#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
FAU MoD
@faumod.bsky.social
Research Center for Mathematics of Data at @fau.de • Mathematics to empower Data
#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
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
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
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
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
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
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... ...
🔛 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
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
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
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
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
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.
fau.de
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! 🛩️
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
Recent Trends in Applied Mathematics and Machine Learning #FAU #JLU #onsite #online #workshop
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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...
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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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
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
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
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
#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
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
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
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
Registration OPEN🚀
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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...
#MLPDES25 spot • Machine Learning and PDEs Workshop (Erlangen)
YouTube video by FAU MoD, Research Center for Mathematics of Data
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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
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...
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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