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X-WR-CALNAME:FAU MoD
X-WR-CALDESC:FAU Research Center for Mathematics of Data
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DTSTART;TZID=Europe/Berlin:20250725T090000
DTEND;TZID=Europe/Berlin:20250727T170000
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CREATED:20250702
LAST-MODIFIED:20250724
PRIORITY:5
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SUMMARY:Workshop on Recent Trends in Applied Mathematics and Machine Learning 2025
DESCRIPTION:Date: Fri.- Sun. July 25 – 27, 2025\nEvent: Workshop on Recent Trends in Applied Mathematics and Machine Learning 2025\nTitle: Recent Trends in Applied Mathematics and Machine Learning 2025\nThis July, Jilin University will host the Workshop on Recent Trends in Applied Mathematics and Machine Learning 2025, organized in collaboration with our FAU MoD, Research Center for Mathematics of Data and our FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics at FAU Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany). The workshop aims to advance research at the intersection of control theory, scientific computing, partial differential equations (PDEs), and machine learning.\nWatch the spot on YouTube\nServing as a platform for the mathematical community, the workshop seeks to foster engagement with the latest developments in industrial and applied mathematics. By addressing diverse mathematical challenges emerging from economic development and technological progress, the event aspires to catalyze innovative research. A distinctive feature of the conference is its commitment to featuring presentations by globally renowned mathematicians who are at the forefront of industrial and applied mathematics.\nPlenary Speakers\n• Martin J. Gander. University of Geneva\n• Walter Gander. ETH Zürich\n• Qianxiao Li. National University of Singapore\n• Xiaoming Yuan. The University of Hong Kong\n• Xu Zhang. Sichuan Normal University\n• Zhennan Zhou. Westlake University\nInvited Speakers\n• Xiaowu Dai. University of California, Los Angeles\n• Wei Gong. Academy of Mathematics and Systems Science, Chinese Academy of Sciences\n• Zhongjie Han. Tianjin University\n• Ping Lin. Northeast Normal University\n• Kang Liu. Université Bourgogne Europe\n• Xu Liu. Northeast Normal University\n• Qi Lü. Sichuan University\n• Zhiping Rao. Xi’an Jiaotong-Liverpool University\n• Yongcun Song. City University of Hong Kong\n• Yu Wang. Southwest Jiaotong University\n• Ziqi Wang. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)\n• Hehu Xie. Academy of Mathematics and Systems Science, Chinese Academy of Sciences\n• Huaiqiang Yu. Tianjin University\n• Can Zhang. Wuhan University\n• Haisen Zhang. Sichuan Normal University\n• Qiong Zhang. Beijing Institute of Technology\n• Yaoyu Zhang. Shanghai Jiao Tong University\n• Yubiao Zhang. Jilin University\n• Chuang Zheng. Beijing Normal University\n• Yuhua Zhu. University of California, Los Angeles\nWHEN\nFri.- Sun. July 25 – 27, 2025 at 09:00H – 11:00H (local time)\n*Registration: July 24, 2025 (14:00H – 20:00H)\nWHERE\nOn-site / Online\n[On-site] JLU\nJilin University, No. 2699 Qianjin Street, Changchun City, Jilin Province\nZhengxin building, 209 (2th Floor)\n[Online] Zoom: ID: 904 645 6677 |  Password: 2025\nSCHEDULE\nJuly 25, 2025 \n08:00H Opening Ceremony\n08:30H Xu Zhang\n09:30H Qi Lü\n10:30H Break\n10:50H Yaoyu Zhang\n11:35H Kang Liu\n12:20H Lunch\n14:30H Ping Lin\n15:15H Chuang Zheng\n16:00H Break\n16:20H Zhongjie Han\n17:05H Yu Wang\n18:00H Dinner\nJuly 26, 2025 \n08:30H Walter Gander\n09:30H Martin Gander\n10:30H Break\n10:50H Zhennan Zhou\n11:50H Yuhua Zhu\n12:40H Lunch\n14:50H Wei Gong\n15:35H Zhiping Rao\n16:20H Break\n16:40H Xiaowu Dai\n17:30H Dinner\nJuly 27, 2025\n08:30H Xiaoming Yuan\n09:30H Qianxiao Li\n10:30H Break\n10:50H Haisen Zhang\n11:35H Qiong Zhang\n12:30H Lunch\n14:30H Hehu Xie\n15:15H Yongcun Song\n16:00H Break\n16:20H Yubiao Zhang\n17:05H Ziqi Wang\n18:00H Dinner\nScientific Committee\n• Enrique Zuazua. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)\n• Ran Zhang. Jilin University (China)\nOrganizing Committee\n• Ran Zhang. Jilin University\n• Chunpeng Wang. Jilin University\n• Jiwei Jia. Jilin University\n• Ping Lin. Northeast Normal University\n• Xu Liu. Northeast Normal University\n• Yubiao Zhang. Jilin University\n• Yongyi Yu. Jilin University\nThis event @LinkedIn\nSee more: https://amml2025.jlu.edu.cn \nWatch the spot on YouTube\nYou might like:\n• FAU MoD Lectures | FAU MoD Courses & workshops\n• Upcoming events\n• JLU/FAU workshop (Erlangen/Jilin): Workshop on Recent Trends in Applied Mathematics and Machine Learning 2025\n• JLU short-course: PDEs Meet Machine Learning: Integrating Numerics, Control, and Machine Learning by Prof. Dr. Enrique Zuazua\n• FAU MoD Lecture: Exemplary applications of machine learning and optimization in quantum chemistry by Prof. Dr. Andreas Görling\n• FAU MoD Lecture: AI for maths and maths for AI by Dr. François Charton\n• FAU MoD Lecture: Optimization-based control for large-scale and complex systems: When and why does it work? by Prof. Dr. Lars Grüne\n• FAU MoD Lecture: Mathematics of neural stem cells: Linking data and processes by Prof. Dr. Ana Martin-Villalba\n• FAU MoD Lecture: FAU MoD Lecture S. Jin / N. Liu (double session) by Prof. Dr. Shi Jin and Prof. Dr. Nana Liu\n• FAU MoD Lecture: Do you think you understand sex and death? Why predictions about biological processes require more than just intuition by Prof. Dr. Hanna Kokko\n• FAU MoD Lecture: FAU MoD Lecture. Special December 2024 by Prof. Dr. Holger Rauhut and Prof. Dr. Christian Bär\n• FAU MoD Lecture: Measuring productivity and fixedness in lexico-syntactic constructions by Prof. Dr. Stephanie Evert\n• FAU MoD Lecture: New avenues for the interaction of computational mechanics and machine learning by Prof. Dr. Paolo Zunino\n• FAU MoD Lecture: Discovering and Communicating Excellence by Prof. Dr. Ute Klammer\n• FAU MoD Lecture: Thoughts on Machine Learning by Prof. Dr. Rupert Klein\n• FAU MoD Lecture: Using system knowledge for improved sample efficiency in data-driven modeling and control of complex technical systems by Prof. Dr. Sebastian Peitz\n• FAU MoD Lecture: Image Reconstruction – The Dialectic of Modelling and Learning by Prof. Dr. Martin Burger\n• FAU MoD Lecture: The role of Artificial Intelligence in the future of mathematics by Prof. Dr. Amaury Hayat\n• FAU MoD Lecture: FAU MoD Lecture. Special November 2023 by Prof. Dr. Michael Kohlhase and Prof. Dr. Edriss S. Titi\n• FAU MoD Lecture: Free boundary regularity for the obstacle problem by Prof. Dr. Alessio Figalli\n• FAU MoD Lecture: Physics-Based and Data-Driven-Based Algorithms for the Simulation of the Heart Function  by Prof. Dr. Alfio Quarteroni\n• FAU MoD Lecture: From Physics-Informed Machine Learning to Physics-Informed Machine Intelligence: Quo Vadimus?  by Prof. Dr. George Karniadakis\n• FAU MoD Lecture: From Alan Turing to contact geometry: Towards a “Fluid computer” by Prof. Dr. Eva Miranda\n• FAU MoD Lecture:  Applications of AAA Rational Approximation by Prof. Dr. Nick Trefethen\n• FAU MoD Lecture:  Learning-Based Optimization and PDE Control in User-Assignable Finite Time by Prof. Dr. Miroslav Krstic\n_\nDon’t miss out our last news and connect with us!\nLinkedIn | Bluesky | Instagram | YouTube | X (Twitter)\n
URL:https://mod.fau.eu/events/workshop-trends-appliedmath-and-ml-2025/
ORGANIZER;CN=JLU, Jilin University:MAILTO:
CATEGORIES:FAU MoD Workshop,Seminar/Talk,Workshop
LOCATION:Worldwide / Online
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