The [ML-DE] Workshop on “Machine Learning Meets Differential Equations: From Theory to Applications” is organized by a group of distinguished researchers dedicated to exploring the synergies between machine learning and differential equations.

Cecília Coelho

HSU-AI – Institute for Artificial Intelligence, Helmut-Schmidt-University, Germany
Centre of Mathematics, University of Minho, Portugal
Email: cecilia.coelho@hsu-hh.de
Cecília Coelho holds a PhD in Mathematics. Her research centers on Neural Fractional Differential Equations (NFDEs), combining differential equations and neural networks to improve the modeling of real-world systems—especially those exhibiting complex, non-integer-order dynamics. She is particularly interested in integrating expert knowledge into neural architectures and advancing hybrid modeling approaches for applications across various domains.

Bernd Zimmering

HSU-AI – Institute for Artificial Intelligence, Helmut-Schmidt-University, Germany
Email: bernd.zimmering@hsu-hh.de
Bernd’s PhD research is dedicated to leveraging neural Ordinary Differential Equations (ODEs) for improving cyber-physical systems. His work explores sophisticated time-continuous algorithms and their practical applications.

Luís Ferrás

Department of Mechanical Engineering, University of Porto, Portugal
Email: lferras@fe.up.pt
An Assistant Professor and researcher, Luís specializes in numerical analysis, applied mathematics, and the intersection with machine learning. He has a strong track record of organizing international workshops and conferences aimed at advancing research in these areas.

Fernanda Costa

Centre of Mathematics, University of Minho, Portugal
Email: mfc@math.uminho.pt
As an Associate Professor, Fernanda’s research focuses on optimization, machine learning techniques, and their applications in mathematical modeling and applied mathematics. She has been instrumental in organizing events that bridge these disciplines.

Oliver Niggemann

HSU-AI – Institute for Artificial Intelligence, Helmut-Schmidt-University, Germany
Email: oliver.niggemann@hsu-hh.de
Oliver, a Full Professor, focuses on the application of AI and machine learning in cyber-physical systems. His research aims to enhance system performance and reliability through innovative computational approaches.

The organizing team brings together a wealth of experience in both theoretical and applied aspects of machine learning and differential equations, ensuring a comprehensive and insightful workshop.