Machine Learning and PDEs Workshop

Next year, April 28 – 30, 2025, our FAU MoD, Research Center for Mathematics of Data is hosting the “Machine Learning and PDEs” workshop (MLPDEs2025) supported by the AFOSR, Air Force Office of Scientific Research from April 28 to 30, 2025 at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg in Erlangen – Bavaria (Germany).

This international workshop brings together researchers from across Europe and the United States to explore the growing connection between Machine Learning (ML) and Partial Differential Equations (PDEs)—two core fields in modern mathematics that are now developing a dynamic, mutually beneficial relationship. ML methods are increasingly used to simulate and solve complex PDEs, such as those found in bio-mathematics and fluid dynamics. Meanwhile, techniques from PDE and control theory are helping us better understand and improve ML models.

With participants from diverse backgrounds, this event aims to establish a collaborative platform for experts to network, share insights, and drive progress in this exciting field. We’ll dive into recent theoretical advancements and applications, while also discussing ongoing challenges in areas such as:

• Control and PDE methods for universal approximation and data classification
• Mean field analysis of neural networks
• ML applications in traffic flow modeling and autonomous driving
• ML and numerical simulation in bio-mechanics and micro-fluidics

Join us as we bridge these fields, focusing on both foundational research and practical applications.

REGISTRATION

Registration is free but mandatory.
Registration link: TBA
*After the event, an attendance certificate will be sent by email (Non-academic credits).

SPEAKERS

• Paola Antonietti. Politecnico di Milano
• Alessandro Coclite. Politecnico di Bari
• Fariba Fahroo. Air Force Office of Scientific Research
• Giovanni Fantuzzi. FAU MoD/DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg
• Borjan Geshkovski. Inria, Sorbonne Université
• Paola Goatin. Inria, Sophia-Antipolis
• Alexander Keimer. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg
• Anne Koelewijn. FAU MoD, Friedrich-Alexander-Universität Erlangen-Nürnberg
• Miroslav Krstic. UC San Diego
• Camilla Nobili. University of Surrey
• Gianluca Orlando. Politecnico di Bari
• Michele Palladino. Università degli Studi dell’Aquila
• Gabriel Peyré. CNRS, ENS-PSL
• Alessio Porretta. Università di Roma Tor Vergata
• Francesco Regazzoni. Politecnico di Milano
• Domènec Ruiz-Balet. Imperial College
• Daniel Tenbrinck. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg
• Daniela Tonon. Università di Padova
• Yaoyu Zhang. Shanghai Jiao Tong University
• Wei Zhu. Georgia Institute of Technology

AUDIENCE

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

PROGRAM

TBA

WHEN

Mon. – Wed. April 28 – 30, 2025 • 09:30H – 17:00H

 

WHERE

On-site / Online

Scientific Committee

• Giuseppe Maria Coclite. Politecnico di Bari
• Enrique Zuazua. FAU MoD/DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg
 

Organization Committee

• Nicola De Nitti, EPFL, École Polytechnique Fédérale de Lausanne
• Lorenzo Liverani. FAU DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg
• Darlis Bracho Tudares. FAU MoD/DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg

 
You might like:
• FAU MoD Lectures
• Upcoming events

  
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