Date: Mon.-Wed. June 22 – 24, 2026
Event: MLPDES26, Machine Learning and PDEs Workshop (2026)
Host: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)
Event type: Hybrid (On-site / Online)
Registration form: dcn.nat.fau.eu/registration-mlpdes26

Next Spring, our FAU MoD, Research Center for Mathematics of Data is hosting the “Machine Learning and PDEs” workshop 2026 (MLPDES26) supported by the FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics, PoliBa, Politecnico di Bari and the Alexander von Humboldt Stiftung/Foundation organized from June 22 to 24, 2026 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.

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

Poster of the #MLPDES26

 

REGISTRATION

Registration form: dcn.nat.fau.eu/registration-mlpdes26

*After the event, an attendance (on-site) certificate will be sent by email (Non-academic credits).

 

SPEAKERS

• Riccardo Adami. PoliTO, Politecnico di Torino.

• Antonio Alvarez. UAM, Autonomous University of Madrid and FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg

• Harbir Antil. GMU, George Mason University

• Luigi Berselli. Unipi, University of Pisa

• Maria Bruna. University of Oxford

• Giuseppe Buttazzo. Unipi, University of Pisa

• Gonzalo Cao Labora. EPFL, École Polytechnique Fédérale de Lausanne

• Elena Celledoni. NTNU, Norwegian University of Science and Technology

• Annalisa Cesaroni. Unipd, Università degli Studi di Padova

• Cleopatra Christoforou. Cyprus University of Technology

• Ulrik Skre Fjordholm. University of Oslo

• Ingenuin Gasser. Universität Hamburg

• Sam Krupa. ENS Paris, École Normale Supérieure – PSL

• Xue-Mei Li. EPFL, École Polytechnique Fédérale de Lausanne

• Francesco Maddalena. Poliba, Politecnico di Bari

• Lorenzo Pareschi. Heriot Watt University and Università degli studi di Ferrara

• Katharina Schratz. Sorbonne Université

• Emil Wiedemann. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg

 

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. June 22 – 24, 2026 • 09:30H – 17:00H
This event at your local time
 

WHERE

On-site / Online

[On-site] FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg
Senatssaal (Senate Hall) im Kollegienhaus
Universitätsstraße 15, 91054
Erlangen – Bavaria, Germany
How to get to Erlangen?

[Online] Live-streaming
https://www.fau.tv/clip/id/59621

 

Scientific Committee

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

Organizing Committee

• Darlis Bracho Tudares. FAU MoD | DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg
• Nicola De Nitti. Università di Pisa
• Lorenzo Liverani. FAU MoD | DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg

 

This event @LinkedIn

 
You might like:
• MLPDES25, 1st. Edition of the Machine Learning and PDEs Workshop (2025)
• Upcoming events
• FAU MoD Lectures
• FAU MoD Courses & Workshops

  
Last update: 23.03.2026
 
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