iiinova — where your digital self keeps evolving

FAU MoD @faumod.bsky.social · 24/06/2026

Our #MLPDES26 workshop is coming to an end. Thank you 🙌 to everyone who joined us! ▪️Book of Abstracts: go.fau.de/1e-h- ▪️Program: go.fau.de/1e-gi ▪️Watch the spot 🎬 YouTube youtu.be/RoxgbG4fsnQ?... Don't miss out 🚀 our last talks today! mod.fau.eu

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darlis ツ @darlisbt.bsky.social · 23/06/2026

#MLPDES26 Day 2/3 🚀 Tue. June 23, 2026 "Machine Learning and PDEs workshop" On-site/Online Erlangen📍 @fau.de @faumod.bsky.social Live-streaming 📽️ www.fau.tv/clip/id/63196 🔗Program, book of abstracts: mod.fau.eu/mlpdes26 #FAU #movingKnowledge #research #mathematik #bavaria @faudcnavh.bsky.social

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FAU MoD @faumod.bsky.social · 22/06/2026

#MLPDES26 Day 1/3 🚀 June 22, 2026 "Machine Learning and PDEs workshop" On-site / Online Erlangen📍 @fau.de Erlangen-Nürnberg Live-streaming link 📽️https://www.fau.tv/clip/id/63196 🔗 Program, book of abstracts, and more: lnkd.in/dEZJ7kAU @faudcnavh.bsky.social #FAU #movingKnowledge #FAUMoD

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darlis ツ @darlisbt.bsky.social · 08/05/2026

You're invited 🤩 11.05.26 #FAUMoDLecture By Prof. Massimo Fornasier #TUMünchen "Breaking Nonconvexity: Consensus-Based Optimization" Live-streaming📍On-site: @fau.de Erlangen - Bavaria, Germany SEE MORE 🔗https://go.fau.de/1dhia

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FAU MoD @faumod.bsky.social · 16/03/2026

SAVE the date 🚀 #FAUMoD lectures at @fau.de 20.04📌 D. Xiu #osu Data Driven Modeling for Scientific Discovery and Digital Twins 04.05📌 M. Gomez #ucsc A data-driven approach to closed-loop control of wound state progression to drive healing outcomes See more: 🔗 mod.fau.eu

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FAU MoD @faumod.bsky.social · 13/02/2026

Upcoming #FAUMoD lecture: Monday February 16, 2026 (12:30H Berlin time) On-site 📍 @fau.de Live-streaming 📽️ fau.tv/clip/id/59621 Modeling and System Identification: Past and Future Directions By Prof. Helon Hultmann Ayala #PUCPR 🔗 go.fau.de/1dhbh #FAU #movingKnowledge

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FAU MoD @faumod.bsky.social · 19/01/2026

...We then turn to more recent approaches based on Scientific Machine Learning, in particular, Physics Informed Machine Learning, which integrates physics-based models with machine learning methods. (...)" SEE MORE 🔗 go.fau.de/1cbhi

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FAU MoD @faumod.bsky.social · 19/01/2026

"In this talk, we discuss digital solutions designed to address industry-relevant problems: We first review several solvers based on established numerical methods that provide reliable foundations for these digital solutions. ...

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FAU MoD @faumod.bsky.social · 19/01/2026

Upcoming 🚀Mon. January 26, 2026 #FAUMoD lecture at @fau.de 📌 On-site | Online "Bridging numerics and scientific machine learning for industrial applications" 🔹Dr. Christopher Straub, Fraunhofer IISB SEE MORE 🔗 go.fau.de/1cbhi @faudcnavh.bsky.social @fauwiso.bsky.social #FAU #movingKnowledge

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FAU MoD @faumod.bsky.social · 19/12/2025

Our best wishes to you & your family, and a fruitful 2026! #ThankYou all for your support along this year, specially to our speakers🙌🏻 #FAUMoDLectures Series for the amazing topics, enriching discussions, and time w/us. 🔗http://mod.fau.eu Merry Xmas & #happynewyear2026💫 Your #FAUMoD at @fau.de

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FAU DCN-AvH @faudcnavh.bsky.social · 21/11/2025

NEW #mathPost at 🚀 #FAUDCNAvH @fau.de Sentiment Analysis with Transformers ▪️Albert Alcalde, PhD student at @faudcnavh.bsky.social Dynamics, Control, Machine Learning and Numerics - AvH ▪️Giovanni Fantuzzi, W1 Professor | Senior Scientist #FAU @faumod.bsky.social 🔗 dcn.nat.fau.eu/ndw25-sentim... ...

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FAU MoD @faumod.bsky.social · 21/11/2025

Check the speakers, program and more details: 🔗 go.fau.de/1ccai #FAU #movingKnowledge #DigitalTwins #workshop #ML #machineLearning

go.fau.de

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FAU MoD @faumod.bsky.social · 21/11/2025

🔛 Our #FAUMoD is delighted to share our joint workshop with the Digital Twin Lab at #GMU: "The Mathematics of Scientific Machine Learning and Digital Twins" November 19 - 25, 2025 📌 On-site See more 🔗 go.fau.de/1ccai Organizers: ▪️Harbir Antil, GMU ▪️Enrique Zuazua @fau.de #FAUMoD #FAUDCNAvH

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Joachim Hornegger @hornegger.bsky.social · 13/10/2025

Welcome to FAU! A new semester, full of possibilities. 40,000 minds — one spirit: curiosity, courage, openness. We cross boundaries and move ideas into action. Be curious. Be brave. Be FAU. Welcome home. #MovingKnowledge

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FAU DCN-AvH @faudcnavh.bsky.social · 14/10/2025

NEW 📢 #NdW25 Lange Nacht der Wissenschaften (Long Night Sciences) 📍 @fau.de Exhibition "Sentimentanalyse mit Transformern in Aktion" 🔸 Giovanni Fantuzzi @faumod.bsky.social 🔸 Albert Alcalde @faudcnavh.bsky.social SEE MORE 🔗 go.fau.de/1cbb- #FAU #movingKnowledge

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FAU MoD @faumod.bsky.social · 11/10/2025

(…) “The discussion starts by reiterating on recent triumphs in weather and climate modeling, making connections to computer vision, physics-informed learning and neural operators. (…)”

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FAU MoD @faumod.bsky.social · 11/10/2025

You’re invited 🚀 Oct. 13, 2025 #FAUMoD lecture: Disruption in science and engineering happens at scale Prof. Johannes Brandstetter, JKU / EmmiAI On-site / Online 📍 @fau.de See more 🔗 go.fau.de/1c-bb

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FAU Erlangen-Nbg @fau.de · 18/08/2025

Im aktuellen Shanghai-Ranking 2025 hat sich die FAU abermals verbessert. Zum Beispiel erobert sie im nationalen Vergleich Rang 17. In der Kategorie „Akademische Pro-Kopf-Leistung einer Einrichtung“ landet sie unter den hundert besten Universitäten weltweit. go.fau.de/1ca-a

fau.de

Shanghai-Ranking 2025: FAU verbessert sich national und international

Im aktuellen Shanghai-Ranking 2025 hat sich die FAU abermals verbessert: Beim internationalen Vergleich kann die Universität vier Plätze gut machen und landet auf Platz 242.

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FAU Erlangen-Nbg @fau.de · 19/08/2025

Bei evolonic entwickeln Studierende sowie Ingenieure und Ingenieurinnen zusammen Drohnen zur Früherkennung von Waldbränden. Im Video stellt evolonic eine solche Drohne vor - und einen Zeppelin gibt es auch! 🛩️

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FAU DCN-AvH @faudcnavh.bsky.social · 24/07/2025

Starting 🔜 🤩July 25 – 27, 2025 Workshop on Recent Trends in Applied Mathematics and Machine Learning #FAUMoD and #FAUDCNAVH at @fau.de in collaboration with #JLU Online📍Onsite: Jilin University Watch the spot 🎬 youtube.com/shorts/dXNZT... @faumod.bsky.social

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Recent Trends in Applied Mathematics and Machine Learning #FAU #JLU #onsite #online #workshop

YouTube video by FAU MoD, Research Center for Mathematics of Data

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FAU DCN-AvH @faudcnavh.bsky.social · 20/07/2025

Just few hours away 🤩 July 21-23, 2025 Short course 🔸 Prof. Enrique Zuazua Iriondo @fau.de : "PDEs Meet Machine Learning: Integrating Numerics, Control, and Machine Learning" Online: Zoom 📍 On-site host: Jilin University 🔗 go.fau.de/1c-ba #FAU #movingKnowledge 🎬 YouTube youtube.com/shorts/0yL5b...

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July 21-23, 2025: Course by Prof. Zuazua @Unifau PDEs meet Machine Learning #maths #pde #research

YouTube video by FAU Chair Dynamics, Control, Machine Learning...

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FAU DCN-AvH @faudcnavh.bsky.social · 18/07/2025

NEW 📣publication at our #FAUCRIS: Moments, time-inversion and source identification for the heat equation 🔸 Kang Liu, Université Bourgogne Europe 🔸 Enrique Zuazua Iriondo, @fau.de @faumod.bsky.social 🔗 cris.fau.de/publications... #FAU #FAUDCNAvH #FAUMoD #research #movingKnowledge #mathematik

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FAU MoD @faumod.bsky.social · 07/07/2025

TODAY📢 #FAUMoD lecture Mon. July 7, 2025 📌 On-site / Online Exemplary applications of machine learning and optimization in quantum chemistry 🔹Prof. Dr. Andreas Görling @fau.de See more: go.fau.de/1bidf @faumod.bsky.social #FAU #FAUMoD #movingKnowledge #erlangen #online

FAU MoD Lecture @07.07.2025
Exemplary applications of machine learning and optimization in quantum chemistry
www.mod.fau.eu

On-site / Online

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FAU MoD @faumod.bsky.social · 02/06/2025

...In this talk we explain the basic functioning of both methods and then present situations in which the methods provably work well, by identifying beneficial structures of the solutions of optimal control problems (...)" 🔗https://go.fau.de/1bddc #FAU #movingKnowledge #FAUMoD #mathematik #maths

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FAU MoD @faumod.bsky.social · 02/06/2025

...where the objective of the optimization may range from stabilization of a set-point to energy efficiency to yield maximization.(...)

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FAU MoD @faumod.bsky.social · 02/06/2025

"Model Predictive Control #MPC and Reinforcement Learning #RL are two of the most prominent methods for computing control laws based on optimization. In both cases, the resulting controllers approximate infinite-horizon optimal controllers, ....

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FAU MoD @faumod.bsky.social · 02/06/2025

Tomorrow #FAUMoD lecture at @fau.de Tue. June 3, 2025 📌On-site/Online Optimization-based control for large-scale and complex systems: When and why does it work? 🔹Prof. Lars Grüne @unibayreuth.bsky.social SEE more: go.fau.de/1bddc

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FAU MoD @faumod.bsky.social · 06/05/2025

Upcoming #FAUMoDLecture 🚀 at @fau.de : Wed. May 7, 2025 📌 16:00H On-site / Online Mathematics of neural stem cells: Linking data and processes 🔹Prof. Dr. Ana Martin-Villalba #DKFZ German Cancer Research Center go.fau.de/1beie #FAU #movingKnowledge #FAUMoD #mathematik #mathematics #research

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FAU DCN-AvH @faudcnavh.bsky.social · 29/04/2025

#MLPDES25 Day 2 🔛 Onsite📍@fau.de Live-streaming🔗 go.fau.de/1begh 🚀Our speakers gabrielpeyre.bsky.social @cnrs.fr ENS-PSL G. Orlando #Poliba A. Coclite #Poliba B. Geshkovski #Inria @sorbonne-universite.fr D. Ruiz-Balet @univdauphine.bsky.social A. Porretta #UniRoma2 Y. Zhang #SJTU G. Leugering #FAU

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darlis ツ @darlisbt.bsky.social · 28/04/2025

Our #MLPDES25 workshop at @fau.de 🤩is here!! Machine Learning & PDEs Workshop Join us on-site (#FAU Erlangen) or online: On-site📍@faumod.bsky.social Live📽️ www.fau.tv/fau-mod-live... A huge THANK YOU to our amazing speakers, sponsors & committees for this amazing event 🙌🏻 @faudcnavh.bsky.social

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FAU DCN-AvH @faudcnavh.bsky.social · 20/03/2025

NEW article 📢 published at Advances in Engineering (AIE): "The hidden challenge in heat equation control: Slow decay of gramian eigenvalues" Prof. Enrique Zuazua @fau.de Prof. Martin Lazar, University of Dubrovnik See more 🔗 go.fau.de/1bghf #FAU #movingKnowledge #FAUDCNAvH #eigenvalues #research

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FAU DCN-AvH @faudcnavh.bsky.social · 04/02/2025

Registration OPEN 🚀Course (M18) #EECIschool2025 June 30 - July 4, 2025 "Control and Machine Learning" youtube.com/shorts/mUgQ0... 🔸Prof. Enrique Zuazua @fau.de 🔸Prof. Martin Lazar, University of Dubrovnik, Croatia dcn.nat.fau.eu/events/eeci-... #FAU #M18 #Dubrovnik #movingKnowledge

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Registration OPEN🚀

YouTube video by FAU Chair Dynamics, Control, Machine Learning...

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FAU MoD @faumod.bsky.social · 31/01/2025

The #MLPDES25 workshop is an international event that brings together international researchers to explore the deepening connection between Machine Learning and Partial Differential Equations #FAU #FAUMoD #movingKnowledge #Erlangen #Bavaria #Germany #Science #Research #workshop #NN #neuralNetworks

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FAU MoD @faumod.bsky.social · 31/01/2025

SAVE the date 📌 April 28 - 30, 2025 #MLPDES25 Machine Learning and PDEs Workshop Host: @faumod.bsky.social Research Center for Mathematics of Data @fau.de📍Erlangen On-site • Online Registration is free, but mandatory 🔗SEE MORE: mod.fau.eu/events/mlpde... 🎬Spot: www.youtube.com/shorts/G5qmW...

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#MLPDES25 spot • Machine Learning and PDEs Workshop (Erlangen)

YouTube video by FAU MoD, Research Center for Mathematics of Data

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FAU MoD @faumod.bsky.social · 31/01/2025

You're invited 📢 NHR PerfLab Seminar Tue. February 4, 2025 📌14:00H By Prof. Dr. Ulrich Rüde, member at our @faumod.bsky.social Research Center for Mathematics of Data On-site: @fau.de Erlangen Online: Zoom See more: mod.fau.eu/events/effic... #FAU #FAUMoD

NHR PerfLab Seminar
Efficient Solvers for Partial Differential Equations
Speaker: Prof. Dr. Ulrich Rüde
Tue. February 4, 2025 at 14:00H
On-site (FAU) / Online (Zoom)
https://mod.fau.eu/events

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FAU MoD @faumod.bsky.social · 28/01/2025

Join us today 📢 13:00H (Berlin time) #FAUMoDLecture By Prof. Hanna Kokko, iomE - Johannes Gutenberg Universität Mainz On-site: H17 @fau.de 🚀 @faumod 🎥Live-streaming: www.fau.tv/fau-mod-live... #FAU #movingKnowledge youtube.com/shorts/uQ_Xp...

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Jan 28, 2025 #FAUMoDLecture Prof. Hanna Kokko, imoE #faumod #fau #movingKnowledge #mathematics

YouTube video by FAU MoD, Research Center for Mathematics of Data

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