BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//WordPress - MECv7.32.0//EN
X-ORIGINAL-URL:https://mod.fau.eu/
X-WR-CALNAME:FAU MoD
X-WR-CALDESC:FAU Research Center for Mathematics of Data
X-WR-TIMEZONE:Europe/Berlin
BEGIN:VTIMEZONE
TZID:Europe/Berlin
X-LIC-LOCATION:Europe/Berlin
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T030000
RRULE:FREQ=YEARLY;BYMONTH=03;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=4SU
END:STANDARD
END:VTIMEZONE
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-PUBLISHED-TTL:PT1H
X-MS-OLK-FORCEINSPECTOROPEN:TRUE
BEGIN:VEVENT
CLASS:PUBLIC
UID:MEC-143758ee65fb29d30caa170c0db0ed36@mod.fau.eu
DTSTART;TZID=Europe/Berlin:20241007T090000
DTEND;TZID=Europe/Berlin:20241010T170000
DTSTAMP:20240301T180157Z
CREATED:20240301
LAST-MODIFIED:20241018
PRIORITY:5
SEQUENCE:6
TRANSP:OPAQUE
SUMMARY:CIN-PDE 2024 Conference on Control, Inversion and Numerics for PDEs
DESCRIPTION:Event: CIN-PDE 2024. Conference on Control, Inversion and Numerics for PDEs.\nDate: Mon.-Thu. October 7 – 10, 2024\nNext October, the Fudan University is hosting the 2nd. edition of the CIN-PDE 2024: Conference on Control, Inversion and Numerics for PDEs (CIN-PDE 2024) in collaboration with our our FAU MoD, Research Center for Mathematics of Data at FAU Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) and the Sichuan University (China), as part of the Sino-German cooperation CIN-PDE project ( https://mod.fau.eu/cin-pde/ ) (M-0548, 2022-2025). This project focuses on advancing research in control, inverse problems, and numerical theory of partial differential equations (PDEs).\nCIN-PDE 2024 aims to share new mathematical tools and methods for systems governed by PDEs, particularly in areas such as dynamics, control, stabilization, data uncertainty, optimal control, and inverse problems, all of which are crucial to real-world applications. It will also foster in-depth collaboration between Fudan University and FAU in applied mathematical problems related to PDE analysis, enhancing the partnership within the Sino-German Mobility Program.\nThis event serves as a meeting point for junior and senior researchers from Germany and China, providing a unique opportunity to build new collaborations. Participants will explore a wide range of topics, including mathematical foundations of deep learning, non-locality in inverse problems, control problem solutions, numerical solutions, quantum computing for PDEs, and optimal control strategies. The latest research, core technologies, and theoretical advancements in control, inverse problems, and numerical theory related to PDEs will be discussed.\nSpeakers\n• Jin Cheng. Fudan University\nLecture: “Runge Approximation and Learning based Numerical Methods for Lame Equations”\n• Weinan E. Peking University\nLecture: “Towards an understanding of the fundamental principles behind deep learning”\n• Shi Jin. Shanghai Jiao Tong University\nLecture: “Dimension liftings for quantum computation of partial differential equations and related problems”\n• Günter Leugering & Yue Wang. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg\nLecture: “Exact Boundary Controllability of a Timoshenko Beam”\n• Qianxiao Li. National University of Singapore\nLecture: “Learning approximation and control”\n• Yuehong Qian. Soochow University\nLecture: “Alternative Approach to Solving some Special PDEs”\n• Shanjian Tang. Fudan University\nLecture: “Viscosity solution of second-order path-dependent HJB equation in Hilbert spaces”\n• Gunther Uhlmann. University of Washington\nLecture: “Inverse Problems in Anisotropic Media”\n• Zhiqiang Wang. Fudan University\nLecture: “Stabilization of 1-D wave equation with rational time delays”\n• Pengfei Yao. Institute of Mathematics and Systems Science, CAS\nLecture: “Geometrical Rigidity of Elastic Shells”\n• Xiaoming Yuan. University of Hong Kong\nLecture: “Revisiting First-order Algorithms for Optimization Problems in Industry”\n• Jian Zhai. Beijing Institute of Technology\nLecture: “Inverting the Local Transverse and Mixed Ray Transforms”\n• Qiong Zhang. Beijing Institute of Technology\nLecture: “Stability analysis of an abstract system with local damping”\n• Ran Zhang. Jilin University\nLecture: “The weak Galerkin finite element method for elliptic eigenvalue problems”\n• Shuangjian Zhang. Fudan University\nLecture: “Characterization of the Monopolist’s Profit-Maximization Problem as a Free-Boundary Problem”\n• Xu Zhang. Fudan University\nLecture: “PDE Approach in Infinite-Dimensional Complex Analysis”\n• Enrique Zuazua. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg\nLecture: “Data Representation by Neural Networks: A control perspective”\nPoster of the event\nSchedule / Program\nCIN-PDE 2024 Schedule | CIN-PDE 2024 Program\nPosters session\n• Clustering in Pure-attention Hardmax Transformers and Its Role in Sentiment Analysis\nAlbert Alcalde, Giovanni Fantuzzi, Enrique Zuazua\nSee poster\n• Controllability of Neural Odes for Classification\nAntonio Álvarez-lópez, Enrique Zuazua\nSee poster\n• Optimal Shape Design and Placement of Sensors via a Geometric Approach\nIlias Ftouhi, Enrique Zuazua\nSee poster\n• Hybrid Parabolic-hyperbolic Effect for Heat Equations With Memory\nGengsheng Wang, Yubiao Zhang, Enrique Zuazua\nSee poster\n• Controllability to Systems of Quasilinear Wave Equations With Fewer Controls\nLong Hu, Peng Qu, Jiaxin Tong\nSee poster\n• Nodal Control and the Turnpike Phenomenon\nMartin Gugat, Rüdiger Schultz, Michael Schuster\nSee poster\n• Multilayer Perceptrons: Multiclassification and Universal Approximation\nMartín Hernández, Enrique Zuazua\nSee poster\n• Global Entropy Solutions to Isentropic Gas Flows in General Nozzles\nPeng Qu, Jiahui Wang, Zhouping Xin\nSee poster\n• Non-uniqueness for the Compressible Euler-maxwell Equations\nShunkai Mao, Peng Qu\nSee poster\n• Stability Analysis of Steady Transonic Flows With an External Force in a Three-dimensional Straight\nShangkun Weng, Zihao Zhang, Yan Zhou\nSee poster\n• Fedadmm-insa: an Inexact and Self-adaptive Admm for Federated Learning\nYongcun Song, Ziqi Wang, Enrique Zuazua\nSee poster\nWHEN\nMon.-Thu. October 7 – 10, 2024\nWHERE\nFudan University, Handan Road 220, Shanghai.\nGuanghua East-Main-Building 2201 (22nd Floor).\nLocation @GoogleMaps: Yangpu District, Shanghai, China, 200437.\n会场： 复旦大学光华楼东主楼22楼 2201室，\n复旦大学邯郸校区，邯郸路22号，上海。\nOrganizers\n• Yue Wang. FAU DCN-AvH / FAU MoD, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)\n• Peng Qu. Fudan University (Shanghai, China)\n• Qi Lü. Sichuan University (China)\nScientific Committee\n• Enrique Zuazua. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)\n• Günter Leugering. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)\n• Tatsien Li. Fudan University (China)\n• Zhen Lei. Fudan University (China)\n \nYou might like\n• CIN-PDE 2023. 1st. Edition of the Workshop on Control, Inversion and Numerics for PDEs\n• CIN-PDE Project. Control, inversion and numerics for Partial Differential Equations\n \n_\nDon’t miss out our last news and connect with us!\n• FAU DCN-AvH: LinkedIn | X (Twitter) | Instagram\n• FAU MoD: LinkedIn | X (Twitter) | Instagram\n
URL:https://mod.fau.eu/events/cin-pde-2024/
ORGANIZER;CN=FUDAN University:MAILTO:
CATEGORIES:FAU MoD Workshop,Seminar/Talk,Workshop
ATTACH;FMTTYPE=image/png:https://mod.fau.eu/wp-content/uploads/FAUMoD_DCNAvH_FudanU_SichuanU_CINPD2024_img.png
END:VEVENT
END:VCALENDAR