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DTSTART;TZID=Europe/Paris:20260330T110000
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UID:9959-1774868400-1774873800@www.etis-lab.fr
SUMMARY:Séminaire ETIS-CELL - Paul Desombre
DESCRIPTION:Orateur : Paul Desombre (ETIS) \nTitle: Communications Front-End modeling: Photodiodes\, Digital Power Amplifiers & Systems\nAbstract: \nAs energy efficiency and sobriety becomes more and more a societal concern\, communication systems need to be adapted and to consume less energy. In this talk\, I will present my research on front-end component modeling\, from photodiodes to Digital Power Amplifiers. In photonic-based sub-TeraHertz communications\, the photodiode is a key element on the available transmit power. In my thesis\, I have proposed a model and shown that Continuous Phase Modulations has a better resistance against photodiodes non-linear effects as well as a better energy efficiency than traditional waveforms. During my post-doc at ETIS I focus on Digital Power Amplifiers (DPAs) that have emerged in modern Wireless transmission because of their better efficiency than Analog Power Amplifiers (APAs). I propose a model along with a new Digital Pre-Distortion scheme\, adapted to this new kind of power amplifiers. The talk will conclude on a projection plan of my research with short-term and long-term projects. \nTeam link: https://teams.microsoft.com/meet/31942320814023?p=pSkW9xXckmBVCDlmqr\nMeeting ID: 319 423 208 140 23\nPasscode: zJ9Yp2wz
URL:https://www.etis-lab.fr/event/seminaire-etis-cell-paul-desombre/
LOCATION:Online
CATEGORIES:ETIS,Seminar
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ORGANIZER;CN="St%C3%A9phane Zuckerman":MAILTO:stephane.zuckerman@etis-lab.fr
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DTEND;TZID=Europe/Paris:20260330T150000
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CREATED:20260319T141545Z
LAST-MODIFIED:20260319T141545Z
UID:9941-1774877400-1774882800@www.etis-lab.fr
SUMMARY:[ETIS - Lab Seminar] On the Many Facets of Fairness and Explainability in Graph Data
DESCRIPTION:Date: 30/03/2026\nTime: 13h30\nPlace: ENSEA (room to be defined) \nSpeaker: Prof. Evaggelia Pitoura\, University of Ioannina \nTitle: On the Many Facets of Fairness and Explainability in Graph Data \nAbstract:\nAs AI systems are increasingly used in domains with societal impact\, ensuring fairness and transparency has become a central challenge. In this talk\, I will present an overview of our recent research on fairness\, explainability\, and their interplay\, focusing on graph data\, graph-based learning tasks and knowledge graphs. I will discuss multiple facets of fairness in data graphs\, ranging from lack of bias in knowledge graph tasks to structural properties such as connectivity\, and examine the challenges of explaining decisions and outcomes in graph settings\, including counterfactual explanations. More broadly\, the talk will highlight fairness and explainability as closely connected dimensions of responsible graph data management. \nBio:\nEvaggelia Pitoura is a Professor at the Department of Computer Science and Engineering at the University of Ioannina and a Lead Researcher at Archimedes Research Unit\, Athena RC\, Greece. She holds a BEng degree from the University of Patras\, Greece\, and an MS and PhD from Purdue University\, USA. Her current research interests focus on two primary areas: responsible data management\, with a focus on fairness\, explainability\, and their interplay; and on graph exploration and analysis. For her work\, he has received best paper awards\, a Marie Currie Fellowship and two Recognition of Service Awards from ACM. She is an ACM senior member\, founding chair of the Hellenic ACM SIGMOD chapter\, and member of the sectorial scientific council of Greece National Council for Research\, Technology and Innovation. \n 
URL:https://www.etis-lab.fr/event/etis-lab-seminar-on-the-many-facets-of-fairness-and-explainability-in-graph-data/
LOCATION:ENSEA\, 6\, avenue du Ponceau\, Cergy\, 95000\, France
CATEGORIES:ETIS,Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.etis-lab.fr/wp-content/uploads/2026/03/evi-small-4.jpg
ORGANIZER;CN="Aikaterini Tzompanaki":MAILTO:aikaterini.tzompanaki@ensea.fr
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