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X-WR-CALDESC:DeustoCCM - Chair of Computational Mathematics at University of Deusto
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DTSTART:20250630T060000Z
DTEND:20250704T160000Z
DTSTAMP:20251031T212600Z
CREATED:20251031
LAST-MODIFIED:20251031
PRIORITY:5
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SUMMARY:EECI-IGSC 2025 (M18): Control and Machine Learning
DESCRIPTION:Date: June 30 to July 4, 2025\nEvent: IEECI-IGSC 2025: International Graduate School on Control 2025\nModule Control and Machine Learning (M18 DUBROVNIK)\nSpeakers:\n• Prof. Enrique Zuazua ( http://dcn.nat.fau.eu/zuazua/ ). FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg\n• Prof. Martin Lazar. University of Dubrovnik\nOutline\n• Historical preliminaries\n• Control of linear finite-dimensional systems\n• The universal approximation theorem\n• Control formulation of supervised learning\n• Simultaeneous controllability of neural differential equations\n• Width versus depth\n• Introduction to unsupervised learning\n• Introduction to federated learning\n• ML in control of parameter dependent systems\n• Turnpike, control and ML\n• Introduction to Physics-Informed Neural Networks (PINNs)\n• Solving differential equations by PINNs\nWatch the spot of this course @YouTube\nWHEN\nModule M18 (Prof. Zuazua & Prof. Lazar): June 30 to July 4, 2025.\nTime table: Everyday 09:00H – 17:30H (except, Monday starting at 13:30H)\nPlease check the time-table at EECI-IGSC\n\nEECI-IGSC 2025 program/summary of modules\nThe entire program is about 18 modules from January 27 to July 4, 2025.\nThis program is organized by EECI every year with independent modules of different topics about network and control. Every module is 3 ECTS, 21 hours/week and is eligible for Master degrees credits (second year) and Scientific thesis modules.\nWHERE\nUniversity of Dubrovnik. Dubrovnik, Croatia\nSee more: https://www.unidu.hr/eng/\nDubrovnik campus accommodation\nTake a look the official site ( http://www.eeci-igsc.eu/ ) || Venue\nAttending this event\nEarly registration (M18) has been extended until April 15, 2025\nDeadline for registration: April 15, 2025\nA registration and an admin-fee might be required to confirm your registration.\nhttps://eeciigsc.web-events.fr/registration/\nContact: admin-eeci@centralesupelec.fr\nPlease check the official site ( http://www.eeci-igsc.eu/ ) for the announcements and more information.\n_\nThis Summer, from June 30 to July 4, 2025, Prof. Enrique Zuazua ( http://dcn.nat.fau.eu/zuazua/ ) (FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg) joint with Prof. Martin Lazar (University of Dubrovnik) will give the M18 DUBROVNIK module on “Control and Machine Learning” at the IEECI-IGSC 2025: International Graduate School on Control 2025 organized by EECI – European Embedded Control Institute and IEEE CSS and IFAC – International Federation of Automatic Control.\nModule M18 DUBROVNIK: Control and Machine Learning\nProf. Enrique Zuazua, FAU. Friedrich-Alexander-Universität Erlangen-Nürnberg\nProf. Martin Lazar, University of Dubrovnik.\nAbstract. Control is a classical field in the intersection of Applied Mathematics and Engineering, arising in most applications to other sciences, industry and new technologies. Nowadays the field of Control experiences a revival due to its strong links with the broad and dynamic field of Machine Learning (ML). On the one hand, classical mathematical and computational methods developed in Control are complemented with new techniques emanating from ML, thus improving their performance. On the other hand, the, sometimes amazing, efficiency of the computational methods developed in ML, e.g. in Supervised and Reinforcement Learning, is not yet well understood analytically. And the knowledge accumulated over decades in the area of Control provides powerful tools to gain understanding.\nThis course is aimed to introduce some of the fundamental tools in control theory and machine learning and their computational counterparts, showing how they can be combined and employed to address applications efficiently, in an holistic manner, interrogating the know-how in each of these areas.\nSPEAKERS\nEnrique Zuazua is a renowned mathematician and an Alexander von Humboldt Professor at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany, where he holds the Chair for Dynamics, Control, Machine Learning and Numerics (FAU DCN-AvH). His fields of expertise in the broad area of Applied Mathematics include Partial Differential Equations, Systems, Control, Numerical Analysis and Machine Learning.\nMartin Lazar is a distinguished mathematician and full professor at the Faculty of Electrical Engineering and Applied Computing, University of Dubrovnik, Croatia. His research covers a broad area of Applied mathematics, including Control theory, PDEs, Microlocal analysis, Geophysical fluid dynamics and Machine learning.\nWatch the spot of this course @YouTube\n_\nDon’t miss out our Upcoming events!\n
URL:https://cmc.deusto.eus/events-calendar/eeci-igsc-2025-m18-control-and-machine-learning/
ORGANIZER;CN=EECI:MAILTO:
CATEGORIES:EZuazua,Seminar/Talk,Workshop
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