstitute, Cambridge, UK. Co-organisers: Newton Gateway to Mathematics.

Cantab Capital Institute for the Mathematics of Information – Launch Event, 9 May 2016, IsaacNewton Institute, Cambridge, UK.

Workshop on High-dimensional Statistics, Inverse Problems and Convex Analysis, Royal StatisticalSociety, London, UK, 22 March 2016. Co-organiser: M. Pereyra.

EPSRC Centre for Mathematical Imaging in Healthcare – Launch Event, 8 March 2016, Isaac NewtonInstitute, Cambridge, UK. Co-organiser: J. Aston, Newton Gateway to Mathematics.

POEMS workshop on Big Data, Multimodality & Dynamic Models in Biomedical Imaging, 9th March2016, Isaac Newton Institute, Cambridge, UK. Co-organisers: J. Aston, C. Dyer-Smith, S. Reichelt, S.Panayotova, Newton Gateway to Mathematics.

Alan Turing Institute Workshop on Data Rich Phenomena - Modelling, Analysing and Simulationsusing Partial Differential Equations , 14-16 December 2015, Isaac Newton Institute Cambridge, UK.Co-organisers: J. A. Carrillo, C. Elliott, P. Markowich, Y. van Gennip.

Alan Turing Institute Workshop on Theoretical and computational approaches to large scale inverseproblems, 2-4 December 2015, ICMS, Edinburgh, UK. Co-organisers: S. Arridge, J. Aston, P. Richtarik,A. Stuart, J. Tanner.

TGM Workshop on Challenges in Dynamic Imaging Data, Isaac Newton Institute, 9-11 June 2015.

ICMS-Workshop on Gradient flows: from theory to application, ICMS Edinburgh (UK), 21-24 April2015.

BMC/BAMC - LMS workshop on Inverse Problems, Cambridge (UK), 30 March - 2 April 2015.

LMS meetings on Current frontiers in inverse problems: from theory to applications. Co-organisers: D.Lesnic, M. Soleimani.–Statistical Inverse Problems, University of Bath, 4 November 2016–Next Generation Mathematical Approaches in Inverse Imaging, BAMC 2016, University of Oxford, 8April 2016–BIG inverse problems, University of Nottingham, 29 February 2016–Large-scale and nonlinear inverse problems, University of Edinburgh, 21 September 2015–Inverse problems in wave propagation, University of Cardiff, 12 June 2015–Learning in inverse problems, UCL, 9 January 2015– Tomographic reconstructions from boundary data, University of Leeds, 22September 2014.– Hybrid and multi-modal imaging, University of Manchester, 4 July 2014.– Data assimilation and numerical weather prediction, University of Bath, 7 May 2014.– Sparse Regularisation for Inverse Problems, Isaac Newton Institute, Cambridge, 7 February 2014.

Introductory meeting to the IMAGES network – platform for Cambridge (UK) researchers who developand use imaging and analysis tools, University of Cambridge (UK), 24 February 2014.

Workshops IMAGiNG & MATHEMATiCS, a workshop and open forum for scientists to discuss imagingproblems and solutions, CRUK CI lecture theatre, 15 May 2013 & December 3, 2013. Co-organiser: S.Reichelt; University of Munster, 14 January 2014. Co-organisers: M. Burger & S. Reichelt.

Meeting Mathematics and Information in Cambridge, half-day meeting in the Centre for MathematicalSciences, 23 February 2012. Co-organisers: A. Hansen, A. Iserles.

Workshop on Statistics, Learning and Variational Methods in Imaging. Cambridge (UK), 20-21September 2012. Co-organisers: J. Lellmann.

Minisymposia

Data driven methods for inverse problems, Applied Inverse Problems (AIP) Conference 2019, Grenoble(France), 8-12 July 2019. Co-organiser: Z. Kereta.

Anisotropic variational models and partial differential equations, ICIAM 2019, Valencia (Spain), 15-19July 2019. Co-organiser: B. During.

PDE and variational methods for geometry processing for images, Curves and Surfaces 2018, Arcachon(France), 28 June - 4 July 2018. Co-organiser: S. Masnou.

Inverse imaging problems with correlations, IPMS 2018, Malta, 21-25 May 2018. Co-organiser: L. Lang.

Nonlocal partial differential equations and graph-based techniques for imaging, SciCADE 2017, Bath(UK), 11-15 September 2017. Co-organisers: Y. van Gennip, D. Tenbrinck and M. Thorpe.

Inverse Problems and Imaging, LMS-Scheme 3 sessions, British Applied Mathematics Conference 2017,Surrey (UK), 10-12 April 2017. Co-organisers: M. Benning and M. Ehrhardt.

Non-standard regularisation: theory and applications, Applied Inverse Problems (AIP) Conference 2017,Hangzhou (China), 29 May – 2 June 2017. Co-organiser: M. Benning.

Stochastic optimization for inverse problems, Applied Inverse Problems (AIP) Conference 2017,Hangzhou (China), 29 May – 2 June 2017. Co-organiser: M. Ehrhardt.

Hybrid models for inverse imaging problems, Applied Inverse Problems (AIP) Conference 2017,Hangzhou (China), 29 May – 2 June 2017. Co-organisers: M. Benning and H. Dirks.

Beyond filtered backprojection: Radon inversion with a priori knowledge, 100 years of the Radontransform conference 2017, Linz, Austria, 27-31 March 2017. Co-organisers: M. Benning and M.Ehrhardt.

Parameter Selection in Image Reconstruction, SIAM Conference on Imaging Sciences 2016, 23-26 May2016, Albuquerque, New Mexico. Co-organiser: A. Langer.

Inverse Problems in Computer Vision, IPMS 2016, 23 - 28 May 2016, Oludeniz, Fethiye, Turkey.

Variational and PDE Methods in Image Processing, SciCADE 2015, Potsdam (Germany), 14-18September 2015. Co-organiser: J. Lellmann.

Computational learning and model optimization, ICIAM 2015, Beijing (China), 10-14 August 2015.Co-organisers: M. Chung, J.-C. De Los Reyes.

Non-convex optimisation in the imaging sciences, 27th IFIP TC7 Conference 2015, Sophia Antipolis(France), 29 June - 3 July 2015. Co-organisers: M. Benning, T. Valkonen.

Optimising inversion models, Applied Inverse Problems (AIP) Conference 2015, Helsinki (Finland),25-29 May 2015. Co-organisers: E. Haber, J.-C. De Los Reyes.

Challenges in Inverse Problems for Imaging, SIAM Conference on Imaging Sciences 2014, Hong Kong,May 12-14, 2014. Co-organiser: M. Nikolova.

Keep the Edge? From Theory to Practice, SIAM Conference on Imaging Sciences 2014, Hong Kong,May 12-14, 2014. Co-organiser: M. Betcke.

Noise estimation, model selection & bilevel optimisation, IFIP TC 7 Conference on System Modellingand Optimization. Klagenfurt (Austria), 9-13 September 2013. Co-organiser: J.-C. De Los Reyes.

Higher-Order Models for Image Restoration Part I & II, SIAM Conference on Imaging Science.Philadelphia (Pennsylvania), 20-22 May 2012. Co-organiser: K. Bredies.

Geometric Models and Applications in Image and Surface Processing, ICNAAM 2010, Rhodes (Greece),19-25 September 2010. Co-organiser: M. Droske.

Operator Splitting Methods for Large-scale Problems in Imaging - Part I of II, SIAM Conference onImaging Science. Chicago (Illinois), 12-14 April 2010. Co-organiser: M. Burger.

Academic examination

PhD theses

Junqi Tang (University of Edinburgh, UK, 5/2019)Leonie Zeune (University of Twente, Netherlands, 2/2019)Michael Roberts (University of Liverpool, UK, 2/2019)Yosra Yafiene (University of Caen, France, 12/2018)Leise Borg (University of Copenhagen, Denmark, 11/2018)Carole Lazarus (University Paris-Saclay, France, 9/2018)Noemie Debroux (University of Rouen, France, 3/2018)Rafael Henriques (University of Cambridge, UK, 10/2017)Franca Hoffmann (University of Cambridge, UK, 6/2017)Matt Dunlop (University of Warwick, UK, 6/2016)Milana Gataric (University of Cambridge, UK, 11/2015)Solene Ozere (University of Rouen, France, 11/2015)Iulia Cimpan (University of Kent, UK, 10/2015)Arthur Leclaire (Universite Paris Descartes, France, 6/2015)Matthias Ehrhardt (UCL, UK, 06/2015)Clarice Poon (University of Cambridge, UK, 5/2015)Maria Hanel (University of Bayreuth, 12/2014)

Stefano Pedemonte (UCL, UK, 9/2013)Jahn Muller (University of Munster, Germany, 7/2013)Kati Niinimaki (University of Eastern Finland, Kuopio, Finland, 6/2013)Dan Brinkman (University of Cambridge, UK, 2/2013)Dionyssios Mantzavinos (University of Cambridge, UK, 6/2012)Michalis Dimakos (University of Cambridge, UK, 3/2012)

Master theses

Nicholas Piano (Cambridge, UK, 11/2015)Isabelle Bush (Cambridge, UK, 9/2015)

Graduate examination

External Examiner for MRes Programme in SAMBa and for MSc Programme in Modern Applicationsof Mathematics, University of Bath, UK, 2017–.

Undergraduate examination

Member of Part Ia examination committee, 2011/12 & 2012/13.

Academic Supervision

Postdoctoral Fellows, current

Julian Gilbey (05/2019–). Image enhancement for OCR.Noemie Debroux (09/2018–). Image registration, segmentation, reconstruction.Rihuan Ke (11/2018– ). Image analysis and machine learning.Yury Korolev (04/2018 –). Inverse problems, error modelling, machine learning. Newton InternationalFellowship.Lukas Lang (01/2017–). Mathematical image analysis, variational methods and inverse problems.Jingwei Liang (08/2017–). Optimisation.Simone Parisotto (01/2019 –). Image analysis for art conservation & cultural heritage.Angelica Aviles-Rivero (08/2017–). Inverse problems, medical imaging, computer vision, computationalanalysis and machine learning.Kasia Targonska-Hadzibabic (01/2019–). Image analysis for art conservation & cultural heritage.Matt Thorpe (08/2017 –). Graphical models, optimal transport, machine learning anddiscrete-to-continuous limits.

Postdoctoral Fellows, former

Martin Benning (09/2012–09/2018). Currently: Lecturer at Queen Mary University, London, UK.Xiaohao Cai (05/2014–12/2015). Currently: Postdoctoral Fellow at the Mullard Space ScienceLaboratory, UCL, UK.Matthias Ehrhardt (01/2016–09/2018). Currently: Prize Fellow, University of Bath, UK.Jan Lellmann (10/2011–09/2015). Currently: W2 Professor, University of Lubeck, Germany.Pan Liu (08/2017 – 05/2019). Currently: Alibaba, Beijing, China.Tuomo Valkonen (11/2012–01/2016). Currently: Associate Professor, Escuela Politecnica National deQuito, Ecuador.

PhD students, current

Thomas Buddenkotte (10/2017–). Deep learning for inverse problems.Veronica Corona (10/2015–). Task-adapted reconstruction in MRI cancer imaging (joint with J. Aston& K. Brindle & S. Reichelt, CRUK CI).Jan Cross-Zamiriski (10/2018 –). Brain imaging analysis for dementia (joint with Z. Kourtzi,Psychology, Cambridge).Derek Driggs (10/2017–). Large-scale optimisation (joint with H. Fawzi, DAMTP, Cambridge).Tamara Grossmann (10/2018 –). Event-based cameras.Lisa-Maria Kreusser (10/2015–). Mean-field equations, biological networks (joint with P. A. Markowich,DAMTP, Cambridge).

Sebastian Lunz (10/2016–). Deep learning for inverse problems.Philip Sellars (10/2017–). Image classification for hyperspectral imaging data (joint with D. Coomes,Plant Sciences, Cambridge).Ferdia Sherry (10/2016–). Bilevel learning (joint with M. Ehrhardt, Bath).Rob Tovey (10/2016–). Mathematics of electron tomography (joint with P. Midgley, Material Sciences,Cambridge, and M. Benning, Queen Mary).Jonathan Williams (10/2016–). Analysis of airborne imaging data (joint with D. Coomes, PlantSciences, Cambridge).

PhD students, former

Luca Calatroni (09/2012–11/2015). Non-smooth and non-local variational methods. Currently:Postdoctoral fellow, Ecole Polytechnique, Paris, France.Joana Grah (10/2014–10/2017). Mathematical image analysis for cancer research applications (jointwith S. Reichelt, CRUK CI). Currently: Postdoctoral fellow, Technical University of Graz, Austria.Rob Hocking (09/2013–09/2017). Image and video inpainting. Currently: Postdoctoral fellow,University of British Columbia, Canada.Juheon Lee (09/2012– 01/2015). Image registration and segmentation for forest ecology (joint with D.Coomes, Plant Sciences, Cambridge). Currently: Postdoctoral fellow, Stanford University, CA.Kostas Papafitsoros (09/2010–10/2014). Novel higher order regularisation methods for imagereconstruction. Currently: Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany.Evangelos Papoutsellis (09/2011–10/2015). First-order gradient regularisation methods for imagerestoration. Reconstruction of tomographic images with thin structures and denoising piecewise affineimages. Currently: Postdoctoral fellow, University of Manchester, UK.Simone Parisotto (10/2014–12/2018). Anisotropy in mathematical imaging (joint with S. Masnou,Lyon). Currently: Postdoctoral fellow, University of Cambridge, UK.

Supervised graduate projects

Heiner Kremer (06-09/2018): Deblurring with imperfectly known blurring kernels and applications inmicroscopy. Graduate intern student, Joint with Y. Korolev and L. Muresan.Timo Sprekelers (06/2017): Bilevel learning. Part III Essay.Lisa Kreusser (06/2016): Analysis, Modelling and Simulation of Fingerprint Patterns. Research projectin Cambridge Centre for Analysis CDT.Brett Larsen (09/2015): Graph clustering. Master thesis in Scientific Computing, Cambridge. Jointwith M. Benning.Tabea Tscherpel (06/2014, now PhD student in Oxford): Transport inpainting.Part III Essay.Ben Champion (06/2013, now PhD student at UCL): Optical flow for video processing.Part III Essay.Armin Krupp (06/2013, now PhD student in Oxford): Optical flow for video processing.Part III Essay.Rob Hocking (01/2013): Variational Patch Based Inpainting. Research project in Cambridge Centre forAnalysis CDT.Gar Goei Loke (06/2012): Nonlinear diffusion equations for image enhancement.Part III Essay.Kornel Maczynski (06/2012): Video processing - a non-smooth optical flow approach.Research project inCambridge Centre for Analysis CDT.Milana Gataric (01/2012): Coupling of continuum and particle methods.Research project in CambridgeCentre for Analysis CDT.Luca Calatroni (01/2012): Splitting methods for fourth-order image inpainting.Research project inCambridge Centre for Analysis CDT.Evangelos Papoutsellis (06/2011): Oscillating Patterns in Images.Part III Essay.Kostas Papafitsoros (06/2011): Higher Order Regularisation For Total Variation Inpainting.Researchproject in Cambridge Centre for Analysis CDT.Kolyan Ray (01/2011): Understand sparsity - the relation between `0 and `1 minimization.Researchproject in Cambridge Centre for Analysis CDT.

Supervised undergraduate research projects in Cambridge

Margaret Duff, undergraduate intern student, 07–09/2017. Developing image analysis techniques for aportable microscope from ioLight (jointly with J. Grah, J. Lazic from Mathworks, S. Reichelt, R.Williams from ioLight).

Christiana Anastassisadou, undergraduate intern student funded by Unilever, 07–09/2017.Mathematical image analysis for electron microscopy of icecream (jointly with R. Tovey and P. Schuetzfrom Unilever).

Timo Sprekelers, undergraduate intern student, 07–09/2017. Regularised optimal transport for solvinggradient flows.

Emile Okada, undergraduate intern student, 07–09/2016. Building imaging devices: from hardware tosoftware.

Chris Irving, summer intern student, 07–09/2016. Building imaging devices: from hardware to software.

Wuhyun Sohn, summer intern student, 07–09/2016. Seismic imaging (joint with E. Yarman fromSchlumberger Gould Research).

Georg Maierhofer, undergraduate intern student funded by LMS bursary, 07–09/2016. Bileveloptimisation for learning the optimal sampling pattern in MRI.

Verner Vladic, Bridgewater undergraduate intern student, University of Cambridge, UK, 07–09/2015.Regularisation for dynamic imaging

Stefi Anita, Bridgewater undergraduate intern student, University of Cambridge, UK, 07/2014.Segmentation for radiotherapy treatment planning. Joint project with VoxTox.

Visiting international students

Nathan Blanken, visiting master student from the University of Twente, Netherlands, 05-12/2019.Noise-aware neural networks for image reconstruction (joint with C. Brune from Twente).

Christian Etmann, visiting PhD student from the University of Bremen, Germany, 09-11/2018.Adversarial robustness and saliency map (joint with P. Maass from Bremen).

Ramona Sasse, visiting PhD student from the University of Munster, Germany, 08-11/2018. Automatedanalysis of cell colony formation in time-lapse phase-contrast microscopy (joint with Y. Wang fromAstraZeneca, B. Wirth from Munster, A. Bugeau and N. Papadakis from the University of Bordeaux).

Rosa Kowalevski, visiting master student from the University of Lubeck, Germany, 09/2017–01/2018.Machine learning for inverse imaging problems (joint with J. Lellmann from Lubeck).

Alessandro Scalliotti, visiting undergraduate student from Pavia, Italy, 07–09/2017. Spectraldecomposition of sound (joint with J. Aston and M. Benning).

Ayed Ibrahim, visiting undergraduate student from Ecole Polytechnique, France, 04–08/2017. Bileveloptimisation for full waveform inversion (joint with E. Yarman from Schlumberger Gould Research).

Tamara Grossmann, visiting master student from the University of Munster, Germany, 04–09/2017.Superresolution for photoacoustic tomography (joint with M. Burger and F. Wubbeling from Munster,and S. Bohndiek from Cambridge).

Sebastian Neumayer, visiting master student from the University of Kaiserslautern, Germany,09/2016–03/2017. Generalised optimal transport for indirect image matching (joint with O. Oktem,KTH).

Torbjorn Ringholm, visiting PhD student from NTNU, Norway, 06–07/2016. Discrete gradients forEuler elastica minimisation (joint with J. Lazic from Mathworks, Cambridge).

Marie Foged Schmidt, visiting PhD student from Technical University of Denmark, 01–06/2016.Generalised singular value decomposition (joint with M. Benning).

Yoeri Boink, visiting master student from University of Twente, Netherlands, 09–12/2015. Imageanalysis for vessel networks (joint with C. Brune (University of Twente, Netherlands), P. Meyer).

Marie Autume, visiting intern Bachelor and master student from ENS Cachan, France, 2012 & 2015.Art restoration. Joint supervision with Spike Bucklow from the Hamilton-Kerr Institute and StellaPanayotova from the Fitzwilliam Museum, Cambridge.

Veronica Corona, visiting master student from University of Delft, Netherlands, 09/2014–03/2015.Multi-spectral characterisation of thalamic nuclei with ultra-high field MRI (joint with P. Nestor(German Center for Neurodegenerative Diseases (DZNE), Magdeburg)).

Rien Lagerwerf, visiting master student from University of Twente, Netherlands, 09/2014–02/2015.TGV-type inpainting for limited-angle tomography (joint with C. Brune (University of Twente,Netherlands)).

Goezde Sarikaya, visiting undergraduate intern student, Fatih University Istanbul, Turkey,06/2014–09/2014. Reconstruction of MRI data.

Maria Hanel, visiting PhD student from University of Bayreuth, Germany, 04/2014–10/2014. Optimalplacement of cameras.

Rob Tovey, visiting intern undergraduate student, University of Warwick, UK, 07/2014–08/2014.Higher-order convex-concave regularization.

Ziad Kobeissi, visiting undergraduate intern student, University of Lyon, France, 07/2014–08/2014.Generating artificial fingerprints. Joint project with Bertram During (University of Sussex), CarstenGottschlich (University of Gottingen), Stephan Huckemann (University of Gottingen).

Hendrik Dirks, visiting PhD student from University of Munster, Germany, 09/2014–12/2014.David-Crighton Fellow. Imaging of intracellular flows. Joint supervision with Ray Goldstein (DAMTP).

Joana Grah, visiting master student from University of Munster, Germany, 09/2013–03/2014. Trackingof mitotic cells. Joint supervision with Stefanie Reichelt (CRUK CI).

Publications

Books

[117] B. During, C.-B. Schonlieb and M.-T. Wolfram (eds.). Gradient flows: from theory to application.ESAIM Proc. Surveys No. 54, EDP Sciences, France, 2016.

[116] C.-B. Schonlieb, Partial Differential Equation Methods for Image Inpainting, CambridgeMonographs on Applied and Computational Mathematics (No. 29), Cambridge University Press2015.

Preprints

[115] M. Benning, E. Celledoni, M. J. Ehrhardt, B. Owren, C.-B. Schonlieb, Deep learning as optimalcontrol problems: models and numerical methods, arXiv:1904.05657, 2019.

[114] P. Liu, C.-B. Schonlieb, Learning optimal orders of the underlying Euclidean norm in totalvariation image denoising, arXiv:1903.11953, 2019.

[113] J. Williams, C.-B. Schonlieb, T. Swinfield, J. Lee, X. Cai, L. Qie, D.A .Coomes,Three-dimensional Segmentation of Trees Through a Flexible Multi-Class Graph Cut Algorithm(MCGC), arXiv:1903.08481, 2019.

[112] P. Sellars, A. Aviles-Rivero, C.-B. Schonlieb, Superpixel Contracted Graph-Based Learning forHyperspectral Image Classification, arXiv:1903.06548, 2019.

[111] M. Drechsler, L.F. Lang, H. Dirks, M. Burger, C.-B. Schonlieb, I.M. Palacios, Optical flowanalysis reveals that Kinesin-mediated advection impacts on the orientation of microtubules,bioRxiv, 556043, 2019.

[110] S. Parisotto, S. Masnou, C.B. Schonlieb, Higher-Order Total Directional Variation. Part II:Analysis, arXiv:1812.05061, 2018.

[109] S. Parisotto, J. Lellmann, S. Masnou, C.B. Schonlieb, Higher-Order Total Directional Variation.Part I: Imaging Applications, arXiv:1812.05023, 2018.

[108] S. Parisotto, C.B. Schonlieb, Total Directional Variation for Video Denoising, arXiv:1812.05063,2018.

[107] Y. Dong, and C.-B. Schonlieb, Tomographic Reconstruction with Spatially Varying ParameterSelection, arXiv:1811.10227, 2018.

[106] J. Liang, C.B. Schonlieb, Improving FISTA: Faster, Smarter and Greedier, arXiv:1811.01430,2018.

[105] A.I. Aviles-Rivero, G. Williams, M.J. Graves, C.B. Schonlieb, Compressed Sensing Plus Motion(CS+ M): A New Perspective for Improving Undersampled MR Image Reconstruction,arXiv:1810.10828, 2018.

[104] M. Ehrhardt, P. Markiewicz, and C.-B. Schonlieb, Faster PET Reconstruction with Non-SmoothPriors by Randomization and Preconditioning, arXiv:1808.07150, 2018.

[103] J. Adler, S. Lunz, O. Verdier, C.-B. Schonlieb, O. Oktem, Task adapted reconstruction for inverseproblems, arXiv:1809.00948, 2018.

[102] V. Corona, J. Lellmann, P. Nestor, C.-B. Schonlieb, and J. Acosta-Cabronero, A multi-contrastMRI approach to thalamus segmentation, arXiv:1807.10757, 2018.

[101] J.A. Carrillo, B. During, L.M. Kreusser and C.-B. Schonlieb, Stability analysis of line patterns ofan anisotropic interaction model, arXiv:1806.04966, 2018.

[100] E. S. Riis, M. J. Ehrhardt, G. R. W. Quispel, and C.-B. Schonlieb, A geometric integrationapproach to nonsmooth, nonconvex optimisation, arXiv:1807.07554, 2018.

[99] M. Ehrhardt, E. Riis, T. Ringholm, and C.-B. Schonlieb, A geometric integration approach tosmooth optimisation: Foundations of the discrete gradient method, arXiv:1805.06444, 2018.

[98] D. Heydecker, G. Maierhofer,A.I Aviles-Rivero, Q. Fan, C.-B. Schonlieb and S. Susstrunk, Mirror,Mirror, on the Wall, Who?s Got the Clearest Image of Them All? – A Tailored Approach toSingle Image Reflection Removal, arXiv:1805.11589, 2018.

[97] M. Benning, M. M. Betcke, M. J. Ehrhardt, C.-B. Schonlieb, Choose your path wisely: gradientdescent in a Bregman distance framework, arXiv:1712.04045, 2017.

[96] R. Hocking, T. Holding, C.-B. Schonlieb, Numerical analysis of shell-based geometric imageinpainting algorithms and their semi-implicit extension, arXiv:1707.09713, 2017.

[95] M. Benning, C.-B. Schonlieb, T.Valkonen, and V. Vlacic, Explorations on anisotropicregularisation of dynamic inverse problems by bilevel optimisation, submitted, 2016.arXiv:1602.01278

Papers in journals

[94] S. Arridge, P. Maass, O. Oktem, C.-B. Schonlieb, Solving inverse problems using data-drivenmodels, to appear in Acta Numerica, 178 p, 2019.

[93] C. Li, S. Wang, P. Liu, T. Torheim, N. R Boonzaier, B. RJ van Dijken, C.-B. Schonlieb, F.Markowetz, S. J Price, Decoding the Interdependence of Multiparametric Magnetic ResonanceImaging to Reveal Patient Subgroups Correlated with Survivals, Neoplasia 21 (5), 442-449, 2019.

[92] V. Corona, M. Benning, M.J. Ehrhardt, L.F. Gladden, R. Mair, A. Reci, A. J. Sederman, S.Reichelt, C.-B. Schonlieb, Enhancing joint reconstruction and segmentation with non-convexBregman iteration, Inverse Problems, published online February 2019.

[91] S. Parisotto, L. Calatroni, M. Caliari, C.B. Schonlieb, J. Weickert, Anisotropic osmosis filteringfor shadow removal in images, Inverse Problems, published online February 2019.

[90] B. During, C. Gottschlich, S. Huckemann, L. M. Kreusser, C.-B. Schonlieb, An AnisotropicInteraction Model for Simulating Fingerprints, Journal of Mathematical Biology, published onlineJanuary 2019.

[89] L. F. Lang, S. Neumayer, O. Oktem, C.-B. Schonlieb, Template-Based Image Reconstruction FromSparse Tomographic Data, to appear in Applied Mathematics & Optimization, arXiv:1810.08596,2018.

[88] R. Tovey, M. Benning, C. Brune, M. J. Lagerwerf, S. M. Collins, R. K. Leary, P. A. Midgley, C.-B.Schonlieb, Directional Sinogram Inpainting for Limited Angle Tomography, Inverse Problems,published online, 2018.

[87] M. Foged Schmidt, M. Benning, C.-B. Schonlieb, Inverse Scale Space Decomposition, InverseProblems 34 (4), 045008, 2018.

[86] L. Calatroni, M. D’Autume, R. Hocking, S. Panayotova, S. Parisotto, P. Ricciardi, C.-B.Schonlieb, Unveiling the invisible - mathematical methods for restoring and interpretingilluminated manuscripts, Heritage Science 6 (1), 56, 2018.

[85] T. Ringholm, J. Lazic, C.-B. Schonlieb, Variational image regularization with Euler’s elasticausing a discrete gradient scheme, SIAM Journal on Imaging Sciences 11 (4), 2665-2691, 2018.

[84] A. Chambolle, M. Ehrhardt, P. Richtarik, C.-B. Schonlieb, Stochastic Primal-Dual HybridGradient Algorithm with Arbitrary Sampling and Imaging Application, SIAM Journal onOptimization 28 (4), 2783-2808, 2018.

[83] L. Bungert, D.A. Coomes, M.J. Ehrhardt, J. Rasch, R. Reisenhofer, C.-B. Schonlieb, Blind imagefusion for hyperspectral imaging with the directional total variation, Inverse Problems 34 (4),044003, 2018.

[82] M. Burger, L. M. Kreusser, P. Markowich, C.-B. Schonlieb, Pattern formation of a nonlocal,anisotropic interaction model, Mathematical Models and Methods in Applied Sciences 28 (03),409-451, 2018.

[81] M. Burger, H. Dirks and C.-B. Schonlieb, A Variational Model for Joint Motion Estimation andImage Reconstruction, SIAM Journal on Imaging Sciences 11 (1), 94-128, 2018.

[80] V. Grimm, D. McLaren, R. McLachlan, C.-B. Schonlieb, R. Quispel, Discrete gradient methodsfor solving variational image regularisation models, Journal of Physics A: Mathematical andTheoretical 50 (29), 295201, 2017.

[79] R. Hocking, R. MacKenzie, C.-B. Schonlieb, Guidefill: GPU Accelerated, Artist Guided GeometricInpainting for 3D Conversion, SIAM Journal on Imaging Sciences 10 (4), 2049-2090, 2017.

[78] S.M. Collins, R.K. Leary, P.A. Midgley, R. Tovey, M. Benning, C.-B. Schonlieb, P. Rez, M.M.J.Treacy, Entropic comparison of atomic-resolution electron tomography of crystals and amorphousmaterials, Physical review letters 119 (16), 166101, 2017.

[77] L. Calatroni, J. C. De Los Reyes, C.-B. Schonlieb, Infimal convolution of data discrepancies formixed noise removal, SIAM Journal on Imaging Sciences 10 (3), 1196-1233, 2017.

[76] J. Grah, J. Harrington, S. Boon Koh, J. Pike, A. Schreiner, M. Burger, C.-B. Schonlieb, S.Reichelt, Mathematical Imaging Methods for Mitosis Analysis in Live-Cell Phase ContrastMicroscopy, Methods, 115, 15 February 2017, p. 91-99.

[75] V.C. Cao, J.C. De los Reyes, C.-B. Schonlieb, Learning optimal spatially–dependent regularizationparameters in total variation image restoration, Inverse Problems 33 (7), 074005, 2017.

[74] P. Zhong, Z. Gong, S. Li, C.-B. Schonlieb, Learning to diversify deep belief networks forhyperspectral image classification, IEEE Transactions on Geoscience and Remote Sensing 55 (6),3516-3530, 2017.

[73] L. Calatroni, Y. van Gennip, H. Rowland, C.-B. Schonlieb, A. Flenner, Graph clustering,variational image segmentation methods and Hough transform scale detection for objectmeasurement in images, Journal of Mathematical Imaging and Vision 57 (2), 269-291, 2017.

[72] J. C. De Los Reyes, C.-B. Schonlieb, and T. Valkonen, Bilevel parameter learning for higher-ordertotal variation regularisation models, Journal of Mathematical Imaging and Vision, 57 (1), 1-25,2017.

[71] L. Calatroni, C. Cao, J. C. De Los Reyes, C.-B. Schonlieb, and T. Valkonen, Bilevel approachesfor learning of variational imaging models, Variational Methods: In Imaging and GeometricControl 18, 252-283, 2017.

[70] J. Lee, X. Cai, J. Lellmann, M. Dalponte, Y. Malhi, N. Butt, M. Morecroft , C.-B. Schonlieb, andD. A. Coomes, Individual tree species classification from airborne multi-sensor imagery usingrobust PCA, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,9(6), 2554-2567, 2016.

[69] M. Burger, K. Papafitsoros, E. Papoutsellis, and C.-B. Schonlieb, Infimal convolutionregularisation functionals of BV and Lp spaces. Part I: The finite p case, Journal of MathematicalImaging and Vision, 55(3), 343-369, 2016.

[68] J. C. De Los Reyes, C.-B. Schonlieb, and T. Valkonen, The structure of optimal parameters forimage restoration problems, Journal of Mathematical Analysis and Applications 434 (2016),464–500.

[67] J. Lellmann, K. Papafitsoros, C.-B. Schonlieb, and D. Spector, Analysis and Application of aNon-Local Hessian, SIAM J. Imaging Sci., 8(4), pp. 2161–2202., 2015.

[66] M. Moeller, M. Benning, C.-B. Schonlieb, D. Cremers, Variational Depth from FocusReconstruction, Image Processing, IEEE Transactions on, 24(12), 5369-5378. 2015.

[65] J. Lee, X. Cai, C.-B. Schonlieb, and D. Coomes, Non-parametric Image Registration of AirborneLiDAR, Hyperspectral and Photographic Imagery of Wooded Landscapes, Geoscience and RemoteSensing, IEEE Transactions on, 53(11), 6073-6084, 2015.

[64] J. Lellmann, D. Lorenz, C.-B. Schonlieb, and T. Valkonen, Imaging with Kantorovich-Rubinsteindiscrepancy, SIAM J. Imaging Sci., 7(4), 2833–2859, 2014.

[63] J. Maas, M. Rumpf, C.-B. Schonlieb, and S. Simon, A generalized model for optimal transport ofimages including dissipation and density modulation, M2AN, 49 (2015), 1745-1769.

[62] M. Burger, J. Muller, E. Papoutsellis, and C.-B. Schonlieb, Total Variation Regularisation inMeasurement and Image space for PET reconstruction, Inverse Problems 30 (10), 105003, 2014.

[61] M. Benning, L. Gladden, D. Holland, C.-B. Schonlieb, T. Valkonen, Phase reconstruction fromvelocity-encoded MRI measurements – a survey of sparsity-promoting variational approaches,Journal of Magnetic Resonance 238 (2014), pp. 26–43.

[60] L. Calatroni, B. During, and C.-B. Schonlieb, ADI splitting schemes for a fourth-order nonlinearpartial differential equation from image processing, DCDS Series A, Special Issue for Arieh Iserles65th birthday, 34(3), March 2014, pp. 931 – 957.

[59] J. C. De Los Reyes, and C.-B. Schonlieb, Image denoising: Learning noise distribution viaPDE-constrained optimisation, Inverse Problems and Imaging 7(4), pp. 1183–1214, November2013.

[58] K. Papafitsoros, and C.-B. Schonlieb, A combined first and second order variational approach forimage reconstruction, Journal of Mathematical Imaging and Vision, 48(2), pp. 308–338, 2014.

[57] C.-B. Schonlieb, and F. Schubert, Random Simulations for Generative Art Construction - SomeExamples, Journal of Mathematics and the Arts, Vol. 7, Issue 1, 2013, pp. 29-39.

[56] K. Papafitsoros, C.-B. Schonlieb, and B. Segul, Combined first and second order total variationinpainting using split Bregman, in Image Processing On Line, vol. 2013, pp. 112-136.

[55] A. Langer, S. Osher, and C.-B. Schonlieb, Bregmanized Domain Decomposition for ImageRestoration, J. Scientific Computing, May 2012, 28 pp., DOI 10.1007/s10915-012-9603-x.

[54] M. Fornasier, Y. Kim, A. Langer, and C.-B. Schonlieb, Wavelet Decomposition Method forL2/TV-Image Deblurring, SIAM J. Imaging Sciences, Vol 5, No 3, pp. 857–885, 2012.

[53] C. Gottschlich, C.-B. Schonlieb, Anisotropic Diffusion Filtering with A-priori EstimatedOrientation Field for Enhancing Low-quality Fingerprint Images, IET Biometrics, 1 (2), pp.105–113, June 2012.

[52] M. Burger, M. Franek, and C.-B. Schonlieb, Density estimation and smoothing based onregularised optimal transport, Appl. Math. Res. Express (AMRX) 2012 (2), 209-253, 2012.

[51] C.-B. Schonlieb, A. Bertozzi, Unconditionally stable schemes for higher order inpainting, Comm.Math. Sciences, 9 (2), pp. 413–457, 2011.

[50] M. Fornasier, A. Langer, C.-B. Schonlieb, A convergent overlapping domain decomposition methodfor total variation minimization, Numerische Mathematik, Vol. 116, Nr. 4, pp. 645–685, 2010.

[49] M. Burger, L. He, C.-B. Schonlieb, Cahn-Hilliard inpainting and a generalization for grayvalueimages, SIAM J. Imaging Sci., 2 (4), pp. 1129–1167, 2009.

[48] M. Fornasier, C.-B. Schonlieb, Subspace correction methods for total variation and l1-minimization, SIAM J. Numer. Anal., 47 (5), pp. 3397–3428, 2009.

[47] J. D. Rossi, C.-B. Schonlieb, Nonlocal higher order evolution equations, Applicable Analysis. Vol.89(6), pp. 949–960, 2010.

[46] J. Fernandez Bonder, J. D. Rossi, C.-B. Schonlieb, The Best Constant and Extremals of theSobolev Embeddings in Domains With Holes: the L∞ Case, Illinois Journal of Mathematics, 52(4), pp. 1111–1121, 2008.

[45] M.Burger, S.-Y.Chu, P.Markowich, C.-B. Schonlieb, The Willmore Functional and Instabilities inthe Cahn-Hilliard equation, Comm. Math. Sciences, 6 (2), pp. 309–329, 2008.

[44] J. Fernandez Bonder, J. D. Rossi, C.-B. Schonlieb, An Optimization Problem Related to the BestSobolev Trace Constant in Thin Domains, Comm. Contemp. Math. (CCM), 10 (5) (Oct 2008),pp. 633–650.

[43] P.Gerl, C.-B. Schonlieb and K.C.Wang, The Use of Fractal Dimension in Arts Analysis, HarFA -Harmonic and Fractal Image Analysis Journal 2004, pp. 70–73.

Papers in peer-reviewed conference proceedings

[42] C. Etmann, S. Lunz, P. Maass, and C.-B. Schonlieb, On the Connection Between AdversarialRobustness and Saliency Map Interpretability, to appear in ICML 2019, arXiv:1905.04172.

[41] M. Burger, Y. Korolev, C.-B. Schonlieb, C Stollenwerk, A total variation based regularizerpromoting piecewise-Lipschitz reconstructions, to appear in Scale Space Var. Meth. Comp. Vis.(SSVM) 2019, pp. 12, arXiv:1903.05079.

[40] V. Corona, A.I Aviles-Rivero, N. Debroux, M. Graves, C. Le Guyader, C-B Schonlieb and G.Williams, Multi-tasking to Correct: Motion-Compensated MRI via Joint Reconstruction andRegistration, to appear in Scale Space Var. Meth. Comp. Vis. (SSVM) 2019, pp. 12,arXiv:1902.10025.

[39] P Sellars, A Aviles-Rivero, N Papadakis, D Coomes, A Faul, C.-B. Schonlieb, Semi-supervisedLearning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification, toappear in IEEE IGARSS 2019, arXiv:1901.04240.

[38] V. Corona, N. Debroux, A.I Aviles-Rivero, M. Graves, G. Williams, C. Le Guyader and C-BSchonlieb, Motion Correction Resolved for MRI via Multi-Tasking: A SimultaneousReconstruction and Registration Approach, ISMRM abstract 2019.

[37] G. Maierhofer, D. Heydecker, A.I. Aviles-Rivero, S.M. Alsaleli, C.-B. Schonlieb, Peekaboo-whereare the objects? structure adjusting superpixels, 25th IEEE International Conference on ImageProcessing (ICIP), 3693-3697, 2018.

[36] S. Lunz, O. Oktem, C.-B. Schonlieb, Adversarial regularizers in inverse problems, Advances inNeural Information Processing Systems, 8507-8516, 2018.

[35] M.J. Ehrhardt, P. Markiewicz, A. Chambolle, P. Richtarik, J. Schott, C.-B. Schonlieb, FasterPET reconstruction with a stochastic primal-dual hybrid gradient method, Wavelets and SparsityXVII 10394, 103941O, 2017.

[34] M. Benning, G. Gilboa, J.S. Grah, C.-B. Schonlieb, Learning filter functions in regularisers byminimising quotients, Scale Space Var. Meth. Comp. Vis. (SSVM), 511-523, 2017.

[33] M. Benning, M. Moller, R.Z. Nossek, M. Burger, D. Cremers, G. Gilboa, C.-B. Schonlieb,Nonlinear spectral image fusion, Scale Space Var. Meth. Comp. Vis. (SSVM), 41-53, 2017.

[32] P. Zhong, Z. Gong, C.-B. Schonlieb, A dbn-crf for spectral-spatial classification of hyperspectraldata, 23rd International Conference on Pattern Recognition (ICPR), 1219-1224, 2016.

[31] M. Benning, F. Knoll, C.B. Schonlieb and T. Valkonen, Preconditioned ADMM with nonlinearoperator constraint, IFIP Advances in Information and Communication Technology TC7-2015Proceedings, Springer, 10 p., 2016. Preprint arXiv:1511.00425.

[30] M. Burger, K. Papafitsoros, E. Papoutsellis and C.B. Schonlieb, Infimal convolution regularisationfunctionals of BV and Lp spaces. Part II: the infinite p case, IFIP TC7-2015 Proceedings,Springer, 10 p., 2016.

[29] L. Calatroni, J. C. De Los Reyes, and C.-B. Schonlieb, Dynamic sampling schemes for optimalnoise learning under multiple nonsmooth constraints, IFIP TC7-2013 Proceedings, Springer, 10 p.,2014.

[28] M. Benning, L. Calatroni, B. During, C.-B. Schonlieb, A primal-dual approach for a totalvariation Wasserstein flow, GSI 2013 LNCS proceedings, Springer, 8 p.

[27] J. Lellmann, J.-M. Morel, C.-B. Schonlieb, Anisotropic third-order regularization for sparse digitalelevation models, Scale Space Var. Meth. Comp. Vis. (SSVM), 2013, pp. 12.

[26] B. During, and C.-B. Schonlieb, A high-contrast fourth-order PDE from imaging: numericalsolution by ADI splitting, Proceedings of the Conference on Multi-scale and high-contract PDE:from modelling, to mathematical analysis, to inversion, AMS–Contemporary Mathematics(CONM) book series, 11 p, 2012.

[25] P.-E. Barbano, A. Fokas, C.-B. Schonlieb, Alternating regularisation in measurement- and imagespace for PET reconstruction, Proc. Int. Conf. SampTA11, Singapore, 2011.

[24] U. Bauer, C.-B. Schonlieb, M. Wardetzky, Total variation meets topological persistence: A firstencounter, in AIP Conference Proceedings, ICNAAM, Numerical Analysis and AppliedMathematics, International Conference 2010, pp. 1022-1025.

[23] M. Kostner, C.-B. Schonlieb, F. Schubert, Chaos, Noise, Randomness and Coincidence asConstitutional for Generative Art, Conference Proceedings of Bridges 2010, Pecs, 2010.

[22] W. Baatz, M. Fornasier, P. Markowich, C.-B. Schonlieb, Binary Based Fresco Restoration,Conference Proceedings of Bridges 2009, BANFF 2009, pp. 337-338.

[21] C.-B. Schonlieb, A. Bertozzi, M. Burger, L. He, Image Inpainting Using a Fourth-Order TotalVariation Flow, Proc. Int. Conf. SampTA09, Marseilles, 2009.

[20] A. Langer, M. Fornasier, C.-B. Schonlieb, Domain decomposition methods for compressed sensing,Proc. Int. Conf. SampTA09, Marseilles, 2009.

[19] C.-B. Schonlieb, Total variation minimization with an H−1 constraint, CRM Series 9,Singularities in Nonlinear Evolution Phenomena and Applications proceedings, Scuola NormaleSuperiore Pisa 2009, pp. 201-232.

[18] W. Baatz, M. Fornasier, P. Markowich, C.-B. Schonlieb, Inpainting of Ancient Austrian Frescoes,Conference proceedings of Bridges 2008, Leeuwarden 2008, pp.150-156.

[17] C.-B. Schonlieb and K.C.Wang, Feature Selection and Clustering in Arts Analysis, ConferenceProceedings Irish Machine Vision and Image Processing Conference (IMVIP 2003), Coleraine2003, pp. 25-31.

[16] P.Gerl, R.Huber, C.-B. Schonlieb and K.C.Wang, Automatisierte Analyse und Klassifikation vonZeichnungen und Gemalden, Konferenzband Electronic Imaging and the Visual Arts (EVA 2003),Berlin 2003, pp 123-126.

[15] C.-B. Schonlieb and K.C.Wang, Line Segmentation and Analysis With Special Interest to the Ductof a Line, Conference Proceedings Fourth Indian Conference on Computer Vision, Graphics andImage Processing (ICVGIP 2004), Kolkata 2004, pp. 550-555.

Miscellaneous

[14] Y. Van Gennip, C.-B. Schonlieb, Introduction: big data and partial differential equations,European Journal of Applied Mathematics 28 (6), 877-885, 2017.

[13] C.-B. Schonlieb, J.C. De los Reyes, E. Haber, Preface for Inverse Problems special issue onlearning and inverse problems, Inverse Problems 33 (7), 070301, 2017.

[12] NG Burnet, JE Scaife, M Romanchikova, SJ Thomas, AM Bates, E Wong, D. J. Noble, L. E.A.Shelley, S. J. Bond, J. R. Forman, A. C.F. Hoole, G. C. Barnett, F. M. Brochu, M. P.D. Simmons,R. Jena, K. Harrison, P. Lin Yeap, A. Drew, E. Silvester, P. Elwood, H. Pullen, A. Sultana, S.Y.K. Seah, M. Z. Wilson, S. G. Russell, R. J. Benson, Y. L. Rimmer, S. J. Jefferies, N. Taku, M.Gurnell, A. S. Powlson, C.-B. Schonlieb, X. Cai, M. P.F. Sutcliffe, M. A. Parker, Applying physicalscience techniques and CERN technology to an unsolved problem in radiation treatment for cancer:the multidisciplinary ?VoxTox?research programme, CERN ideaSquare journal of experimentalinnovation 1 (1), 3, 2017.

[11] M. Benning, G. Gilboa, C.B. Schonlieb, Learning parametrised regularisation functions viaquotient minimisation, PAMM 16 (1), 933-936, 2016

[10] M. Benning, M. Betcke, M. J. Ehrhardt, C.-B. Schonlieb, Gradient descent in a generalisedBregman distance framework, 2016 Geometric Numerical Integration and its Applications MathsConference, Melbourne, Australia, MI Lecture Notes series of Kyushu University,arXiv:1612.02506, 2016.

[9] X. Cai, C.-B. Schonlieb, J. Lee, J. Scaife, H. Karl, M. Sutcliffe, M. Parker, N. Burnet, Automaticcontouring of soft organs for image-guided prostate radiotherapy, Radiotherapy and Oncology 119,S895-S896, EP-1893, 2016.

[8] C.-B. Schonlieb, Mathematically formalising image restoration, Eureka 63, March 2014.

[7] A. Iserles, C.-B. Schonlieb, Mathematics of Information – The Second Industrial Revolution,Mathematics Today,Mathematics Today, IMA@50 special issue, Vol. 50, No. 1, pp. 53-58,February 2013.

[6] C.-B. Schonlieb, Applying Modern PDE Techniques to Digital Image Restoration, Matlab DigestNewsletters 2012. See http://www.mathworks.co.uk/company/newsletters/articles/

applying-modern-pde-techniques-to-digital-image-restoration.html.

[5] C.-B. Schonlieb, Restoring profanity, PLUS magazine, Issue 50, March 1, 2009. Seehttp://plus.maths.org/content/os/issue50/features/schoenlieb/index.

[4] C.-B. Schonlieb, Modern PDE Techniques for Image Inpainting, PhD Thesis, University ofCambridge, 265 p, June 2009.

[3] C.-B. Schonlieb, How Differential Equations can Make a Bungee Jumper Jump Without a Rope, 7p., 2008.

[2] C.-B. Schonlieb, Emmy Noethers Idealtheorie in Ringbereichen, Mathematische Berichte,Fachbereich Mathematik, Universitat Salzburg. Bericht 30, 2005.

[1] C.-B. Schonlieb, Invariante Momente, Master’s thesis, 2004.

Teaching

Lectures

From shallow to deep variational models, IHP master course, IHP, Paris, France, 18 February 2019.

Topics in Mathematical Imaging, guest lecturer, SFB 1294 Spring School of the University of Potsdam,Fleesensee, Germany, 18-23 March 2018.

A Comparison of Variational Methods and Deep Neural Networks for Inverse Problems, joint withClarice Poon, Mathematical aspects of inverse problems summer school, Alan Turing Institute, London,UK, 29 August – 1 September 2017

Model-based learning in imaging, Oxford MathSys and OxWaSP CDT summer school on machinelearning, Warwick Mathematics Institute and Department of Statistics, UK, 21-23 June 2017.

Image reconstruction and analysis, one lecture delivered in the Part III Medical Physics course,University of Cambridge, UK, Lent term 2017.

Variational methods for inverse imaging problems in biomedicine and remote sensing, lectures &practicals, European Summer School in Modelling, Analysis and Simulation – Crime and ImageProcessing, University of Oxford, UK, 4-8 July 2016.

Biological Imaging and Analysis, lectures for master course in Computational Biology, University ofCambridge, UK, Lent term 2015/16, 2016/17 & 2017/18.

From Computation to Information, graduate lecture & supervision of projects within the CCA-corecourse on Computational Analysis, lecture, University of Cambridge, UK, Lent term 2015/16, 2016/17& 2017/18.

Mathematical Imaging: Solutions and Challenges, summer course at the University of Verona (Italy),6-15 October 2014.

Image Processing - Variational and PDE Methods, Part III lecture (master level), DAMTP, Universityof Cambridge, UK, Lent term 2011/12 & 2012/13 & 2013/14.

Non-smooth regularisation in inverse problems, lectures delivered within a summer school onComputational methods for inverse problems in imaging, University of Eastern Finland, Kuopio campus,June 11-15, 2012.

Imaging & PDEs, graduate lecture & supervision of projects within the CCA-core course onComputational Analysis, lecture, DAMTP, University of Cambridge (United Kingdom), Lent term2011/12 & 2012/13 & 2013/14.

Numerical Analysis, Part II, undergraduate lecture, DAMTP, University of Cambridge (UnitedKingdom), Lent term 2010/11, Michaelmas term 2011/12 & 2012/13 & 2013/14 & 2015/16 & 2016/17.

Modern PDE Techniques for Image Inpainting, minicourse for the PhD training programGraduiertenkolleg 1023: Identification in Mathematical Models, Institute of Numerical and AppliedMathematics, Georg-August Universitat Gottingen (Germany), Winter term 2009/10

Topics in Analysis, supervision, Department of Pure Mathematics & Mathematical Statistics(DPMMS), University of Cambridge (United Kingdom), Lent term 2008

Discrete Mathematics, proseminar, Department of Mathematics, University of Salzburg (Austria),Winter term 2005

History of Mathematics (Life and Work of Famous Female Mathematicians), lecture & proseminar,Department of Mathematics, University of Salzburg (Austria), Winter term 2004

Geometry, proseminar, Department of Mathematics, University of Salzburg (Austria), Summer term2004 and 2005

Statistics, proseminar, Department of Scientific Computing, University of Salzburg (Austria), Summerterm 2004 and 2005

Linear Algebra, tutorial, Department of Mathematics, University of Salzburg (Austria), Summer term2001 and 2002

Outreach activities

Video on Making stuff disappear using applied maths https://youtu.be/-yfApxV62hw, with SamuliSiltanen and Simone Parisotto, May 2019, Oberwolfach, Germany.

Finding Ada Podcast on The Maths of Image Processing,https://findingada.com/blog/category/podcast/, June 2018.

Interview with Samuli Siltanen on image inpainting https://youtu.be/Q0zB2Pk6w9Y, May 2018,Cambridge UK.

Talks on Seeing More in Images: A Mathematical Perspective, Maths Open Days 2018, Cambridge, UK.

Featured speaker at Cambridge Data Science Summit, Wellcome Trust Genome Campus, UK, 9 June2017.

IMI Public Lecture Mathematics can make you fly?, 24 May 2017, University of Bath, UK.

London Mathematical Society / Gresham College lecture Mathematics can make you fly?, 23 May 2017,Gresham College, London, UK.

Organisation of exhibition opening of ‘Women of mathematics: a journey throughout Europe’, a portraitgallery of women mathematicians in Europe, Cambridge, UK, 25 April 2017. http://womeninmath.net

Exhibition of two interactive stands on Fuse your face with a famous person and 3D rendering from 2Dsilhouettes at Centre for Mathematical Sciences Open Day at the Science Festival, Cambridge, UK, 25March 2017.

Plus article on Face fusion, March 2017. https://plus.maths.org/content/face-fusion

Talk on Moving Pictures: Mathematical Reconstruction of Paintings, Festival of Ideas, FitzwilliamMuseum Cambridge, 26 October 2016. Talk given alongside Spike Bucklow and Stella Panayotova.

Talks on Seeing More in Images: A Mathematical Perspective, Maths Open Days 2016, Cambridge, UK.

Talk on Seeing More in Images: A Mathematical Perspective, University of Cambridge Mathematicsand Big Data Showcase, Centre for Mathematical Sciences, Cambridge, UK, 20 April 2016.http://www.turing-gateway.cam.ac.uk/mbd_apr2016-programme.shtml.

Talk on Seeing More in Images: A Mathematical Perspective, Step Up! Mathematical Problem-SolvingDay for Y12 Girls, 18 April 2016, Centre for Mathematical Sciences, Cambridge, UK. Talk recorded athttps://youtu.be/9SPN9Ouxx7g.

Mathematical moments: Interview with the Plus Magazine, April 2016.https://plus.maths.org/content/mathematical-moments-carola-schonlieb. Also featured onhttp://wild.maths.org/five-minutes-withcarola-bibiane-schonlieb

Plus article on What the eye can’t see, April 2016.https://plus.maths.org/content/what-eye-cant-see

100 seconds science video on What is a Fourier transform, Physicsworld, October 2014. http://physicsworld.com/cws/article/multimedia/2014/oct/15/what-is-a-fourier-transform.

Plus article on Restoring profanity, March 2009. Seehttp://plus.maths.org/content/os/issue50/features/schoenlieb/index.

Invited Research Stays ≥ 2 weeks

Institute Henri Poincare. Paris (France). 1–31 March 2019.

University of California, Los Angeles (UCLA). Los Angeles (California). 4–17 May 2015.

Escuela Politecnica National de Quito, Quito (Ecuador), 8–22 February 2015.

University of Vienna, Vienna, (Austria). 15 October – 19 December 2014.

La Trobe University, Melbourne (AU) & Massey University, Palmerston North (NZ). 18 March – 2April 2013.

University of California, Los Angeles (UCLA). Los Angeles (California), 1-14 August 2010.

Institute for Pure and Applied Mathematics (IPAM), University of California, Los Angeles (UCLA).Los Angeles (California), 30 March - 9 May 2008.

Institute for Pure and Applied Mathematics (IPAM), University of California, Los Angeles (UCLA).Los Angeles (California), March-June 2007

University of Buenos Aires (UBA). Buenos Aires (Argentina), September-December, 2006

Invited Oral Presentations

Plenary Lectures (invited single stream lectures in meetings with parallel sessions)

TBA, Foundations of Computational Mathematics (FOCM), Vancouver, Canada, June 2020.

TBA, GAMM2020, Kassel, Germany, 16-20 March 2020.

TBA, Twenty-sixth International Conference on Domain Decomposition Methods, Hong Kong,December 2019.

From shallow to deep learning for inverse imaging problems: some recent approaches, Applied InverseProblems (AIP), Grenoble, France, July 2019.

Variational models and partial differential equations for mathematical imaging, NACONF 2019,Glasgow, Scotland, 25-28 June 2019.

Deep learning for inverse imaging problems: some recent approaches, SIAM CSE, Spokane (WS), 25February - 1 March 2019.

Deep learning for inverse imaging problems: some recent approaches, SPIE Medical Imaging, San Diego(CA), 16-21 February 2019.

Variational models and partial differential equations for mathematical imaging, NUMDIFF-15, Halle(Germany), 3-7 September 2018.

Deep and shallow learning approaches for regularised inversion in imaging, IFIP TC 7 CONFERENCE,Duisburg-Essen, Germany, 23-27 July 2018.

Choose Your Path Wisely: Iterative Regularisation in a Bregman Distance Framework,French-German-Italian Conference on Optimization, Paderborn, Germany, 25-28 September 2017.

Partial differential equations and variational models in inverse imaging and their adaption via learning,19th OMG Congress and Annual DMV Meeting, Salzburg, Austria, 11-15 September, 2017.

Differential operators in image processing: from theory to application, Semi-plenary, IWOTA 2017.

Model-based learning in imaging, SIAM annual meeting, Pittsburg, US, 10-14 July 2017.

Model-based learning in imaging, IMA Conference on the Mathematical Challenges of Big Data,London, UK, 1-2 Dec 2016.

Bilevel learning of variational regularisation models, Problemes Inverses, Controle et Optimisation deFormes (PICOF), Autrans, France, 1-3 June 2016.

Customising Image Analysis Using Nonlinear Partial Differential Equations, SIAM Conference onAnalysis of Partial Differential Equations, Scottsdale, Arizona, US, 7-10 December 2015.

SIAM Keynote Lecture on The variational image: structure of images and their computationaltreatment, Young Researchers in Mathematics Conference 2015, University of Oxford, UK, 17-20August 2015.

Image retrieval and analysis in biomedical imaging: some successful examples and unsolved challenges,Congress for Ingenieria Biomedica y Modelizacion Matematica en Biociencias, Quito, Ecuador, 4-6 June2014.

Optimizing the Optimizers - What is the Right Image and Data Model?, SIAM Imaging Conference2014, Hong Kong, 12-14 May 2014.

Invited talks in lecture series

From differential equations to deep learning for image processing. How mathematics can help toconserve paintings and trees., BIMoS Distinguished Lecture, Berlin, 5 June 2019.

Deep learning for inverse imaging problems: some recent approaches, Dantzig Seminar Series,Amsterdam, 15 February 2019.

Variational models and partial differential equations for mathematical imaging, Margarete Kahndistinguished lecture, Berlin, 2018.

Partial differential equations and variational models in inverse imaging and their adaption via learning,Mary Cartwright lecture of the London Mathematical Society, 2018.

Variational models and partial differential equations for mathematical imaging, EdinburghMathematical Society, Edinburgh, UK, 8 December 2017.

Seeing more in pictures - a mathematical perspective, EMS/EWM Survey Lecture, 7th EuropeanMathematics Congress, Berlin, Germany, 17 July 2016.

Public Lectures

Mathematics can make you fly?, IMI Public Lecture, 24 May 2017, University of Bath, UK.

Mathematics can make you fly?, London Mathematical Society / Gresham College lecture, 23 May2017, Gresham College, London, UK.

Moving Pictures: Mathematical Reconstruction of Paintings, Festival of Ideas, Fitzwilliam MuseumCambridge, 26 October 2016. Talk given alongside Spike Bucklow and Stella Panayotova.

Restoring Profanity: Applying Mathematics to Digital Image Restoration, Cambridge AWISE, LucyCavendish College, Cambridge (UK), 9 May 2013.

Member in Panel Discussions

Women in PDE Workshop, Vienna, Austria, 17 June 2019.

Exhibition opening of Women of Mathematics Throughout Europe, Cambridge, UK, 25 April 2017.

Women in Data Science Workshop, Isaac Newton Institute, Cambridge, UK, 7 December 2016.

Dagstuhl Seminar on Inpainting-based Compression, Dagstuhl, Germany, 14-18 November 2016.

Invited Conference & Workshop Presentations (invited talks at single stream meetings)

Wasserstein for learning image regularisers, Women in PDE Workshop, Vienna, Austria, 17-18 June2019.

Wasserstein for learning image regularisers, Workshop on Mathematics of data: Structuredrepresentations for sensing, approximation and learning, Alan Turing Institute, London, UK, 29-31 May2019.

Wasserstein for learning image regularisers, Workshop on Optimal Transport: from Geometry toNumerics, Erwin Schrodinger Institute, Vienna, Austria, 13-17 May 2019.

A geometric integration approach to non-smooth and non-convex optimisation, IHP workshop onVariational Methods and Optimization in Imaging, IHP, Paris, France, 4-8 February 2019.

Task-adapted reconstruction from tomographic data, Oberwolfach workshop on Tomographic InverseProblems: Theory and Applications, Oberwolfach, Germany, 27 January - 2 February 2019.

Variational models and partial differential equations for mathematical imaging, IMA invited lecture atSIAM UKIE meeting, Oxford, UK, 11 January 2019.

Wasserstein for learning image regularisers, BIRS workshop on Shape Analysis, Stochastic GeometricMechanics and Applied Optimal Transport, Banff Research Station, Canada, 10-13 December 2018

Variational models, PDEs and machine learning for mathematical imaging, survey lecture, Oberwolfachworkshop on Emergence of Structures in Particle Systems: Mechanics, Analysis and Computation,Oberwolfach, Germany, 28 October - 2 November 2018.

Learning regularisers: from shallow to deep regularisers for inverse problems, POLIMI workshop onNonlocal Methods for Data Processing and Analysis: Theory, Optimisation, and Applications, Milano,Italy, 4 June 2018.

Spatio-temporal compressed sensing MRI with dynamic constraints, INdAM Workshop onReconstruction Methods for Inverse Problems, Rome, Italy, 28 May - 1 June 2018.

Learning Regularisers for Imaging Inverse Problems: From Quotient Minimisation to AdversarialNeural Networks, BIRS workshop on Numerical Analysis and Approximation Theory meets DataScience, Banff Research Station, Canada, 22-27 April 2018.PDE constrained optimisation for learning better imaging models, ICMS workshop on New directions inapplied linear algebra, numerical methods for PDEs, and applications, Edinburgh, UK, 9-11 April 2018.

Learning variational models in imaging by bilevel and quotient optimisation, Dictionary Learning onManifolds Workshop, Nice, France, 5-6 September 2017.

Discrete gradients for bilevel optimisation, CHiPS workshop, Trondheim, Norway, 26-30 June 2017.

Model-based learning in imaging, Workshop Partial Differential Equation for large Data, University ofWarwick (UK), 10-12 May 2017.

Dynamic optimal transport in imaging, 3rd Applied Mathematics Symposium Munster, Workshop onShape, Images and Optimization, Munster, Germany, 28 February - 3 March 2017.

British Heart Foundation and The Alan Turing Institute Workshop on Exploring Novel Opportunitiesfor Data Science in Cardiovascular Research, Alan Turing Institute, London, UK, 28 March 2017.

Gradient descent in a generalised Bregman distance framework, Women in Optimization Workshop,Trier, Germany, 20-22 March 2017.

Dynamic optimal transport in imaging, 3rd Applied Mathematics Symposium Munster, Workshop onShape, Images and Optimization, Munster, Germany, 28 February - 3 March 2017.

Mathematical challenges in electron microscopy, The AIMR International Symposium 2017, Sendai,Japan, 13-17 February 2017.

Dynamic optimal transport in imaging: some results and challenges, MFO workshop on OptimalTransport, Oberwolfach, Germany, 29 January - 4 February 2017.

Gradient descent in a generalised Bregman distance framework, Women in Optimisation, Trier,Germany, 20-22 March 2017.

The Mathematics of Arts Restoration, Arts & Science Conference, Fitzwilliam Museum, Cambridge,UK, 8-10 December 2016.

Customised PDEs for image analysis, Workshop on Women in PDEs, University of Vienna, Austria,28-30 November 2016.

Anisotropic interpolation of surfaces, Dagstuhl Seminar on Inpainting-based Compression, Dagstuhl,Germany, 14-18 November 2016.

Seeing more in images - a mathematical perspective, Joint MedViz and Eurographics Visual ComputingWorkshop for Biology and Medicine, Bergen, Norway, 7-9 September 2016.

Model-based learning in imaging, Conference on Image Processing, Computer Vision and MachineLearning based on Optimization and PDEs, Bergen, Norway, 29 August - 1 September 2016.

Mathematics of Tomography, Keynote talk at ToScA 2016, Bath, UK, 6-7 September 2016.

Discrete gradients for computing inverse imaging solutions, Workshop on Optimization in ImageProcessing, Harvard University, MA, 27-30 June 2016.

Mathematical image analysis – from mitotic cells into the woods and to medieval art works, CIMPASummer Research School in Mathematical modeling in Biology and Medicine, Santiago de Cuba, 8-17June 2016.

Mathematical image analysis – from mitotic cells into the woods and to medieval art works, SIAMCambridge Student Chapter Conference, University of Cambridge, ?5 May 2016.

Bilevel optimisation for variational regularisation models, Workshop on High-dimensional Statistics,Inverse Problems and Convex Analysis, Royal Statistical Society, London, UK, 22 March 2016.

Bilevel optimisation for variational regularisation models, Data Assimilation and Inverse ProblemsMeeting, University of Warwick, UK, 22-24 February 2016.

Bilevel learning of variational models, Oberwolfach workshop on Mathematical Imaging and SurfaceProcessing, MFO (Germany), 24-30 January 2016.

What is the right sparsity in imaging?, Workshop on Compressive Sensing and Sparsity, Manchester(UK), 12-13 November 2015.

Learning variational regularization models for image denoising by PDE constrained optimization, IHPInverse Problems Programme, workshop on Stability and reconstruction issues in inverse problems,Paris (France), 29 June - 3 July 2015.

A case study for discrete gradients in image processing, DIMMA Workshop on Numerical Analysis,Complex and Harmonic Analysis and PDEs, NTNU, Trondheim (Norway), 1-5 June 2015.

Total variation regularisation as a discrete gradient flow, Workshop on New Trends in Optimization forImaging, Tsinghua Sanya International Mathematics Forum, TSIMF (China), 19-23 January 2015.

Total variation regularisation as a discrete gradient flow, IFIP TC7 Workshop on Inverse Problems andImaging, Akademie Wolfsburg in Mulheim a.d. Ruh (Germany), 15-17 December 2014.

Optimising the optimisers - what is the right image and data model?, RICAM Special Semester,Variational Methods in Imaging, Linz (Austria), 27-31 October 2014.

Contrast-enhanced and sparse reconstruction for sub-sampled MR velocity imaging, OberwolfachWorkshop on Mathematical Tomography, MFO (Germany), 11-16 August 2014.

Optimising the optimisers – what is the right image and data model?, SFB meeting on Imaging withModulated/Incomplete Data, Graz (Austria), 3-5 July 2014.

Optimizing the optimizers - an adaptive approach to image reconstruction, Workshop on Computationsin infinite dimensions: Challenges in a continuous world, Kavli Royal Society International Centre atChicheley Hall (UK), 30 June - 1 July, 2014.

Optimising image reconstruction by nonlinear PDE constrained optimisation, Conference on NumericalAnalysis for Partial Differential Equations, University of Sussex, Brighton (UK), 18-20 June 2014.

Optimising the image optimisers, Conference on Progres recents dans l’analyse mathematique etnumerique des problemes inverses, CIRM Marseille (France), 19-23 May 2014.

Optimising the image optimisers, Oxbridge-PDE meeting, Cambridge (UK), 20-21 March 2014.

Anisotropic Third Order Regularisation for Surface Interpolation, Workshop on Shape Analysis,Dagstuhl (Germany), 10-14 February 2014.

Higher-Order PDE Techniques for Image Restoration, MIA (Mathematics and Image Analysis) 2012,Institut Henri Poincare, Paris (France), 16-18 January 2012.

Domain decomposition for TV regularised parallel MRI, Workhop on Mathematical Imaging inInteraction with Biomedicine, ICMS, Edinburgh, September 5 - 9, 2011.

Alternating total variation minimisation for PET reconstruction, INI-Workshop on Inverse Problems,Isaac Newton Institute, Cambridge, August 22 - 26, 2011.

Total variation regularized optimal transport for smoothing and density estimation, Workshop onMulti-Scale and High Contrast PDE: from Modelling to Mathematical Analysis to Inversion,Mathematical Institute, Oxford, 28 June -1 July 2011.

Regularised optimal transport for density estimation and smoothing, Inverse Problems and OptimalControl for PDEs, Warwick Mathematics Institute, May 23-27, 2011.

Nonlinear PDEs in Imaging, Modern Topics in Nonlinear Partial Differential Equations: Oxbridge PDEDays, Mathematical Institute, Oxford, April 26-27, 2011.

Minimisation of sparse higher-order energies for large-scale problems in imaging, LMS Invited Lectures,March 21-25, 2011

Smoothing and density estimation with optimal transport, Optimal Transport IPAM - reunionConference, UCLA Conference Centre, Lake Arrowhead (CA), December 12-17, 2010.

Higher-Order Total Variation for Oscillating Patterns, Workshop on Highly Oscillatory Problems.Isaac-Newton Institute for Mathematical Sciences, Cambridge (UK), September 13-17, 2010.

Domain Decomposition for Total Variation Regularized Parallel MRI, Workshop on NovelReconstruction Strategies in NMR and MRI 2010. Gottingen (Germany), September 9-11, 2010.

Regularized Optimal Transport, Optimal Transport Reunion Conference I. UCLA Conference Centre inLake Arrowhead (California), December 6-11, 2009.

Domain Decomposition Algorithm for `1 Regularized Inverse Problems, annual Goslar Workshop 2009 ofthe Graduiertenkolleg 1023. Goslar (Germany), October 12-14, 2009.

Fourth-Order PDEs for Image Restoration, EPSRC Symposium Workshop on New directions incomputational partial differential equations. Warwick (UK), January 12-16, 2009.

Certain Aspects of H−1 Constrained Total Variation Minimization for Image Inpainting, RandomShapes Reunion Conference I. UCLA Conference Centre in Lake Arrowhead (California), December7-12, 2008.

Instabilities in the Cahn-Hilliard equation and the Willmore functional, Workshop on Singularities innonlinear evolution phenomena and applications. Centro di Ricerca Matematica Ennio De Giorgi, Pisa(Italy), May 2008.

Unconditionally Stable Schemes for Higher Order Inpainting. Random Shapes culminating workshop,UCLA Conference Center in Lake Arrowhead (California), June 2007.

The Behavior of the Optimal Hole in the Steklov Eigenvalue Problem in Thin Domains. EncuentroNacional de Ecuaciones Diferenciales (ENED 2006). La Falda (Cordoba) (Argentina), November 2006.

Invited Minisymposium Talks

Task-adapted reconstruction from tomographic data, BAMC 2019, Bath, UK, 24-26 April 2019.

Parameter learning for total variation type regularisation schemes, SIAM Imaging Sciences, Bologna,Italy, 8 June 2018.

A Variational Model for Joint Motion Estimation and Image Reconstruction, British AppliedMathematics Conference, Surrey, UK, 10-12 April 2017.

Bilevel optimisation for variational regularisation models & Discrete gradients for computing inverseimaging solution, two talks at IPMS in Fetihye, Turkey, 23-27 May 2016.

A numerical solver for a Total Variation Wasserstein flow, SciCADE 2015, Potsdam (Germany), 14-18September 2015.

Learning in variational image regularisation & Total variation regularisation as a discrete gradient flow,two talks at ICIAM 2015 in Beijing (China), August 10-14, 2015.

Joint inversion and inpainting for limited angle tomography, IFIP 2015, Sophia Antipolis, 29 June - 3July 2015.

Mixed noise models and their adaption to image data & Regularisation in image and data space fortomographic inversion, two talks at AIP in Helsinki (Finland), 25-29 May 2015.

Total variation regularisation as a discrete gradient flow, FOCM Conference, Montevideo (Uruguay),11-20 December 2014.

Optimising image reconstruction by nonlinear PDE constrained optimisation, IPTA 2014, Bristol (UK),26-28 August 2014.

Directional splitting for nonlinear fourth-order PDEs in imaging applications, Conference on Ellipticand parabolic problems, Gaeta (Italy), 26-30 May 2014.

Optimisation for Image Processing, International Conference on Engineering and ComputationalMathematics (ECM) 2013, Hong Kong, 16-18 December 2013.

Higher-Order Variational Techniques for Image Reconstruction and Enhancement, FGP OptimisationConference 2013, Krakow (Poland), 23-27 September 2013.

Non-smooth geometric reconstruction for high resolution MRI imaging of fluid transport in bed reactors,Minisymposium on Inverse problems with experimental data, Applied Inverse Problems (AIP)Conference 2013, Daejeon (South Korea), 1-5 July 2013.

Domain decomposition for total variation regularisation and applications, 3rd IMA Conference onNumerical Linear Algebra and Optimisation, University of Birmingham, 10-12 September 2012.

Analysis of an alternating regularisation technique for PET reconstruction, BAMC (British AppliedMathematics Conference) 2012, UCL, London (UK), 27-29 March 2012.

Second- versus fourth-order dynamics in imaging, AWM Anniversary Conference at ICERM, BrownUniversity, 17 - 18 September 2011.

Compressive and parallel mathematical techniques for large-scale imaging problems, demo presentationat the BBSRC/AHRC Workshop on the Challenges of Visualising Biological Data, Bristol (UK),November 16-17, 2010.

Total Variation Meets Topological Persistence: A First Encounter, ICNAAM 2010. Rhodes (Greece),September 19-25, 2010.

Chaos, Noise, Randomness and Coincidence as Constitutional for Generative Art, Bridges Conferenceon Mathematics, Music, Art, Architecture, Culture. Pecs (Hungary), July 24-28, 2010.

Higher Order Total Variation Inpainting, Joint SIAM/RSME-SCM-SEMA Meeting on Emerging Topicsin Dynamical Systems and Partial Differential Equations (DSPDEs’10). Barcelona (Spain), May 31 –June 4, 2010.

Recent Numerical Methods for Large-scale Problems in Imaging Applications, SIAM Conference onImaging Science. Chicago (Illinois), April 12-14, 2010.

Inpainting of Ancient Austrian Frescoes, Bridges Conference on Mathematics, Music, Art, Architecture,Culture. Leeuwarden (The Netherlands), July 24-28, 2008.

A Generalization of Cahn-Hilliard Inpainting for Grayvalue Images, Minisymposium on Nonlinear PDEtechniques in imaging at the 6th International Congress on Industrial and Applied Mathematics(ICIAM 2007), Zurich (Switzerland), July 2007.

Cahn-Hilliard inpainting and the Willmore functional, Minisymposium on The role of scale andorientation in mathematical image analysis at the 6th International Congress on Industrial and AppliedMathematics (ICIAM 2007), Zurich (Switzerland), July 2007.

Numerical Study of Stability Properties of the Cahn-Hilliard equation. International Congress ofMathematicians (ICM 2006). Madrid (Spain), August 2006.

Cahn-Hilliard Inpainting and the Willmore Functional. SIAM Conference on Imaging Science 2006.Minneapolis (Minnesota), May 2006.

Feature Selection and Clustering in Arts Analysis. Irish Machine Vision and Image ProcessingConference (IMVIP 2003). University of Ulster, Northern Ireland, September 2003.

Colloquia & Seminar Talks

Deep learning for inverse imaging problems: some recent approaches, Mathematics Colloquium,University of Paderborn, Paderborn, Germany, 3 June 2019.

Deep learning for inverse imaging problems: some recent approaches, UCLA Applied MathematicsColloquium, Los Angeles, CA, 21 February 2019.

Variational models and partial differential equations for mathematical imaging, Applied Mathematicsseminar, Oxford, UK, 22 November 2018.

Deep and shallow learning approaches for regularised inversion in imaging, Mathematics & StatisticsColloquium, University of Reading, Reading, UK, 9 November 2018.

Model-based learning in imaging, University of Twente, Mathematics Colloquium, Enschede,Netherlands, 20 April 2017.

Dynamic optimal transport and applications in imaging, Applied Mathematics Seminar, DTU,Kopenhagen, Denmark, 23 March 2017.

Bilevel learning of variational models, ETH Colloquium, Zurich, Switzerland, 8 March 2017.

Bilevel optimisation for variational regularisation models, Applied and Pure Maths Seminar, EastAnglia University, UK, 16 May 2016.

A generalized model for optimal transport of images including dissipation and density modulation,Analysis seminar, University of Loughborough, UK, 4 May 2016.

Bilevel optimisation for variational regularisation models, Applied and Computational Mathematicsseminar, University of Edinburgh, UK, 17 March 2016.

PDE constrained optimisation for learning the optimal image de-noising model, Maths Seminar Series,University of Reading, UK, 9 February 2016.

Image processing with partial differential equations, Graduiertenkolleg, Kaiserslautern, Germany, 1February 2016.

PDE constrained optimisation for learning the optimal image de-noising model, Numerical AnalysisSeminar, University of Oxford, UK, 21 January 2016.

PDE constrained optimisation for learning the optimal image de-noising model, Applied PDE Seminar,Imperial College London, UK, 19 January 2016.

What is the right sparsity in imaging?, Mathematics Colloquium, Technical University of Berlin,Germany, 6 January 2016.

Learning variational regularization models for image denoising by PDE constrained optimization,Seminario Matematico e Fisico, Politecnico di Milano, 17 June 2015.

Learning variational regularization models for image denoising by PDE constrained optimization,Seminario di Matematica Applicata, University of Pavia, Italy, 16 June 2015.

Learning variational regularization models for image denoising by PDE constrained optimization,Algebra and Analysis seminar, University of Nottingham, UK, 10 June 2015.

From imperfection to information: a mathematical approach to image retrieval and analysis,Mathematics Colloquium, University of Vienna, Austria, 22 October 2014.

From images, corruption and resolution: a mathematical approach, The Archimedians, Cambridge, UK,31 January 2014.

Noise Estimation by PDE-constrained Optimisation, Microsoft Research Cambridge, UK, 16 July 2013.

Mathematical image enhancement in medicine, forensics and the arts, Schlumberger Gould ResearchCenter, Cambridge, UK, June 25, 2013.

Directional splitting for nonlinear fourth-order PDEs in imaging applications, Universitat Munster,Germany, June 20, 2013.

Analytical and Computational Methods for `1 and Total Variation Minimization, Universitat Bremen,Germany, May 2, 2013.

Higher-Order Variational Techniques for Image Reconstruction and Enhancement, The University ofNew South Wales, AU, April 3, 2013.

Noise Estimation by PDE-constrained Optimisation, Sydney University, AU, April 2, 2013.

Noise Estimation by PDE-constrained Optimisation, Massey University, NZ, March 28, 2013.

Higher-Order Variational Techniques for Image Reconstruction and Enhancement, MathematicsColloquium, University of Liverpool, UK, March 8, 2013.

Noise Estimation by PDE-constrained Optimisation, University of Maryland, US, February 6, 2013.

Noise Estimation by PDE-constrained Optmisation, Karl Franzens University of Graz, Austria,December 19, 2012.

Noise Estimation by PDE-constrained Optmisation, University of Munster, Germany, December 14,2012.

Noise Estimation by PDE-constrained Optmisation, Applied Mathematics and Computational Sciencesseminar, KAUST, Saudiarabia, December 8, 2012.

Domain decomposition for total variation regularisation and applications, Scientific ComputingDepartment seminar, STFC Rutherford Appleton Laboratory (RAL), Didcot (Oxford), UK, November22, 2012.

Higher-order PDEs and variational techniques for image restoration, PDE seminar, University of Bath,UK, October 5, 2012.

Operator splitting methods for fourth-order nonlinear PDEs in imaging, Kolloquium der ArbeitsgruppeModellierung – Numerik – Differentialgleichungen, TU Berlin, Germany, March 27, 2012.

Alternating total variation minimisation for PET reconstruction, seminar, University of Gottingen,Germany, March 20, 2012.

Minimisation of sparse higher-order energies for large-scale problems in imaging via parallelisation,CMIC seminar, UCL, London, UK, February 15, 2012.

Domain decomposition for total variation regularisation and applications, ACM/ERGO seminar,University of Edinburgh, UK, February 9, 2012.

Second- versus fourth-order dynamics in imaging, Signal Processing Laboratory Seminars, University ofCambridge, UK, October 12, 2011.

Restoring profanity - mathematical repair of damaged images, Part III Celebration at the Centre forMathematical Sciences, University of Cambridge, UK, April 30, 2011.

Mathematical Imaging, KAUST meeting, Cambridge, UK, January 7, 2011.

TV − L1 PET - alternating regularisation in measurement- and image space, Applied MathematicsSeminar, University of Munster, Germany, November 24, 2010.

Domain decomposition for total variation regularised parallel MRI, Applied Mathematics Seminar,University of Warwick, UK, November 10, 2010.

Fourth-Order PDEs for Image Inpainting, Department of Mathematics, University of Salzburg, Austria,May 17, 2010.

Density Estimation and Smoothing Bases on Regularized Optimal Transport, Applied MathematicsSeminar, Department of Mathematics, University of California, Los Angeles (UCLA), California, US,December 16, 2009.

A Domain Decomposition Algorithm for Total Variation Minimization, INRIA, centre de recherche Lille– Nord Europe. Lille, France, November 19, 2009.

A Domain Decomposition Algorithm for Parallel MRI, Institut fur Numerische Simulation, UniversitatBonn. Bonn, Germany, November 11, 2009.

Domain Decomposition Algorithm for TV Regularized Inverse Problems, Max Planck Institute forBiophysical Chemistry. Gottingen, Germany, October 14,2009.

Cahn-Hilliard Inpainting and Beyond. Mathematics, University of Sussex, February 2009.

Subspace Splittings Applied to Total Variation and `1 Minimization. Seminar for Applied Mathematics,SAM, ETH Zurich, January 2009.

Cahn-Hilliard Inpainting and Beyond. Institut fur Numerische Simulation, Universitat Bonn, Germany,January 2009.

Modern PDE Techniques for Image Inpainting. Institut fur Numerische und Angewandte Mathematik(NAM), Georg-August-Universitat Gottingen, Germany, November 2008.

Domain Decomposition for Total Variation Minimization. Institut fur Numerische und AngewandteMathematik, Fachbereich Mathematik und Informatik, Westfalische Wilhelms Universitat Munster.Munster, Germany, June 2008.

Domain Decomposition for Total Variation Minimization. DAMTP (Department of AppliedMathematics and Theoretical Physics), University of Cambridge, UK, May 2008.

Domain Decomposition for Total Variation Minimization. IPAM (Institute for Pure and AppliedMathematics), UCLA, Los Angeles, US, April 2008.

Inpainting with Higher Order Partial Differential Equations. DAMTP (Department of AppliedMathematics and Theoretical Physics), University of Cambridge, UK, October 2007.

Inpainting with Higher Order Energies. IPAM (Institute for Pure and Applied Mathematics), UCLA,Los Angeles, US, April 2007.

Variational Approaches in Image Processing. IPAM (Institute for Pure and Applied Mathematics),UCLA, Los Angeles, US, April 2007.

Stability of the Cahn-Hilliard Equation and its Application in Image Processing. Federal University ofSanta Catarina, Brasil, November 2006.

Instabilities in Cahn-Hilliard and the Willmore functional. University of Buenos Aires, Argentina,October 2006.

Inpainting with Cahn-Hilliard. University of Vienna, Austria, June 2006.

The Cahn–Hilliard equation for a perturbed stationary solution. University of Vienna, Austria, January2006

Orthogonale Arrays und Endliche Korper. University of Salzburg, Austria, June 2005.

Some Convergence Problems in Lagrange Interpolation with Equidistant Nodes. University of Salzburg,Austria, June 2005.

Lagrange Interpolation. University of Salzburg, Austria, January 2005.

Digital Line Detection and Segmentation. University of Salzburg, Austria, June 2004.

Das Paradoxon von Banach Tarski. University of Salzburg, Austria, June 2004.

Image Analysis and Classification. University of Salzburg, Austria, May 2003.

Cambridge, UK. June 24, 2019