Date: Wed. March 20, 2024
Event: FAU MoD Lecture
Event type: On-site / online
Organized by: FAU MoD, the FAU Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)

FAU MoD Lecture: Image Reconstruction – The Dialectic of Modelling and Learning
Speaker: Prof. Dr. Martin Burger
Affiliation: DESY, German Electron Synchrotron and Universität Hamburg

Abstract. In this talk we will discuss some current and future challenges in high-dimensional image reconstruction, which is based on the solution of large-scale inverse problems involving various uncertainties. While classical methods were purely based on physical models for forward operators and regularizations, modern machine learning techniques create the antithesis of data-driven approaches. We will discuss some pitfalls that machine learning can encounter in inverse problems and discuss opportunities for the synthesis of model- and data-driven approaches.

BIO.- Martin Burger is a leading scientist at DESY and Professor of Mathematics at the University of Hamburg, where he heads the Computational Imaging working group. Together with his team, he develops imaging reconstruction methods and novel mathematical tools with the aim of improving the reconstruction and analysis of scientific images with special concern in the mathematical foundations of machine learning and of algorithms in data science. He is a world-leading expert in inverse problems and applied mathematics and has received numerous awards and was invited speaker at all major international conferences. Martin Burger has a background in applied mathematics, specialising in inverse problems, mathematical modelling and partial differential equations.



Uploading resources…please check again later!


This is a hybrid event (On-site/online) open to: Public, Students, Postdocs, Professors, Faculty, Alumni and the scientific community all around the world.


Wed. March 20, 2024 at 14:30H (Berlin time)


On-site / Online

[On-site] Friedrich-Alexander-Universität Erlangen-Nürnberg.
Room H13 Johann-Radon-Hörsaal
Cauerstraße 11, 91058 Erlangen
GPS-Koord. Raum: 49.573764N, 11.030028E

[Online] FAU Zoom link
Meeting ID: 624 1094 3213 | PIN code: 694096

This event on LinkedIn

See poster

You might like:
FAU MoD Lectures
• FAU MoD Lecture: The role of Artificial Intelligence in the future of mathematics by Prof. Dr. Amaury Hayat
• FAU MoD Lecture: FAU MoD Lecture. Special November 2023 by Prof. Dr. Michael Kohlhase and Prof. Dr. Edriss S. Titi
• FAU MoD Lecture: Free boundary regularity for the obstacle problem by Prof. Dr. Alessio Figalli
• FAU MoD Lecture: Physics-Based and Data-Driven-Based Algorithms for the Simulation of the Heart Function by Prof. Dr. Alfio Quarteroni
• FAU MoD Lecture: From Physics-Informed Machine Learning to Physics-Informed Machine Intelligence: Quo Vadimus? by Prof. Dr. George Karniadakis
• FAU MoD Lecture: From Alan Turing to contact geometry: Towards a “Fluid computer” by Prof. Dr. Eva Miranda
• FAU MoD Lecture: Applications of AAA Rational Approximation by Prof. Dr. Nick Trefethen
• FAU MoD Lecture: Learning-Based Optimization and PDE Control in User-Assignable Finite Time by Prof. Dr. Miroslav Krstic

Don’t miss out our last news and connect with us!

LinkedIn | Twitter | Instagram