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DTSTART;TZID=Europe/Paris:20260908T140000
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DTSTAMP:20260904T114613Z
CREATED:20260904T094005Z
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UID:29805-1788876000-1788879600@www.loria.fr
SUMMARY:MosAIk seminar: Machine Learning in critical infrastructure: Physics-informed machine learning surrogates within optimization and control tasks in water distribution systems
DESCRIPTION:Next MosAIk seminar will take place on Tuesday\, September 8th at 2pm in the Amphitheater. \nBarbara Hammer\, full Professor for Machine Learning at the CITEC Cluster at Bielefeld University\, Germany\, will give a presentation entitled Machine Learning in critical infrastructure: Physics-informed machine learning surrogates within optimization and control tasks in water distribution systems. \nSummary \nCritical infrastructure such as water distribution systems is subject to an increasing amount of stress in the context of global warming. Typical tasks such as monitoring\, control\, and planning are challenging given the size of the systems and high degrees of uncertainties due to unclear demands. In this context\, recent advances in deep learning carry the promise to substitute computationally costly simulations or only partially observable dynamics by deep surrogate models which are trained on example data. Thereby\, physics-informed training enables the integration of physical laws which ensure the generalization ability beyond the observed training signals provided the regions are covered by the integrated physical principles. Since the resulting deep models are fast to evaluate and they are given in explicit analytic function\, deep surrogates carry diverse promises: They allow for a fast approximation of complex dynamic behavior; they enable real-world state inference given partial information; and they support efficient system optimization based on gradient information. \nIn the talk\, I will focus on opportunities and challenges of surrogate models for a technical application\, namely hydraulic simulation of water distribution systems. I will demonstrate the power of graph neural networks to learn simulations of the dynamics based on hydraulic principles such that inference based on limited information becomes possible. I will have a short glimpse at requirements as posed by the EU’s AI-act such as fairness and robustness. Further\, I will address exemplary downstream tasks\, which become possible based on the surrogate\, specifically sensor placement and network optimization. \nBiography: \nBarbara Hammer is a prominent German computer scientist and professor renowned for her research in machine learning and artificial intelligence. She earned her diploma in mathematics in 1995\, her Ph.D. in computer science in 1999\, and her habilitation in 2003\, all from the University of Osnabrück. After serving as a professor of theoretical computer science at Clausthal University of Technology from 2004 to 2010\, she joined Bielefeld University in 2010\, where she leads the Machine Learning Group within the Center of Cognitive Interaction Technology (CITEC). Her core research focuses on trustworthy and explainable AI\, lifelong learning\, neural networks\, and the analysis of complex structured data\, supported by extensive international academic collaborations and visiting professorships worldwide.
URL:https://www.loria.fr/event/mosaik-seminar-machine-learning-in-critical-infrastructure/
LOCATION:Amphithéâtre du Loria
CATEGORIES:Séminaire
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260922
DTEND;VALUE=DATE:20260924
DTSTAMP:20260904T102930Z
CREATED:20260903T095013Z
LAST-MODIFIED:20260904T102930Z
UID:29794-1790035200-1790207999@www.loria.fr
SUMMARY:Conférence internationale AiRobo
DESCRIPTION:Conférence internationale AiRobo\n\n\n\nEn collaboration avec l’Université de Lorraine\, le Loria\, et avec le soutien de la communauté Cobot d’Unys\, le projet européen AiRobo (Agence Erasmus+ France / Education Formation) a le plaisir de vous inviter à une conférence internationale qui présentera les résultats de la recherche académique. \nVous êtes chercheur·se\, doctorant·e\, ingénieur·e ou professionnel·le de l’industrie ? Venez échanger avec des expert·es venu·es de toute l’Europe autour des dernières avancées scientifiques et technologiques appliquées aux systèmes robotiques fiables et autonomes. \n📅 Mardi 22 et mercredi 23 septembre 2026\n📍 LORIA (Salles A006 / A008)\, Campus scientifique\, 615 rue du Jardin-Botanique à Vandœuvre-lès-Nancy \nAu programme :\n▪️Restitution scientifique : présentation des avancées\, livrables et méthodologies du projet AiRobo.\n▪️ Sessions thématiques : robotique sociale\, certification formelle d’algorithmes critiques\, systèmes hybrides et jumeaux numériques\, retours d’expérience sur les usages industriels et l’innovation pédagogique en vision robotique.\n▪️Échanges et perspectives : table ronde et networking entre scientifiques et industriels européens. \n👉 Retrouvez le programme complet\n🔗 Inscription – jusqu’au 6 septembre \nAvec le soutien de ANR (Agence nationale de la recherche) \n\n\n\n\n\n\n\n 
URL:https://www.loria.fr/event/conference-internationale-airobo/
LOCATION:Loria
CATEGORIES:Conférence
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260925T000000
DTEND;TZID=Europe/Paris:20260925T000000
DTSTAMP:20260824T084921Z
CREATED:20260715T102145Z
LAST-MODIFIED:20260824T084921Z
UID:29595-1790294400-1790294400@www.loria.fr
SUMMARY:Soutenance de thèse : Wafik Zahwa (Resist-Pesto)
DESCRIPTION:Wafik Zahwa (Resist-Pesto)\, soutiendra sa thèse le 25 septembre 2026 à 13 heures en salle C005\, avec un exposé intitulé  \n« In-Network Placement of Access Control Lists Under Constraints ».\n\nComposition du jury :\n\nRapporteurs :\nStefano Secci\, Professeur au CNAM\, Paris\nHind Castel-Taleb\, Professeure à Télécom SudParis\nExaminateurs :\nNoura Limam\, Research Assistant Professor\, University of Waterloo\, Canada\nBernardetta Addis\, Professeure à l’Université de Lorraine\nEncadrants :\nAbdelkader Lahmadi\, Professeur à l’Université de Lorraine\, chercheur au Loria\nMichaël Rusinowitch\, Directeur de recherche émérite\, au Centre Inria de l’Université de Lorraine\nMondher Ayadi\, Directeur Général\, Numeryx (encadrant industriel pour la thèse CIFRE)
URL:https://www.loria.fr/event/soutenance-de-these-wafik-zahwa-resist-pesto/
LOCATION:C005\, Loria
CATEGORIES:Soutenance
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