News and Resources

Browse all posts in the News and Resources category.

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28MAY 2026
FAUMoD Lecture Series
FAU MoD Lecture: Reverse typography and the theory of shape: Can old books be brought back to life?
Date: Fri. June 19, 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: Reverse typography and the theory of shape: Can old books be brought back to life? Speaker: Prof. Dr. Jean‑Michel Morel Affiliation: Division of Industrial Data Science. School of […]
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05MAY 2026
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EZ 65: Control, PDEs and Machine Learning
Date: Mon.- Thu. June 08 – 11, 2026 Event: A conference in honour of Enrique Zuazua on the occasion of his 65th birthday Title: EZ 65: Control, PDEs and Machine Learning We are pleased to announce the conference “Control, PDEs and Machine Learning”, to be held at the University of Deusto in Bilbao from 8 […]
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01APR 2026
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Benasque XI Workshop-Summer School 2026: Partial differential equations, optimal design and numerics
Event: Benasque XI Workshop-Summer School 2026: XI Partial Differential Equations, Optimization, Numerics, and Machine Learning Date: Sun.-Fri. August 23 – September 04, 2026 Event type: On-site (Benasque) Registration: https://benasque.org/2026pde/cgi-bin/appl.pl Deadline for applications: Wed. June 10, 2026 Next Summer, on August 23 – September 04, 2026 will be held the XI Partial Differential Equations, Optimization, Numerics, […]Event: Benasque XI Workshop-Summer School 2026: XI Partial Differential Equations, Optimization, Numerics, and Machine Learning Date: Sun.-Fri. August 23 – September 04, 2026 Event type: On-site (Benasque) Registration: https://benasque.org/2026pde/cgi-bin/appl.pl Deadline for applications: Wed. June 10, 2026 Next Summer, on August 23 – September 04, 2026 will be held the XI Partial Differential Equations, Optimization, Numerics, […]
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31MAR 2026
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MLPDES26, Machine Learning and PDEs Workshop (2026)
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) #MLPDES26 Book of Abstracts *Recordings available at: https://mod.fau.eu/mlpdes26/ This Spring, our FAU MoD, Research Center for Mathematics of Data is […]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) #MLPDES26 Book of Abstracts *Recordings available at: https://mod.fau.eu/mlpdes26/ This Spring, our FAU MoD, Research Center for Mathematics of Data is […]
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26FEB 2026
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Science and (international) politics
On May 18 and May 22, 2026 the Chair for Sinology with a focus on the Intellectual and Cultural History of China (Alexander von Humboldt Professorship) led by our FAU MoD member Prof. Dr. Dr. Andrea Bréard at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg is hosting: Wissenschaft und (internationale) Politik Event (Session 1/2): Science and (international) politics Organizer: […]
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26FEB 2026
FAUMoD Lecture Series
FAU MoD Lecture: Breaking Nonconvexity: Consensus-Based Optimization
Date: Mon. May 11, 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: Breaking Nonconvexity: Consensus-Based Optimization Speaker: Prof. Dr. Massimo Fornasier Affiliation: Department of Mathematics. Technical University of Munich (Germany) Abstract. Nonconvex and nonsmooth optimization problems are ubiquitous across science […]Date: Mon. May 11, 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: Breaking Nonconvexity: Consensus-Based Optimization Speaker: Prof. Dr. Massimo Fornasier Affiliation: Department of Mathematics. Technical University of Munich (Germany) Abstract. Nonconvex and nonsmooth optimization problems are ubiquitous across science […]
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