Next June 10 – 14, 2024, our FAU MoD, Researcher Center for Mathematics of Data at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg is hosting the first “Trends in Mathematical Sciences” conference thanks to the support of our FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship and the Alexander von Humboldt Stiftung (Humboldt Foundation) in hybrid mode (on-site/online) in Erlangen – Bavaria, Germany.
The Trends in Mathematical Sciences’ primary objective is to establish a collaborative platform for researchers from Latin America and Europe, fostering networks and strengthening scientific and technological cooperation in mathematical sciences. Emphasizing optimization, control and inverse problems, data science, and applied mathematics, the event aims to explore contemporary challenges and emerging applications within these domains.
The event has two main goals:
– To provide a platform for in-depth exploration of mathematical sciences, encouraging interdisciplinary collaboration and highlighting diverse theoretical foundations and transformative applications.
– To gather leading researchers in applied mathematics, presenting the state of the art and exploring future horizons within the discipline.
The multidisciplinary nature of the conference will address various applied topics, including population dynamics, material homogenization, stochastic differential equations, random growth models, computational fluid mechanics, optimization, and the application of artificial intelligence in mathematical modeling. Thus, the range of topics to be addressed is wide and this is evident in the people who are confirmed to participate in the conference. These are just a few glimpses into the diverse facets of mathematical sciences that will be explored at this congress.
REGISTRATION
Registration is free but mandatory. Please fill out the following form:
Registration form link
*After the event, an attendance certificate will be sent by email (Non-academic credits).
SPEAKERS
• Maria Soledad Aronna. School of Applied Mathematics, Getulio Vargas Foundation, Rio de Janeiro (Brazil)
Lecture: Control of disease dynamics
• Octavio Arizmendi Echegaray. Centro de Investigación en Matemáticas, A.C. (Mexico)
Lecture: Spectral Deconvolution of Random Matrices via Free Probability
• Carlos Conca. University of Chile (Chile)
Lecture: A multiscale inverse problem approached via homogenization: A numerical method
• Alicia Dickenstein. University of Buenos Aires (Argentina)
Lecture: Multistationarity questions in reduced vs extended biochemical networks
• Joachim Escher. Vice-president of Leibniz University and President of the DMV, German Mathematical Society (Germany)
Lecture: The Rayleigh–Taylor Condition for the Muskat Problem
• Matthias Hieber. Technical University of Darmstadt (Germany)
Lecture: Analysis of Geophysical Flows
• Joachim Hornegger. President of FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)
Lecture: On the role of Mathematics for AI at FAU
• Ansgar Jüngel. Institute of Analysis and Scientific Computing, Vienna University of Technology (Austria)
Lecture: Memristor drift-diffusion systems for brain-inspired neuromorphic computing
• Ludmil Katzarkov. University of Miami (USA)
Lecture: Atoms, electrons and birational invariants
• Günter Leugering. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)
Lecture: Domain decomposition for space-time fractional optimal control problems on metric graphs
• Frauke Liers. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)
Lecture: Trends in Optimization under Uncertainty
• Juan Límaco. UFF, Federal Fluminense University (Brazil)
Lecture: Controllability of the N-dimensional Ladyzhenskaya-Boussinesq model
• Alexander Martin. Vice-President Research, Innovation and Entrepreneurship, Technical University of Nürnberg (Germany)
Lecture: Mixed Integer Optimization Problems on Networks with PDE Constraints
• Wladimir Neves. Federal University of Rio de Janeiro (Brazil)
Lecture: The Hele-Shaw free boundary limit of Buckley-Leverett System
• Juan Pablo Ortega. School of Physical and Mathematical Sciences, Nanyang Technological University (Singapore)
Lecture: Reservoir computing: a game changer in the construction of dynamic digital twins
• Hermann Schulz-Baldes. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)
Lecture: Mathematics for topological materials
• Angela Stevens. Institute for Applied Mathematics: Analysis and Numerics, University of Münster, (Germany)
Lecture: A view on the ‘physics’ of Covid-19 through data and invariants of kinetic equations
• Marius Tucsnak. Bordeaux Institute of Mathematics, University of Bordeaux (France).
Lecture: Frequency dependent Hautus conditions and perturbations for dispersive systems
• Karsten Urban. Institute of Numerical Mathematics, Ulm University (Germany).
Lecture: Model reduction of parametric PDEs – Advances, trends, and challenges
• Yue Wang. FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship. Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany).
Lecture: Networked Hyperbolic Systems: Modeling, Control and Efficient Simulation
• Jorge Zubelli. Mathematics Department, Khalifa University, Abu Dhabi (United Arab Emirates)
Lecture: Local Volatility Estimation in the Presence of Jumps
See the poster of the conference
AUDIENCE
This event is open to: Public, Students, Postdocs, Professors, Faculty, Alumni
PROGRAM
The event revolves around two primary types of activities:
• Plenary lectures: Two to three per day, featuring distinguished experts who will provide an up-to-date view of their respective fields, pose open questions and outline future lines of research.
• Thematic sessions: Tailored to smaller groups with common interests, these informal sessions provide a platform for numerous participants to present their work and foster collaborative dynamics.
Schedule of the conference
*Last update: March 10, 2024
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)
• Paulo José da Silva e Silva. Mentor from the Department of Applied Mathematics of IMECC/Unicamp (Brazil)
• José Alberto Cuminato. Mentor from the University of São Paulo (Brazil)
WHEN
Mon. – Fri. June 10 – 14, 2024 • 09:00H
WHERE
On-site / Online
[On-site] Universitätsstraße 15, 91054 Erlangen (Germany):• June 10, 11, 13, 14: KH 1.011 Senatssaal (Senate Hall) im Kollegienhaus
• June 12: KH 2.019 – Hörsaal Kollegienhaus [Online] TBA.
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