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DTSTART;TZID=Europe/Paris:20260409T103000
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DTSTAMP:20260409T121401
CREATED:20260331T091052Z
LAST-MODIFIED:20260331T091904Z
UID:10010-1775730600-1775736000@www.etis-lab.fr
SUMMARY:Séminaire ETIS-ICI - Sotiris Skaperas
DESCRIPTION:Title: Efficient and robust learning approaches for dynamic wireless and edge systems.\nOrateur : Dr. Sotiris Skaperas\, ETIS. \nAbstract: Next-generation communication and computing infrastructures operate under dynamic conditions\, resource constraints\, and increasing demands for reliability and security. In this talk\, I will present recent contributions on learning-based methods that address these challenges across wireless and edge environments. The presentation will cover anomaly detection in wireless mesh networks\, efficient and robust learning in dynamic edge systems\, and physical-layer authentication under adversarial conditions. Overall\, these works explore how intelligent methods can improve reliability\, efficiency\, and security in dynamic wireless and edge systems. \nBio: Sotiris Skaperas is postdoctoral researcher at ETIS UMR 8051\, CY Cergy Paris University\, ENSEA\, CNRS and he is currently working on the EU SNS JU ROBUST-6G project. His research focuses on 6G wireless systems\, IoT\, and edge-cloud environments\, with an emphasis on statistical modeling and machine learning for anomaly detection\, resource management\, and wireless physical-layer security. \n 
URL:https://www.etis-lab.fr/event/seminaire-etis-ici-sotiris-skaperas/
LOCATION:ENSEA\, salle 331\, 6 avenue du Ponceau\, Cergy\, 95000\, France
CATEGORIES:ETIS,Seminar
ORGANIZER;CN="Ke Feng":MAILTO:ke.feng@ensea.fr
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