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TZID:Europe/Paris
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20210304T150000
DTEND;TZID=Europe/Paris:20210304T160000
DTSTAMP:20260519T163548
CREATED:20210302T154719Z
LAST-MODIFIED:20210302T154719Z
UID:11648-1614870000-1614873600@www.loria.fr
SUMMARY:Séminaire D3: Performance and security in the Internet
DESCRIPTION:Séminaire donné par : Baptiste Jonglez\nInria / Laboratoire d’Informatique de Grenoble\nThe Internet has been the dominant networking model for decades thanks to its robust design\, low cost\, and ability to grow organically. However\, this comes with a major tradeoff: no actor can claim to have complete visibility or control on end-to-end network paths. This lack of end-to-end control impacts both performance and security\, which helps to explain why they are both long-lasting challenges in the Internet. \nEnd-to-end performance is hard to understand or improve without visibility into the complete network path; similarly\, network security is hard to ensure in a distributed network\, because a wide variety of actors would need to agree on protocols and best practices. \nThis presentation will detail two recent works\, each related to one of\nthese two challenges: end-to-end network performance and network security.
URL:https://www.loria.fr/event/seminaire-d3-performance-and-security-in-the-internet/
LOCATION:online
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20210308T100000
DTEND;TZID=Europe/Paris:20210308T113000
DTSTAMP:20260519T163548
CREATED:20210304T195503Z
LAST-MODIFIED:20210304T195532Z
UID:11667-1615197600-1615203000@www.loria.fr
SUMMARY:D3 seminar: Rémy Grünblatt and Mourad Dridi
DESCRIPTION:Next Department 3 seminar will take place on Monday\, 8th March at 10am with two presentations. \n10h00: De l’évaluation des performances Wi-Fi à la mobilité contrôlée pour les réseaux de drones\, par Rémy Grünblatt (INRIA Inria Lille – Nord Europe) \nFrom Wi-Fi performance evaluation to controlled mobility for drone networks \nMobility in telecommunication networks is often seen as a hassle that needs to be dealt with: a mobile wireless device has to adapt is trans-mission parameters in order to remain connected to its counterpart(s)\,as the channel evolves with the device’s movements. Drones are no exception. In this presentation\, I’ll show how controlled mobility can be used to increase the performance of a drone network\, with a focus on IEEE 802.11 networks and small multi-rotor drones.\nI will first describe how mobility is partially dealt with in 802.11 networks\, that is to say using rate adaptation mechanisms\, and I’ll present the rate adaptation algorithm used in the Intel Wi-Fi chipsets\, also used in the Intel Aero Drone\, which I reverse engineered. The study of this rate adaptation algorithm\, thanks to its implementation in the network simulator NS-3\, allows its comparison against other well-known algorithms\, and highlights how big the impact of such algorithms is\, for drone networks.\nI will then present a controlled mobility solution which leverages the antenna radiation pattern of the drones. This algorithm is evaluated thanks to a customized simulation framework for antenna and drone simulation\, based on NS-3. This solution\, which works with any rate adaptation algorithm\, is distributed\, and do not require a global coordination that would be costly. It also does not require a full and complete control of the drone mobility as existing controlled mobility solutions require\, which makes this solution compatible with various applications. \n10h40: Robustesse des architectures pluri-cœurs et NoCs\, par Mourad Dridi (Université Polytechnique Hauts-de-France\, INSA\, Valenciennes) \n\nMon projet de recherche va porter principalement sur l’applicabilité de la théorie de l’ordonnancement\ntemps réel dans la conception et l’implémentation des systèmes embarqués.\nLes applications d’aujourd’hui demandent un fonctionnement en temps-réel\, pour fournir des résultats\ndans des délais bien précis\, comme la navigation par GPS\, le codage du son dans un téléphone cellulaire\, la\ncommande du gouvernail d’un avion\, la vidéo surveillance active\, l’ABS d’une voiture\, …\n\nMon objectif est donc de développer des méthodes\, techniques et outils pour la conception\, la vérification et la réalisation\nde systèmes informatiques temps réel. Afin d’atteindre cet objectif\, je voudrais exercer des activités de recherche dans les sujets suivants :\n\n\nLes systèmes temps réel multi-critiques et les systèmes temps réel à criticité mixte\nLe problème du placement dans les architectures pluri-cœurs\nL’ordonnancement des communications dans les architectures pluri-cœurs (NoCs\, SpaceWire …)
URL:https://www.loria.fr/event/d3-seminar/
CATEGORIES:Séminaire
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20210311T084500
DTEND;TZID=Europe/Paris:20210311T100000
DTSTAMP:20260519T163548
CREATED:20210219T145520Z
LAST-MODIFIED:20210219T145520Z
UID:11609-1615452300-1615456800@www.loria.fr
SUMMARY:Soutenance HDR : Laure Buhry (NeuroRhythms)
DESCRIPTION:Laure Buhry\, maître de conférences dans l’équipe NeuroRhythms\, soutiendra son Habilitation à Diriger des Recherches\, le jeudi 11 mars à 8h45. \nSon HDR est intitulée « La musique du cerveau : modélisation des mécanismes de genèse et\nmaintien des rythmes oscillatoires neuronaux ». \nJury : \nRapporteurs : \n\nM. Frédéric ALEXANDRE DR INRIA\, INM\, Bordeaux\nM. Boris GUTKIN DR CNRS\, ENS\, Paris\nM. Paul-Antoine SALIN\, DR CNRS\, CRNL\, Lyon\n\nExaminateurs : \n\nMme Valérie LOUIS DORR\, PU\, ENSEM-UL-CRAN\, Nancy\nM. Louis MAILLARD\, PU-PH\, CHRU-CRAN\, Nancy\nM. Julien MODOLO\, CR INSERM\, LTSI\, Rennes\n\nInvité : \n\nM. Raymund SCHWAN\, PU-PH\, CPN-INSERM\, Nancy-Strasbourg\n\nRésumé :\nLa compréhension des mécanismes neuronaux sous-jacents aux fonctions cognitives chez le sujet sain et en fonctionnement pathologique requiert la collaboration de plusieurs disciplines : les neurosciences fondamentales\, la médecine\, dont la neurologie et la psychiatrie\, mais également la modélisation mathématique et la simulation informatique. Les travaux présentés ici\, à la croisée de ces différents domaines\, concernent les aspects de modélisation et de simulation multi-échelles de l’activité électrique neuronale. Nous nous intéressons notamment à l’influence des propriétés intrinsèques microscopiques et aux interactions neuronales mésoscopiques dans la génération des oscillations observées\, au niveau macroscopique\, dans les enregistrements physiologiques. Cette approche vise à élucider des mécanismes physiologiques du fonctionnement cérébral\, à compléter ou orienter la démarche expérimentale en biologie et à tester des hypothèses aujourd’hui encore inaccessibles à l’observation expérimentale. En termes applicatifs\, nous abordons notamment la modélisation et la simulation de l’activité de : la formation hippocampique – structure impliquée dans la formation de la mémoire – saine et dans les épilepsies du lobe temporal mésian\, pendant la veille et le sommeil lent profond ; des neurones hippocampiques en présence d’un anesthésique\, le propofol ; et des ganglions de la bases dans la maladie de Parkinson. Ces travaux ayant mis en évidence des mécanismes communs aux différentes pathologies étudiées\, le projet de recherche futur s’oriente\, toujours sous l’angle de la modélisation et de la simulation de l’activité neuronale ou des cellules à activité rythmique\, vers le rôle de l’homéostasie ionique et l’expression de canaux ioniques spécifiques dans les pathologies neurologiques et psychiatriques.
URL:https://www.loria.fr/event/soutenance-hdr-laure-buhry-neurorhythms/
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210316
DTEND;VALUE=DATE:20210317
DTSTAMP:20260519T163548
CREATED:20210303T142422Z
LAST-MODIFIED:20210303T142722Z
UID:11658-1615852800-1615939199@www.loria.fr
SUMMARY:GT GDMM - Journées de Géométrie Discrète et Morphologie Mathématique
DESCRIPTION:La journée du GT GDMM aura lieu le 16 mars 2021 en ligne. \nLa journée du Groupe de Travail de Géométrie Discrète et Morphologie Mathématique des groupements de recherche IM et IGRV est l’occasion pour les enseignants-chercheurs\, chercheurs\, doctorants de se rencontrer\, d’échanger sur les travaux les plus récents\, d’initier de nouvelles collaborations sur tous les thèmes de la géométrie discrète et de la morphologie mathématique. \nElle précède la journée plénière GdR IGRV le 17 mars 2021. \nDates importantes :\n\nJournées du GTMG 2018 : le 16 Mars 2021.\nOuverture des inscriptions : jusqu’au lundi 15 Mars 2021.\nProposition d’exposé (Titre et résumé) : avant le 10 Mars 2021.\n\nComité d’organisation :\nPhuc Ngo\, Isabelle Debled-Rennesson\, Philippe Even et Eric Domenjoud (équipe ADAGIo). \nToutes les informations sur ces deux événements sur le site du GT GDMM.
URL:https://www.loria.fr/event/gt-gdmm-journees-de-geometrie-discrete-et-morphologie-mathematique/
CATEGORIES:Conférence
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20210317T093000
DTEND;TZID=Europe/Paris:20210317T110000
DTSTAMP:20260519T163548
CREATED:20210312T122646Z
LAST-MODIFIED:20210312T122646Z
UID:11732-1615973400-1615978800@www.loria.fr
SUMMARY:PhD defense: Daryna Panicheva
DESCRIPTION:Daryna Panicheva (Magrit) will defend here thesis on Wednesday\, March 17th at 9:30. \nThe defense will be held in English and is entitled « Image-based mitral valve modeling for biomechanical applications« . Her thesis is supervised by Marie-Odile Berger and Pierre-Frédéric Villard (Magrit). \nAbstract:\nIn this thesis we aimed to develop methods for the realistic simulation of the mitral valve behavior using image-based geometry. To achieve this goal\, the segmentation of valve components was guided by the nature of the chosen biomechanical model. \nMethods for the valve components segmentation and their integration into the model have been proposed. We focused on automatic chordae extraction as it would improve the simulation reproducibility on various data examples\, and thus help to advance towards patient-based clinical applications. \nThe procedure proposed for the automatic extraction of the chordae consists of three steps. First\, the segmentation of the chordae is obtained with the method based on the topological properties of the structures. Then\, the representation of the geometry in a form of trees of  connected line segments is extracted using the tracking approach combined with the local fitting of a cylindrical model. In order to make the geometry resulting from these methods consistent with the biomechanical model\, the final stage of the chordae structure optimization is applied. In particular\, the optimization makes it possible to reduce slack in the chordae and to correct false topological configurations by taking into account mechanical and anatomical considerations associated with image data. \nWe have proposed a validation metric for the segmentation results based on the graph similarity. With this metric correspondences between the chordae obtained with our automatic method and those resulting from the manual segmentation are defined\, as well as the quality of the segmentation is assessed. \nWe then demonstrated the application of the extracted chordae geometry in the biomechanical simulation of the closed valve state. The consistency of the reproduced behavior was verified by comparing the results obtained with the chordae from our automatic procedure and the ground truth chordae. The bulging volume and the mechanical stress distribution have been used as quantitative criteria. The coherence of the simulation was also analyzed on a modeled pathological case with ruptured chordae. \n\nKey-words: mitral valve\, image-based modeling\, segmentation\, biomechanical simulation.\n\nCommittee:\nReviewers: Michel Desvignes\, Professeur\, Grenoble INP\nMireille Garreau\, Professeur\, Université de Rennes\n\nExaminers: Jacques Felblinger\, Professeur\, Université de Lorraine\nYohan Payan\, Directeur de recherche  CNRS\, Grenoble\n 
URL:https://www.loria.fr/event/phd-defense-daryna-panicheva/
CATEGORIES:Soutenance
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20210318T110000
DTEND;TZID=Europe/Paris:20210318T120000
DTSTAMP:20260519T163548
CREATED:20210317T091328Z
LAST-MODIFIED:20210317T091328Z
UID:11760-1616065200-1616068800@www.loria.fr
SUMMARY:MALOTEC Webinar by Pierre-Alexandre Murena: Perspectives on Minimum Complexity Analogies
DESCRIPTION:Analogies are 4-ary relations of the form “A is to B as C is to D”. When A\, B and C are fixed\, we call analogical equation the problem of finding the correct D. Even though this task has been shown to be simple for the human cognition\, it remains extremely challenging for artificial agents. In this presentation\, we introduce our recent advances in solving morphological analogies on words based on a principle of minimum of complexity. The idea of our method is to find a transformation from A to B which also applies to C and is maximally simple to describe algorithmically. We will show which new perspectives this principle of minimum complexity can open for the field of analogical reasoning: For that purpose\, we demonstrate the flexibility of our approach toward various related domains\, such as interactive AI\, case-based reasoning\, AI assistance or transfer learning. As a complement\, we will discuss the underlying assumptions of our framework as well as the algorithmic challenges of such an approach\, and show what these limitations imply for the application of this method to other problems. \n  \n\nAbout the speaker:\nPierre-Alexandre Murena is a member of the Probabilistic Machine Learning group in Aalto University (Finland). His research efforts focus on improving interactions between humans and AI. He also made noteworthy contributions to the understanding of analogical reasoning.
URL:https://www.loria.fr/event/malotec-webinar-by-pierre-alexandre-murena-perspectives-on-minimum-complexity-analogies/
LOCATION:online
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210323
DTEND;VALUE=DATE:20210327
DTSTAMP:20260519T163548
CREATED:20210312T122217Z
LAST-MODIFIED:20210312T122217Z
UID:11730-1616457600-1616803199@www.loria.fr
SUMMARY:Journées nationales de l'informatique Mathématique du GDR-IM
DESCRIPTION:Les Journées Nationales de l’Informatique Mathématique (JNIM) sont organisées chaque année par le GDR IM (Informatique Mathématique). C’est une occasion d’information et d’échange annuelle entre les chercheurs du GDR et de la discipline. Elles auront lieu du 23 au 26 mars. \nInscriptions gratuites et obligatoires avant le 18 mars. \nProgramme complet sur le site de la conférence.
URL:https://www.loria.fr/event/journees-nationales-de-linformatique-mathematique-du-gdr-im/
CATEGORIES:Séminaire
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20210325T110000
DTEND;TZID=Europe/Paris:20210325T120000
DTSTAMP:20260519T163548
CREATED:20210323T143331Z
LAST-MODIFIED:20210323T143513Z
UID:11820-1616670000-1616673600@www.loria.fr
SUMMARY:MALOTEC Séminaire : Explainability for Sequential Decision-Making
DESCRIPTION:Machine learning has been used to aid decision-making in several domains\, from healthcare to finance. Understanding the decision process of ML models is paramount in high-stakes decisions that impact people’s lives\, otherwise\, loss of control and lack of trust may arise. Often\, these decisions have a sequential nature. For instance\, the transaction history of a credit card must be considered when predicting the risk of fraud of the most recent transaction Although RNNs are state-of-the-art models for many sequential decision-making tasks\, they are perceived as black-boxes\, creating a tension between accuracy and interpretability. While there has been considerable research effort towards developing explanation methods for ML\, recurrent models have received relatively much less attention. Recently\, Lundberg and Lee unified several methods under a single family of additive feature attribution explainers. From this family\, KernelSHAP has seen a wide adoption throughout the literature; however\, this explainer is unfit to explain models in a sequential setting\, as it only accounts for the current input not the whole sequence. In this work\, we present TimeSHAP\, a model-agnostic recurrent explainer that builds upon KernelSHAP and extends it to sequences. TimeSHAP explains recurrent models by computing feature-\, timestep-\, and cell-level attributions\, producing explanations at both the feature and time axes. As sequences may be arbitrarily long\, we further propose two pruning methods that are shown to dramatically decrease TimeSHAP’s computational cost and increase its reliability. We validate TimeSHAP by using it to explain predictions of two RNN models in two real-world fraud detection tasks\, obtaining relevant insights into these models and their predictions. \n\n\nSpeaker:\nJoão Bento\, Research Data Scientist at Feedzai working on explainability for Machine Learning models.\n\nOn TEAMS. More information at:\nhttps://malotec.loria.fr
URL:https://www.loria.fr/event/malotec-seminaire-explainability-for-sequential-decision-making/
LOCATION:online
CATEGORIES:Séminaire
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20210325T160000
DTEND;TZID=Europe/Paris:20210325T170000
DTSTAMP:20260519T163548
CREATED:20210304T173118Z
LAST-MODIFIED:20210316T154038Z
UID:11664-1616688000-1616691600@www.loria.fr
SUMMARY:DigiTrust Webinar: Alfredo Cuzzocrea
DESCRIPTION:The first webinar of LUE IMPACT project DigiTrust will take place on Thursday\, 25th March at 4pm. \nProfessor Alfredo Cuzzocrea\, Excellence Chair in Computer engineering financed by DigiTrust\, will give a presentation entitled “Privacy-Preserving Big Data Management and Analytics in Distributed Environments: Models\, Issues\, Proposals” \nThe webinar will take place on Teams. \nAbstract: \nNowadays\, big data management and analytics is gaining momentum within the research community. Basically\, the main issue with big data management concerns with effectively and efficiently managing massive big data repositories for a wide variety of typical data management tasks\, such as representation\, querying\, indexing\, partitioning\, and so forth. On the other hand\, big data analytics concerns with extracting useful\, actionable knowledge from big data repositories for decision making purposes\, by extending classical approaches inherited from decades of data mining and machine learning research. In this so-delineated context\, the issue of supporting privacy-preserving big data management and analytics plays a first-class role\, especially with respect to the wide class of emerging big data application scenarios\, which range from social networks to bio-informatics\, from sensors networks to web recommendation tools\, from e-science systems to e-government systems\, and so forth. In all these applicative settings\, protecting the privacy of sensitive information\, for instance personal data or aggregate data\, can be clearly intended as an enabling technology. Distributed environments are the natural humus for collocating privacy-preserving big data management and analytics tasks\, including the astonishing raise of blockchain technology. Among others\, Cloud systems play the major role\, even stirred-up by recent technological advancements that have really enhanced the ICT industry at now. More and more today\, real-life Cloud-based applications\, such as smart cities\, intelligent transportation systems\, marketplace tools and so forth\, are indeed posing new challenges to privacy-preserving big data research\, thus contributing to improve the scientific area. \nThis seminar will explore the research challenge represented by supporting privacy-preserving big data management and analytics in distributed environments\, by exploring models and issues\, and describing some proposed solutions. In particular\, the seminar will consider the special case of supporting privacy-preserving OLAP analytics in distributed environments. This kind of big data analytics tools predicates the definition of multidimensional metaphors to be embedded into the analytics phase\, and supports the achievement of richer actionable knowledge (prone to decision making) to be extracted from distributed big data repositories. On the other hand\, the issue of supporting privacy preservation within OLAP analytics is still an open research problem\, whit many advancements still to be achieved. According to this consideration\, an innovative privacy-preserving OLAP analytics in distributed environments approach is presented in this seminar\, along with the proposal of some interesting extensions that are at now under evolution.
URL:https://www.loria.fr/event/digitrust-webinar/
CATEGORIES:Séminaire
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20210325T180000
DTEND;TZID=Europe/Paris:20210325T193000
DTSTAMP:20260519T163548
CREATED:20210225T122258Z
LAST-MODIFIED:20210225T122349Z
UID:11620-1616695200-1616700600@www.loria.fr
SUMMARY:6eme UX-Forum Exosquelettes : pour l’univers des métiers de soins et de santé
DESCRIPTION:Le Cercle Entreprises et Santé organise le 6eme UX-Forum Exosquelettes. Cet évènement vise à faire dialoguer les principaux acteurs concernés par le développement de ces technologies dans les milieux de la santé. \nDans ce cadre\, Séréna Ivaldi et Pauline Maurice\, chargées de recherche (INRIA et CNRS respectivement) au Loria présenteront leurs expériences au sein du projet ExoTurn. \nCe forum aura lieu en ligne le 25 mars 2021 à 18h. Pour accéder à la visioconférence\, le formulaire d’inscription est disponible sur ce lien.
URL:https://www.loria.fr/event/6eme-ux-forum-exosquelettes-pour-lunivers-des-metiers-de-soins-et-de-sante/
LOCATION:online
CATEGORIES:Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20210325T183000
DTEND;TZID=Europe/Paris:20210325T203000
DTSTAMP:20260519T163548
CREATED:20210301T160631Z
LAST-MODIFIED:20210310T144619Z
UID:11638-1616697000-1616704200@www.loria.fr
SUMMARY:Trois doctorants sélectionnés pour #MT180 2021 !
DESCRIPTION:La finale régionale de Ma Thèse en 180 secondes organisée par l’Université de Lorraine aura lieu le jeudi 25 mars à 18h30. Parmi les onze participants\, trois sont doctorants au sein du Loria : Guilherme Alves Da Silva (Orpailleur)\, Justine Basselin (Pixel) et Jessica Colombel (Larsen)… Tous nos encouragements à eux ! \n\n		\n		\n			\n				\n			\n			\n				\n			\n			\n				\n			\n		\n\nCompte-tenu de la crise sanitaire\, l’évènement se déroulera à huis clos. Le public est invité à regarder la diffusion en direct sur la chaîne YouTube de l’Université de Lorraine. Votez pour votre candidat(e) préféré(e) en vous inscrivant ici !
URL:https://www.loria.fr/event/trois-doctorants-selectionnes-pour-mt180-2021/
LOCATION:online
CATEGORIES:Manifestation
END:VEVENT
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