Transforming the World
Young Academy committee
Note regarding the COVID-19 pandemic
At the moment we are optimistic that we will be able to organize the events of the semester in-person or in a hybrid in-person/online manner. In the unfortunate case that this will not be possible we will switch to a pure online format.
Scope of the Semester
Mathematical image and data processing is a rapidly developing scientific field which involves an extremely rich spectrum of mathematical areas including inverse problems, mathematical optimization, harmonic and functional analysis, stochastics, partial differential equations and calculus of variations, geometry, morphology and topology. At the same time it requires interdisciplinary collaboration with computer scientists dealing with computer graphics, data visualization, machine learning and human-computer interaction as well as with researchers who determine the application-specific focus.
This special semester aims to bring together leading experts in these fields with young researchers and students to exchange ideas and participate in cutting-edge research, create synergies, enhance current trends and outline future directions.
A variety of activities are planned for the semester: A Kick-off Workshop on October 6-8, 2021, various targeted lectures and tutorials in Fall/Winter 2021/22, as well as events for students and young scientists organized by the Young Academy committee.
The Thematic Einstein Semester will conclude with the SIAM Conference on Imaging Science 2022, which will be held at TU Berlin from March 22nd to 25th, 2022.
|8-10 October 2021||Kick-off Workshop, TU Berlin|
|November 2021 - January 2022||Three plenary talks (exact dates to be announced)|
|October 2021 - February 2022||Three special tutorials (exact dates to be announced)|
|March 2022||Hackathon event (exact date to be announced)|
|22-25 March 2022||SIAM Conference on Imaging Science, TU Berlin|
The Kick-off Workshop of the Thematic Einstein Semester on Mathematics of Imaging in Real-World Challenges will take place in TU Berlin on 6-10 October 2021. This event will bring together practitioners, biomedical engineers, computer vision and machine learning experts as well as applied mathematicians in order to exchange on the current developments in applications and theory of imaging science. This meeting will be designed to foster interdisciplinary collaborative teams in order to identify and address the most pressing issues in the field.
Apart from the invited talks, the Kick-off workshop will include a special section on Open Research & Open Access Software, a podium discussion on Data Science beyond Academia as well as a poster session for students and young researchers.
Registration details and further information will follow in May 2021.
|Raymond H. Chan||City University of Hong Kong|
|Daniel Cremers||TU Munich|
|Marya Doneva||Phillips Forschung Hamburg|
|Kerstin Hammernik||Imperial College|
|Peter Maass||University of Bremen|
|Nina Miolane||Stanford University|
|Bernhard Preim||University of Magdeburg|
|Daniel Potts||TU Chemnitz|
|Daniel Rückert||TU Munich|
|Johannes Schindelin||Microsoft, Git|
|Katja Schladitz||Fraunhofer ITWM|
|Christoph Schnörr||University of Heidelberg|
|Tanja Teuber||Carl Zeiss AG|
|Martin Uecker||University Medical Center Göttingen|