FAU MoD • Trends in Mathematical Sciences 2024 /KursID:3936
- Letzter Beitrag vom 2024-06-14
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Schlüsselworte: Erlangen FAU Research Europa international research conference mathematics World Applied Mathematics FAU MoD movingKnowledge Latinamerica trends Bavaria

Lehrende(r)

Darlis Bracho Tudares

Einrichtung

FAU Research Center for Mathematics of Data (FAU MoD)

Aufzeichnungsart

Kongress

Sprache

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

 

Zugehörige Einzelbeiträge

Folge
Titel
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Non-overlapping domain decomposition for time-fractional optimal control problems on networks
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A general theory of norm and time optimal control problems for linear PDE systems
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Model reduction of parametric PDEs -Advances, trends, and challenges
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Memristor drift-diffusion systems for brain-inspired neuromorphic computing
Prof. Dr. Ansgar Jüngel
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A multiscale inverse problem approached via homogenization
Dr. Carlos Conca
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00:41:58
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Local Volatility Estimation in the Presence of Jumps
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Structure-Preserving Learning of Hamiltonian Systems
Prof. Juan-Pablo Ortega
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20
Neutral functional differential equations with state-dependent delays and applications
Prof. Jaqueline Godoy Mesquita
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Controllability of the N-dimensional Ladyzhenskaya-Boussinesq model
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New birational invariants
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Impulsive evolution processes: abstract results and an application to a coupled wave equations
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Accessing the Pharmacokinetics of Magnetic Nanoparticles in Cirrhosis-Associated Hepatocarcinogenesis by Ordinary Differential Equation Modeling and AC Biosusceptometry
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