Gitta Kutyniok (Institute of Mathematics, TU Berlin, Germany)

Learning the Invisible

Gitta Kutyniok currently holds an Einstein Chair at the Technische Universität Berlin and is head of the Applied Functional Analysis Group. She received her Diploma in Mathematics and Computer Science as well as her Ph.D. degree from the Universität Paderborn in Germany, and her Habilitation in Mathematics in 2006 at the Justus-Liebig Universität Gießen. From 2001 to 2008 she held visiting positions at several US institutions, including Princeton University, Stanford University, Yale University, Georgia Institute of Technology, and Washington University in St. Louis. In 2008, she became a full professor of mathematics at the Universität Osnabrück, and moved to Berlin three years later.  She received a research award from the Universität Paderborn in 2003, the Research Prize of Gießen and a Heisenberg-Fellowship in 2006, the von Kaven Prize by the DFG in 2007, and an Einstein Chair in 2008. She gave the Noether Lecture at the ÖMG-DMV Congress in 2013 and the Hans Schneider ILAS Lecture at IWOTA in 2016, and became a member of the Berlin-Brandenburg Academy of Sciences and Humanities in 2017. She is Scientific and Executive Director of the graduate school BIMoS and Chair of the SIAM Activity Group on Imaging Sciences. Her main research interests are in the areas of applied harmonic analysis, compressed sensing, deep learning, imaging science, high-dimensional data analysis, inverse problems, and applications to life sciences and telecommunication.

Edouard Oudet (Universite Grenoble Alpes, France)

Optimizing one dimensional structures

Edouard Oudet is Professor of Applied Mathematics at University Grenoble Alpes and a member of LJK since 2010. His research interests include calculus of variation, shape optimization, optimal transportation and spectral theory. Since February 2015, he is the leader of the new team CVGI ("Calcul des variations, géométrie, image").  He has supervised or co-supervised 3 PhD theses, and is currently supervising three PhD students. He has written 30 articles in peer-reviewed international journals (ARMA, Numerische Mathematik, SIMA, SICON, JMIV,...).

Alessandro Sarti (EHESS, France)

Mathematics of Visual Perception: A Neurogeometrical Approach

Alessandro Sarti is Research Director at the Center of Mathematics CAMS (CNRS-EHESS), Paris.  He chairs the courses of Neuromathematics as well as of Post-structural  morphodynamics. He got his PhD from the University of Bologna and his post-doc from the Math. Dept. of University of California, Berkeley. His research interests deal with differential geometry of embodied and extended cognitive systems and more in general with the becoming of forms from heterogeneous differential constraints. He is editor in chief of the Springer collection "Lecture Notes in Morphogenesis".

Julia Schnabel (King's College London, UK)

Medical imaging in the deep learning revolution

Julia Schnabel has graduated with an MSc (Diplom) in Computer Science from the Technical University Berlin in 1993, and with a PhD in Computer Science (Medical Imaging) from University College London in 1998. After a string of postdocs at the Image Sciences Institue (University Medical Center Utrecht), Imaging Sciences Division (King’s College London) and the Centre for Medical Image Computing (University College London), she became Associate Professor in Engineering Science (Medical Imaging) at the University of Oxford and Fellow in Engineering at St. Hilda’s College Oxford in 2007. In 2014 she was promoted to Full Professor in Engineering Science by Recognition of Distinction, and in 2015 she joined King's College London as new Chair of Computational Imaging at the School of Biomedical Engineering and Imaging Sciences. Julia has co-/authored over 150 peer-reviewed publications in the domains of biomedical image registration, segmentation, and reconstruction for a wide range of clinical applications, such as fetal imaging, neuroimaging, cardiac imaging and cancer imaging. She is currently heading a research group of 10 PostDocs and 5 PhDs, having graduated 19 PhD students in the past. Julia is an Associate Editor of IEEE Transactions on Medical Imaging and IEEE Transactions on Biomedical Engineering, a member of the Editorial Board of Medical Image Analysis, and has served on the programme/scientific review committees of a number of international medical imaging and computer vision conferences. She has been General Chair of the International Workshop on Biomedical Image Registration (WBIR) in 2016, and most recently Program Chair of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) held in 2018. She is a Director of the successful International Medical Imaging Summer School (MISS), held every two years in Favignana, Sicily, exploring the interfaces of Medical Imaging with Computer Vision, Machine Learning and Deep Learning. In 2018 Julia was elected MICCAI Fellow "For contributions to multiple areas of medical image computing, and for distinguished service to the MICCAI conference and Society”.