Date: Mon. April 20, 2026 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: Data Driven Modeling for Scientific Discovery and Digital Twins Speaker: Prof. Dr. Dongbin Xiu Affiliation: Department of Mathematics. The Ohio State University (USA) […]
2025-resources
17 posts
Date: Mon. May 4, 2026 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: A data-driven approach to closed-loop control of wound state progression to drive healing outcomes Speaker: Prof. Dr. Marcella M. Gomez Affiliation: University of […]
Date: Mon. February 16, 2026 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: Hybrid Modeling and System Identification: Past and Future Directions Speaker: Prof. Dr. Helon Hultmann Ayala Affiliation: PUCPR, Pontifical Catholic University of Paraná (Brazil) […]
Date: Mon. February 2, 2026 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: A long life: How desirable is it, evolutionarily speaking? Speaker: Prof. Dr. Hanna Kokko Affiliation: Institute of Organismic and Molecular Evolution (iomE). Johannes […]
Date: Mon. January 26, 2026 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: Bridging numerics and scientific machine learning for industrial applications Speaker: Dr. Christopher Straub Affiliation: Fraunhofer IISB (Germany) Abstract. In this talk, we discuss […]
Date: Wed. December 10, 2025 Event: FAU MoD Workshop Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Session 01: 11:30H Lyapunov meets Koopman: a new approach to data-driven analysis of nonlinear dynamics Speaker: Prof. Dr. Giovanni Fantuzzi Affiliation: FAU MoD, Research Center for […]
Date: Mon. November 17, 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: Quantum firmware: optimal control for quantum processors Speaker: Prof. Dr. Tommaso Calarco Affiliation: University of Cologne | University of Bologna Abstract. Quantum optimal […]
Date: Mon. November 10, 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 Components in PDE Solvers Speaker: Prof. Dr. Nils Thürey Affiliation: TUM, Technical University of Munich Abstract. In this lecture, I will talk […]
Join us on Saturday October 25, 2025 at the #NdW25! Our FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship will be at the “Lange Nacht der Wissenschaften” (Long Night of Sciences) in Erlangen, Fürth and Nürnberg with: Exhibition Sentimentanalyse mit Transformern in Aktion […]
Date: Mon. October 27, 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: Finding the optimal model complexity of whole-brain models and digital twins Speaker: Prof. Dr. Xenia Kobeleva Affiliation: Department of Neurostimulation, Ruhr-Universität Bochum (Germany) […]
Date: Mon. October 13, 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: Disruption in science and engineering happens at scale Speaker: Prof. Dr. Johannes Brandstetter Affiliation: Johannes Kepler University Abstract. In the era of LLM […]
Join us on Saturday October 25, 2025 at the #NdW25! Our FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship will be at the “Lange Nacht der Wissenschaften” (Long Night of Sciences) in Erlangen, Fürth and Nürnberg with: Exhibition Das Turnpike-Phänomen in Gasnetzen. Theoretische […]
Next Thursday September 25, 2025 our team member Martín Hernández will present his PhD Thesis on: “From Optimal Control to Random and Neural Network Approximation” Supervisor: Prof. Enrique Zuazua, FAU – Friedrich Alexander-Universität Erlangen-Nürnberg (Germany) Abstract. This talk presents contributions grounded in control and computation. First, we focus on long-time […]
Date: Tue. September 23, 2025 Event: FAU MoD Lecture Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Session 01: 11:30H HYCO: Hybrid-Cooperative Learning for PDEs Speaker: Dr. Lorenzo Liverani Affiliation: FAU MoD, Research Center for Mathematics of Data | FAU DCN-AvH at Friedrich-Alexander-Universität […]
On August 26-29, 2025 our researcher FAU DCN-AvH, Director Akad. Prof. Martin Gugat and Prof. Jan Sokolowski organized the “The Exponential Turnpike Property for Neural Differential Equations”, a special session on Recent Developments in Optimal Design of Control Systems & the Turnpike Property at the MMAR 2025 – 29th International […]
Next Monday March 10, 2025: FAU DCN-AvH Mini-Workshop on Analysis, Numerics, Control and Machine Learning Organized by: FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Session 01. Title: Model order reduction for parametric dynamical systems Speaker: Giulia Sambataro […]
On Tuesday March 4, 2024 our postdoctoral researchers Michael Schuster will talk at the SIGOPT 2025 International Conference on Optimization in Siegen, Germany. Slides Abstract. In the operation of pipeline networks, compressors play a crucial role in ensuring the network’s functionality for various scenarios. In this contribution we address the […]