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Recording date 2024-06-12

Via

Free

Language

English

Organisational Unit

FAU Research Center for Mathematics of Data (FAU MoD)

Producer

FAU Research Center for Mathematics of Data (FAU MoD)

Carlos Conca. University of Chile (Chile)
Lecture: A multiscale inverse problem approached via homogenization: A numerical method

Date: June 12, 2024

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Event: "Trends in Mathematical Sciences" conference (1st. edition)

Date: Mon.-Fri. June 10 – 14, 2024

Location: Erlangen – Bavaria, Germany

https://mod.fau.eu/events/trends-in-mathematical-sciences/

Host: FAU MoD, Research Center for Mathematics of Data at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg

Hybrid mode (On-site / Online)

 

Support:

• FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship

• Alexander von Humboldt Stiftung (Humboldt Foundation)

• São Paulo Research Foundation

 

Opening by Prof. Joachim Hornegger. President of FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg / Lecture: On the role of Mathematics for AI at FAU.

 

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SPEAKERS

Joachim Hornegger, Friedrich-Alexander-Universität Erlangen-Nürnberg

Fernanda Andrade da Silva, University of São Paulo

Maria Soledad Aronna, Getulio Vargas Foundation

Octavio Arizmendi Echegaray, CIMAT, Centro de Investigación en Matemáticas

Carlos Conca, University of Chile

Everaldo de Mello Bonotto, University of São Paulo

Joaquim Escher, Leibniz University Hannover

Jaqueline Godoy Mesquita, University of Brasília

Matthias Hieber, Technical University of Darmstadt

Ansgar Jüngel, Vienna University of Technology

Ludmil Katzarkov, University of Miami

Carlile Lavor, University of Campinas

Günter Leugering, FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg / FAU MoD, Research Center for Mathematics of Data

Frauke Liers, FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg / FAU MoD, Research Center for Mathematics of Data

Juan Límaco, Universidade Federal Fluminense

Alexander Martin, Technical University of Nürnberg

Wladimir Neves, Federal University of Rio de Janeiro

Juan Pablo Ortega, Nanyang Technological University

Diego Samuel Rodrigues, UNICAMP

Hermann Schulz-Baldes, FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg

Yongcun Song, FAU DCN-AvH Friedrich-Alexander-Universität Erlangen-Nürnberg

Angela Stevens, University of Münster

Marius Tucsnak, University of Bordeaux

Karsten Urban, Ulm University

Yue Wang, FAU MoD, Research Center for Mathematics of Data and FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship. Friedrich-Alexander-Universität Erlangen-Nürnberg

Jorge Zubelli, Khalifa University, Abu Dhabi

 

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SCIENTIFIC COMMITTEE

Enrique Zuazua. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)

Jaqueline Godoy Mesquita. University of Brasília. President of the Brazilian Mathematical Society (Brazil)

Yue Wang. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)

Everaldo de Mello Bonotto. Coordinator from the University of São Paulo (Brazil)

 

ORGANIZING COMMITTEE

Sebastián Zamorano Aliaga. University of Santiago of Chile. Humboldt Fellow (Chile)

Duván Cardona. FWO, Research Foundation – Flanders, Ghent University (Belgium)

Magaly Roldán Plumey. BAYLAT (Germany)

Darlis Bracho Tudares. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)

 

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SEE MORE: 

https://mod.fau.eu/events/trends-in-mathematical-sciences/

 

#FAU #FAUMoD #movingKnowledge #trendsInMaths #trendsInMaths2024 #mathematics #erlangen #bavaria #germany #deutschland #brasil #brazil #USA #chile #mexico #emirates #science #students #postdoc #research #trending #ai #dynamics #PDE #computing #controllability #optimization #control

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