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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260312T133000
DTEND;TZID=Europe/Paris:20260312T173000
DTSTAMP:20260421T121320
CREATED:20260305T074054Z
LAST-MODIFIED:20260305T075251Z
UID:9903-1773322200-1773336600@www.etis-lab.fr
SUMMARY:Journée des doctorants ETIS / ETIS Laboratory PhD students' Day
DESCRIPTION:La Journée des doctorant·e·s du laboratoire ETIS est un moment privilégié d’échange et de découverte scientifique\, dédié à la mise en lumière des travaux de recherche menés au sein du laboratoire. \nTout au long de l’après-midi du 12 mars\, vous pourrez découvrir la diversité des projets portés par les doctorant·e·s. \nJournée des doctorants ETIS / ETIS Laboratory PhD students’ Day \n \n______________________________________________________________________ \nThe ETIS Laboratory PhD students’ Day is a special opportunity for academic exchange and scientific discovery\, dedicated to showcasing the research carried out within the laboratory. \nThroughout the afternoon of March 12th\, you will have the opportunity to explore the diversity of projects led by our PhD candidates.
URL:https://www.etis-lab.fr/event/9903/
LOCATION:ENSEA\, la Rue – Epsilon Lab\, avenue du Ponceau\, Cergy\, 95000\, France
CATEGORIES:ETIS
ATTACH;FMTTYPE=image/jpeg:https://www.etis-lab.fr/wp-content/uploads/2026/03/PhD_Day_2026.v01.jpg
ORGANIZER;CN="ETIS PhD Student Club":MAILTO:phd_club@etis-lab.fr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260318T140000
DTEND;TZID=Europe/Paris:20260318T150000
DTSTAMP:20260421T121320
CREATED:20260317T095613Z
LAST-MODIFIED:20260317T095613Z
UID:9923-1773842400-1773846000@www.etis-lab.fr
SUMMARY:Séminaire SmartGait Lab : Dr Zaid Akram
DESCRIPTION:[Séminaire SmartGait Lab] Les surfaces intelligentes (RIS) pour l’analyse radar de l’activité humaine\nL’équipe SmartGait Lab a le plaisir de vous inviter à son prochain séminaire de recherche intitulé : « L’apport des surfaces intelligentes réfléchissantes (RIS) dans l’analyse radar de l’activité humaine ». \nPour cette session\, nous aurons l’honneur d’accueillir le Dr Zaid Akram\, chercheur à l’Université de Glasgow et expert de ces technologies. Le Dr Zaid partagera ses travaux sur l’optimisation de l’environnement électromagnétique au service du suivi biométrique sans contact. \n📍 Informations pratiques \n\nDate : Mercredi 18 mars\nHeure : 14h00 – 15h00\nLieu : ENSEA\, salle D331\nVisioconférence : https://teams.microsoft.com/meet/37048590102227?p=gkBIesu1Z9B51Heeiy\nIntervenant : Dr Zaid Akram (Glasgow University)
URL:https://www.etis-lab.fr/event/seminaire-smartgait-lab-dr-zaid-akram/
LOCATION:ENSEA\, salle 331\, 6 avenue du Ponceau\, Cergy\, 95000\, France
CATEGORIES:Seminar
ORGANIZER;CN="Alexandre Bordat":MAILTO:alexandre.bordat@ensea.fr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260325T153000
DTEND;TZID=Europe/Paris:20260325T170000
DTSTAMP:20260421T121320
CREATED:20260320T191304Z
LAST-MODIFIED:20260320T191304Z
UID:9946-1774452600-1774458000@www.etis-lab.fr
SUMMARY:ETIS-Cell seminar - Camille Simon Chane
DESCRIPTION:We are delighted to welcome Camille Simon Chane over Teams for an ETIS-Cell seminar\, which will occur on Wednesday\, 25 March 2026. Room D331 at ENSEA has been booked for colleagues who would like to see the presentation on a bigger screen. \nTitle: Acquisition- and data-driven processing for demanding interdisciplinary applications: from cultural heritage to biodiversity assessment \nAbstract: This talk presents an overview of my work in computer vision for interdisciplinary applications in cultural heritage and public health\, working with unconventional acquisition systems such as event-based cameras. A particular focus will be given to the evolution and positioning of this work as it pertains to planetary boundaries. \nBio: Camille Simon Chane received her MSc in Electrical and Computer Engineering from the Georgia Institute of Technology in 2008\, followed in 2009 by the French Engineering diploma from ENSEA. She earned her PhD in Imaging Instrumentation and Computer Vision from the University of Burgundy in 2013\, where her research focused on the registration of featureless 3D and multispectral data. From 2013 to 2014\, she worked at the Cité de la Musique\, developing a luminescence multispectral camera for the study of violin varnishes. She then joined the Vision and Natural Computation team at the Institut de la Vision\, where she expanded her expertise in event‑based data processing. Since 2017\, she has been an Associate Professor at ENSEA\, conducting her research within the Cell team of the ETIS laboratory. Her work centers on data processing from unconventional sensors\, with applications in public health and cultural heritage. For example\, she contributes to projects assessing the conservation state of book bindings in heritage libraries and developing insect recognition methods based on wing morphology. She is focusing on insect recognition for the 2025−2026 academic year through a sabbatical at Theoretical Ecology Department at CSIC−CEAB. \nLink: https://teams.microsoft.com/meet/33442086490136?p=D06BGQX6z0iCVGvFeA\nMeeting ID: 334 420 864 901 36\nPasscode: Rg3Ka2Wm
URL:https://www.etis-lab.fr/event/etis-cell-seminar-camille-simon-chane/
LOCATION:Online
CATEGORIES:ETIS,Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.etis-lab.fr/wp-content/uploads/2023/10/camillesimonchane_nb.jpg
ORGANIZER;CN="St%C3%A9phane Zuckerman":MAILTO:stephane.zuckerman@etis-lab.fr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260326T100000
DTEND;TZID=Europe/Paris:20260326T113000
DTSTAMP:20260421T121320
CREATED:20260326T070705Z
LAST-MODIFIED:20260326T071458Z
UID:9957-1774519200-1774524600@www.etis-lab.fr
SUMMARY:Séminaire ETIS-CELL - Ghazi Bouaziz
DESCRIPTION:Orateur : Ghazi Bouaziz \nTitre : E-santé frugale : Développement d’un système frugal pour détecter l’isolement social via les repas et les activités de mobilité chez les personnes âgées vivant à domicile.\nRésumé :\nLe vieillissement de la population pose des défis majeurs en matière de maintien à domicile et de prévention de l’isolement social chez les personnes âgées. Dans ce contexte\, les systèmes de e-santé constituent une solution prometteuse\, mais soulèvent des enjeux importants liés à la consommation des ressources numériques\, à la protection des données de santé et à la dépendance technologique.\nCe travail s’inscrit dans une démarche de numérique frugal\, responsable et souverain pour le suivi des personnes âgées à domicile. Il propose le développement d’un système intelligent de détection de l’isolement social reposant sur l’observation non intrusive de deux activités de la vie quotidienne : la mobilité et la prise de repas. Le dispositif s’appuie sur des capteurs simples et peu énergivores\, intégrés dans un environnement de maison intelligente\, et sur un traitement majoritairement local des données.\nL’identification automatique des activités est réalisée à l’aide d’algorithmes d’apprentissage automatique non supervisés et légers\, permettant de détecter des changements de comportement\, qu’ils soient progressifs ou brusques. Ces changements sont ensuite analysés afin d’évaluer un niveau de risque et de déclencher des actions adaptées\, allant de l’accompagnement aux activités quotidiennes à l’alerte en cas de situation de mise en danger.\nCette approche démontre qu’il est possible de concevoir des systèmes de e-santé performants tout en limitant leur empreinte numérique\, en renforçant la maîtrise des données de santé et en favorisant l’acceptabilité sociale. La frugalité numérique apparaît ainsi comme un levier essentiel pour une e-santé durable\, éthique et souveraine. \nShort bio : Ghazi Bouaziz est enseignant-chercheur en Internet des Objets à ESIEE-IT (France). Il est titulaire d’un doctorat en ingénierie pour la santé et pour le vivant de l’Université Toulouse III\, où ses travaux ont porté sur le développement de systèmes intelligents pour la détection de l’isolement social des personnes âgées\, en s’appuyant sur la reconnaissance des activités de la vie quotidienne à partir de capteurs domotiques et d’algorithmes d’intelligence artificielle.\nSes recherches actuelles portent sur l’Internet des Objets\, l’habitat intelligent et l’e-santé\, avec un intérêt particulier pour le traitement de données multimodales\, l’intelligence artificielle\, la surveillance non intrusive et l’analyse comportementale appliquées au maintien à domicile. \nTeams link:    https://teams.microsoft.com/meet/38497897320600?p=AsRd3jueKOI0XsEJqb\nMeeting ID:      384 978 973 206 00\nPasscode:        AP35Cb9Q
URL:https://www.etis-lab.fr/event/seminaire-etis-cell-ghazi-bouaziz/
LOCATION:Online
CATEGORIES:ETIS,Seminar
ORGANIZER;CN="St%C3%A9phane Zuckerman":MAILTO:stephane.zuckerman@etis-lab.fr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260326T160000
DTEND;TZID=Europe/Paris:20260326T173000
DTSTAMP:20260421T121320
CREATED:20260320T191645Z
LAST-MODIFIED:20260320T191746Z
UID:9949-1774540800-1774546200@www.etis-lab.fr
SUMMARY:ETIS-CELL seminar - Louis L'Haridon
DESCRIPTION:We are delighted to welcome Louis L’Haridon on Thursday\, 26 March 2026\, in room D331 (ENSEA) at 4:00pm for the second ETIS-Cell seminar of the week. \nTitle: Bio-Inspired Frugal and Adaptive Embedded AI for Constrained Systems \nAbstract: In this talk\, I present my work on bio-inspired and embodied AI models implemented on embedded robotic systems under real-time and resource constraints. I developed artificial mechanoreceptive and nociceptive sensing\, neuromodulation-based regulation\, and event-driven representations to enable adaptive behavior with controlled computational cost\, following an Application–Architecture Adequation (AAA) approach. Building on these results\, I outline a research trajectory toward hardware-aware embedded AI for constrained systems. \nBio: Louis L’Haridon is enseignant-chercheur CDD at CY Cergy Paris Université (ETIS) where he study adaptive and\, bio-inspired and embedded AI on constrained systems like robots. He teaches class on Embedded computing\, Real Time\, computer architecture and algorithmic. \nThe seminar will also be accessible via video-conference: \nTeams link: https://teams.microsoft.com/meet/38361145050952?p=KR9SG0zCT2IaenxoX4\nMeeting ID: 383 611 450 509 52\nPasscode: 7cV6dc9n
URL:https://www.etis-lab.fr/event/etis-cell-seminar-louis-lharidon/
LOCATION:ENSEA\, salle 331\, 6 avenue du Ponceau\, Cergy\, 95000\, France
CATEGORIES:ETIS,Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.etis-lab.fr/wp-content/uploads/2022/02/LOUIS_L_HARIDON_300.jpg
ORGANIZER;CN="St%C3%A9phane Zuckerman":MAILTO:stephane.zuckerman@etis-lab.fr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260330T110000
DTEND;TZID=Europe/Paris:20260330T123000
DTSTAMP:20260421T121320
CREATED:20260326T071048Z
LAST-MODIFIED:20260326T071048Z
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
ATTACH;FMTTYPE=image/png:https://www.etis-lab.fr/wp-content/uploads/2025/10/paul_desombre-1.png
ORGANIZER;CN="St%C3%A9phane Zuckerman":MAILTO:stephane.zuckerman@etis-lab.fr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260330T133000
DTEND;TZID=Europe/Paris:20260330T150000
DTSTAMP:20260421T121320
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260331T103000
DTEND;TZID=Europe/Paris:20260331T120000
DTSTAMP:20260421T121320
CREATED:20260326T073216Z
LAST-MODIFIED:20260326T073216Z
UID:9973-1774953000-1774958400@www.etis-lab.fr
SUMMARY:Séminaire ETIS-ICI - Samar Chebbi
DESCRIPTION:Orateur : Dr. Samar Chebbi will present the following work. \nTitle: From MIMO-NOMA Optimization to EMF Mapping: Towards Sustainable and Energy-Efficient Wireless Networks\nAbstract:\nThe presentation will first introduce the context of next-generation wireless networks and the main challenges related to massive connectivity\, interference management\, and resource allocation. I will then present my doctoral work on MIMO-NOMA systems\, focusing on user clustering and power allocation strategies based on optimization techniques\, including metaheuristic approaches. In a second part\, I will present my current research at Télécom Paris on electromagnetic field (EMF) exposure mapping\, where machine learning methods are used to model and predict exposure levels from heterogeneous data sources combining measurements and simulations. Finally\, I will discuss the perspective of sustainable wireless networks\, highlighting the need to jointly address performance\, energy efficiency\, and EMF exposure\, and outlining future research directions at the intersection of optimization\, physical modeling\, and artificial intelligence. \n 
URL:https://www.etis-lab.fr/event/seminaire-etis-ici-samar-chebbi/
CATEGORIES:ETIS,Seminar
ORGANIZER;CN="Ke Feng":MAILTO:ke.feng@ensea.fr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260331T140000
DTEND;TZID=Europe/Paris:20260331T153000
DTSTAMP:20260421T121320
CREATED:20260326T071413Z
LAST-MODIFIED:20260326T071413Z
UID:9962-1774965600-1774971000@www.etis-lab.fr
SUMMARY:Séminaire ETIS-CELL - Aurélique Saulquin
DESCRIPTION:Orateur : Aurélique Saulquin (CRIStAL\, Université de Lille) \nTitle: Spiking Neural Network emulation on FPGA for low-power AI\nAbstract:\nAI\, and particularly ANNs have become central to modern computing with remarkable performances for complex task resolution. However\, deploying ANNs on embedded systems remains challenging due to their complexity. Neuromorphic computing\, and especially Spiking\nNeural Networks (SNNs) offers an alternative solution\, drawing inspiration from the brain.\nAlthough promising\, neuromorphic chips are limited and poorly reconfigurable\, making FPGAs an interesting target for research and embedded low-power classification tasks.\nIn this context\, we develop ModNEF\, an open-source modular FPGA architecture for SNN inference. Modnef is based on the interconnection of independent modules\, offering high implementation flexibility and control. ModNEF was validated with standard neuromorphic\ndatasets and with a use case for sperm whale detection in the Mediterranean Sea. \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-aurelique-saulquin/
LOCATION:Online
CATEGORIES:ETIS,Seminar
ORGANIZER;CN="St%C3%A9phane Zuckerman":MAILTO:stephane.zuckerman@etis-lab.fr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260331T150000
DTEND;TZID=Europe/Paris:20260331T163000
DTSTAMP:20260421T121320
CREATED:20260319T142019Z
LAST-MODIFIED:20260320T192254Z
UID:9944-1774969200-1774974600@www.etis-lab.fr
SUMMARY:Séminaire ETIS-DATA&AI - Intégration de métadonnées de nœuds dans des modèles graphiques gaussiens contraints par le Laplacien
DESCRIPTION:Titre :\nIntégration de métadonnées de nœuds dans des modèles graphiques gaussiens contraints par le Laplacien \nRésumé :\nNous nous intéressons à l’apprentissage de graphes dans le cadre des modèles graphiques gaussiens (GGM). Dans ce contexte\, les matrices de données sont souvent accompagnées de métadonnées auxiliaires (par exemple\, des descriptions textuelles associées à chaque nœud)\, qui sont généralement ignorées dans les méthodes traditionnelles d’estimation de graphes.\nPour combler cette lacune\, nous proposons une approche d’apprentissage de graphe fondée sur des GGM contraints par le Laplacien\, exploitant conjointement les signaux des nœuds et ces métadonnées. La formulation obtenue conduit à un problème d’optimisation pour lequel nous développons un algorithme de majoration-minimisation (MM) efficace\, avec des mises à jour sous forme fermée à chaque itération. Des résultats expérimentaux sur des données financières réelles montrent que la méthode proposée améliore significativement les performances de regroupement de graphes\, illustrant ainsi l’intérêt de la fusion de ces deux sources d’information. \nIntervenant :\nJianhua WANG\, CNAM / Université Paris-Nanterre \nSéminaire en ligne\, lien à venir.
URL:https://www.etis-lab.fr/event/seminaire-dataai-integration-de-metadonnees-de-noeuds-dans-des-modeles-graphiques-gaussiens-contraints-par-le-laplacien/
LOCATION:Online
CATEGORIES:ETIS,Seminar
ORGANIZER;CN="Vassiis Christophides":MAILTO:vassilis.christophides@ensea.fr
END:VEVENT
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