Date: Mon. June 23, 2025 Event: FAU MoD Lecture Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) FAU MoD Lecture: AI for maths and maths for AI Speaker: Dr. François Charton Affiliation: Meta | FAIR | École Nationale des Ponts et Chaussées Abstract. I will present recent results, …
FAU MoD Course: Towards a Mathematical Foundation of Deep Learning: From Phenomena to Theory
Date: Fri. – Thu. May 2 – 8, 2025 Event: FAU MoD Course Organizer: FAU MoD, Research Center for Mathematics of Data at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg FAU MoD Course: Towards …
FAU MoD Lecture: How Mathematics can shape Neurology of the Future?
Date: Mon. October 20, 2025 Event: FAU MoD Lecture Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) FAU MoD Lecture: How Mathematics can shape Neurology of the Future? Speaker: Prof. Dr. Xenia Kobeleva Affiliation: Department of Neurostimulation, Ruhr University Bochum (Germany) OUR SPEAKER Xenia Kobeleva is an assistant …
EECI-IGSC 2025 (M18): Control and Machine Learning
This Summer, from June 30 to July 4, 2025, Prof. Enrique Zuazua (FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg) joint with Prof. Martin Lazar (University of Dubrovnik) will give the M18 DUBROVNIK module on “Control and Machine Learning” at the IEECI-IGSC 2025: International Graduate School on Control 2025 organized by EECI – European Embedded Control Institute and IEEE CSS …
FAU MoD Lecture S. Jin / N. Liu (double session)
Date: Fri. May 2, 2025 Event: FAU MoD Lecture Series (double session) May 2025 Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Session 01: 10:00H FAU MoD Lecture: Random Batch Methods for classical and quantum molecular dynamics Speaker: Prof. Dr. Shi Jin Affiliation: SJTU, Shanghai Jiao Tong University …
Efficient Solvers for Partial Differential Equations by U. Rüde
On Tuesday February 4, 2025 our FAU MoD member, Prof. Dr. Ulrich Rüde will give a NHR PerfLab Seminar on “Efficient Solvers for Partial Differential Equations” organized by organized by Gerhard Wellein / NHR, Erlangen National High Performance Computing Center and the RRZE, Erlangen Regional Computing Center in Erlangen, Germany. Abstract. This talk concerns the …
Machine Learning and PDEs Workshop
Next Spring, on April 28 – 30, 2025, our FAU MoD, Research Center for Mathematics of Data is hosting the “Machine Learning and PDEs” workshop (MLPDES25) supported by the FAU …
FAU MoD Lecture: Optimization-based control for large-scale and complex systems: When and why does it work?
Date: Tue. June 3, 2025 Event: FAU MoD Lecture Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) FAU MoD Lecture: Optimization-based control for large-scale and complex systems: When and why does it work? Speaker: Prof. Dr. Lars Grüne Affiliation: Universität Bayreuth (Germany) Abstract. Model Predictive Control (MPC) and …
FAU MoD Lecture: Mathematics of neural stem cells: Linking data and processes
Date: Wed. May 7, 2025 Event: FAU MoD Lecture Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) FAU MoD Lecture: Mathematics of neural stem cells: Linking data and processes Speaker: Prof. Dr. Ana Martin-Villalba Affiliation: Molecular Neurobiology. DKFZ, German Cancer Research Center (Deutsches Krebsforschungszentrum). Germany Abstract. Adult stem …
FAU MoD Lecture: Control Design for Mixing in Incompressible Flows
Date: Thu. December 05, 2024 Event: FAU MoD Lecture Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) FAU MoD Lecture: Control Design for Mixing in Incompressible Flows Speaker: Prof. Dr. Weiwei Hu Affiliation: Visiting Professor at FAU DCN-AvH from University of Georgia, Athens (UGA) Abstract. Understanding mass transport, …