Aujourd’hui a lieu notre journée de rentrée du CITI, au programme présentation des nouveaux arrivants, interventions “Mixité des genres”, “Ecoanxiété”, et “Burn out”, présentation de la cellule DDRS du laboratoire, présentation des divers chantiers au niveau du CITI, échanges et moments de cohésion au musée Confluence avec entre autre un escape game.
Speaker: Prof. Alexandre Proutière (KTH)
Date: 11/10/2023
Time: 15h35
Place: Room TD-C Chappe/Lamarr, 6 avenue des arts, La Doua Campus
Title: Radio Network Optimization: A Bandit Approach
Abstract: In this talk, we demonstrate how to efficiently solve radio network optimization problems using a bandit optimization framework. We mainly consider the problem of controlling antenna tilts in cellular networks (so as to reach an efficient trade-off between network coverage and capacity). We start with the design of algorithms learning optimal antenna tilt control policies at a single base station, and formalize this design as a Best Policy Identification (BPI) problem in contextual Multi-Arm Bandits (MABs). We then consider coordinated antenna tilt policies at several interfering base stations, and formalize the design of algorithms learning such policies as a multi-agent MAB problem. In both settings, we derive information-theoretical performance upper bounds satisfied by any algorithm, and devise algorithms approaching these fundamental limits. We illustrate our results numerically using both synthetic and real-world experiments.
This is a joint work with Filippo Vannella (KTH / Ericsson Research) and Jaeseong Jeong (Ericsson Research). The talk is based on the following papers:
https://arxiv.org/pdf/2201.02169.pdf (IEEE Infocom 2022)
https://proceedings.mlr.press/v202/vannella23a/vannella23a.pdf (ICML 2023)
Statistical and computational trade-off in multi-agents multi-armed bandits (to appear in NeurIPS 2023)
The defense will take place on Friday 29th December at 2 PM in the Heidi Lamarr building (Amphi Chappe), Insa-Lyon, Villeurbanne.
Human and Network Mobility Management using Mobile Phone Data
Over the past decade, the increasing use of smartphones has led to a significant rise in the volume of data exchanged through mobile networks of telecommunications operators. Each new generation of mobile network generates more data than its predecessor. By 2027, it is estimated that 289 EB of data will be exchanged per month, with 62% originating from the 5G mobile network. This vast availability of data has opened up new research perspectives, particularly in the study of mobility. Mobile data enables studies on larger populations and extended geographical areas.
In this thesis, we demonstrate that the events described in mobile data can also be found in other data sources. Through comparisons between mobile data and sensors detecting human presence, we observe a reasonable correlation. However, certain events, such as synchronization of peak presence or end-of-day activity, exhibit less similarity. We also utilize mobile data to examine the impact of the COVID-19 lockdowns imposed by the French government on land usage in Paris. Our findings indicate that the first lockdown had a profound impact on mobility patterns and land utilization, while the second and third lockdowns had a lesser impact. Lastly, we leverage this data for the reconfiguration of the mobile network in managing user micro-mobility, known as handover. The eNodeBs, which constitute the access network, can have different profiles and categories. By distinguishing between mobile and stationary users, we can optimize resource allocation through network reconfiguration. Dynamic network reconfiguration, employing various eNodeB profiles, also enables resource savings for mobile users.
The defense will take place on Tuesday 6th June at 10 AM in the Heidi Lamarr building (Amphi Chappe), Insa-Lyon, Villeurbanne.
Spatio-temporal Data Analysis for Dynamic Phenomenon Monitoring Using Mobile Sensors
Monitoring air pollution in emergencies (industrial accidents, terrorist attacks, volcanic eruptions, etc.) is of utmost importance given the dramatic effects that the released pollutants can cause on both human health and the environment. In these situations, the pollution plume is strongly dynamic leading to a fast dispersion of pollutants in the atmosphere. Thus, the need for real-time response is very strong and a solution to get a precise mapping of pollution dispersion is needed to mitigate risks.
This thesis focuses on the monitoring of air pollution in emergencies using a fleet of drones, with three main areas of investigation: 1) the spatiotemporal prediction of pollution plume evolution; 2) the optimal planning of drones trajectories to improve pollution mapping; and 3) the development of a generic solution for dynamic pollution monitoring. Through this work, we
propose a spatio-temporal Deep Learning model for multi-point forecasting of pollution concentrations, and we built upon several uncertainty quantification techniques to make it more trustworthy. Furthermore, we examine and identify the main challenges related to the underlying phenomena as well as its emergency context, and we suggest a new systemic approach for monitoring dynamic air pollution based on aerial sensing, that combines Deep Learning approaches, with Data Assimilation techniques, while relying at the same time on adequate path planning
strategies. The framework is then extended to address the data scarcity issues encountered in such situations through a transfer learning solution based on physical models. Finally, we meticulously address the drones’ path planning problem to improve the air pollution mapping quality, and we provide a Multi-Agent Reinforcement Learning solution.
Keywords: Monitoring Dynamic Air Pollution, Spatio-temporal Forecasting, Deep Learning, Multi-Agent Reinforcement Learning, Drones.
Speaker: François is Prof. at University of Sherbrooke (Canada), and leading the IntroLab at the 3IT institute.
Date: 26/05/2023
Time: 11h00
Place: Amphi Chappe/Lamarr, 6 avenue des arts, La Doua Campus
Title: Working Toward Human-Robot Symbiosis
Abstract: Human-robot symbiosis implies developing robotic systems that can collaborate with humans in open and ‘messy’ conditions, meaning unpredictable real-life settings, such as those found in assistive healthcare and work environments. Achieving human-robot symbiosis requires humanizing the sensing, perception, reasoning, and actuating capabilities based on evaluating human safety, well-being, acceptability, and usability. Researchers need to adopt a holistic approach enabling robots to seamlessly ‘see, hear and be’ in everyday settings, and design robots that are situationally balanced, in which complexity levels of sensory, motor, and artificial intelligence (AI)/cognitive capabilities are matched with the environment and people. This presentation addresses an overview of interactive robots and systems developed at IntRoLab, Université de Sherbrooke, involving compliant actuators, assistive robot platforms, telepresence robots, vision-based SLAM, drone intrusion, weed remoal robot, robot companion and robotic living labs.
Bio: François Michaud, Ph.D., is an engineer and full professor in the Department of Electrical and Computer Engineering at the Université de Sherbrooke, in Québec Canada. Holder of the Canada Research Chair in Mobile Robotics and Intelligent Autonomous Systems from 2001 to 2011, his research activities are aimed at integrating intelligent autonomous robotic systems into everyday operating conditions, to improve the well-being of people. His expertise is in human-robot interaction, assistive robotics, telepresence robotics, robot design and cognitive robotics. He has extensive experience in initiating and conducting interdisciplinary and intersectoral research projects involving collaborators in physiotherapy, occupational therapy, agriculture, child psychiatry, education, cognitive science, manufacturing, arts and automotive. He has published over 225 peer-reviewed papers in journals and international conferences (h-index 50), has been awarded 8 patents, has five significant distributed open source (software and hardware) contributions used by the robotics community, and has received funding over 50 M$ CAD supporting a broad range of research initiatives. He is the founding director of the Interdisciplinary Institute for Technological Innovation (3IT) (2008 – 2015), co-founder of Robotique FIRST Quebec (2010 – ), founder of Quebec Strategic Cluster INTER (Interactive Technologies in Rehabilitation Engineering) (2011 – ), and co-founder of a graduate training program CoRoM (COllaborative RObotics for Manufacturing). He is the Editor-in-Chief of Springer Nature Current Robotics Reports. He is also the founding director of the Bachelor of Robotics Engineering Program (2017 – ) at the Université de Sherbrooke, the first and only one in Canada.
Speaker: Frédéric Prost is an associate professor hosted by the CITI laboratory: https://lig-membres.imag.fr/prost/
Date: 04/05/2023
Time: 12h15
Place: Amphi Chappe/Lamarr, 6 avenue des arts, La Doua Campus
Title: AI Risk: an Historical Perspective through the Game of Chess
Abstract: The game of chess as always been viewed as an iconic representation of intellectual prowess. Since the very beginning of computer science, the challenge of being able to program a computer capable of playing chess and beating humans has been alive and used both as a mark to measure hardware/software progresses and as an ongoing programming challenge leading to numerous discoveries.
Recent advances in AI (GPT-4, Midjourney etc.) have raised an important discussion on the societal risk of AI. Several articles, and a recent request for a moratorium of 6 months in AI research (signed by thousands of AI researchers and influential figures from politics, economics etc. https://futureoflife.org/open-letter/pause-giant-ai-experiments/) have been published in the last few weeks.
In this talk I will tackle the issue of AI risk from an historical perspective. In chess the AI are stronger than humans for more than a quarter of century (Kasparov loss to Deep Blue dates back to 1997). We can use this history as a proxy to discuss fears/hopes and to explore what happens when AI develops super human capabilities (for instance how the chess community has evolved). Of course the range of the chess is wolrd is limited in its scope with relation to LLMs. But it is interesting and justified because, when one is trying to study a complex phenomenon, isolating experiments in a lab allows the reduction of noise.
Bio: Frédéric Prost est MdC à l’université Grenoble Alpes et au laboratoire LIG, hébergé au CITI. Il a principalement travaillé dans la théorie des langages de programmation (réécriture de graphes, sémantique des langages d’interrogation des BD graphes) et les problématiques de confidentialité (analyse de non interférence, anonymisation de bases de données graphe).
Speaker: Khac-Hoang Ngo (Chalmers University of Technology)
Date: 20/04/2023
Time: 10h00
Place: Amphi Chappe/Lamarr, 6 avenue des arts, La Doua Campus
Title: Unsourced Multiple Access: An Information-Theoretic Analysis
Abstract: The drastic growth of the number of connected devices gives rise to the Internet of Things (IoT). Massive IoT connectivity targets a large number of low-cost, battery-limited, narrowband devices—meters, sensors, trackers, wearables—that transmit small data volumes in a sporadic and uncoordinated manner. These key features are captured by the unsourced multiple access (UMA) model proposed by Polyanskiy (2017), where all users transmit their messages using the same codebook and the decoder returns an unordered list of messages. In this talk, we introduce the UMA framework and Polyanskiy’s random-coding achievability bound for the Gaussian UMA channel. We then extend this bound to the case of random and unknown number of active users, thus fully account for the random user activity. Finally, we investigate a setting where, on top of the standard UMA messages, the users transmit a common alarm message that needs to be decoded with higher reliability; we thereby study the coexistence of massive and critical IoT.
Bio: Khac-Hoang Ngo (https://khachoang1412.github.io/) received the B.Eng. degree (Hons.) in electronics and telecommunications from Vietnam National University, Hanoi, Vietnam, in 2014; and the M.Sc. degree (Hons.) and Ph.D. degree in wireless communications from CentraleSupélec, Paris-Saclay University, France, in 2016 and 2020, respectively. His Ph.D. thesis was also realized at Paris Research Center, Huawei Technologies France. Since September 2020, he has been a postdoc at Chalmers University of Technology, Sweden under a project funded by the MSCA Individual Fellowship. His research interests include wireless communications and information theory, with an emphasis on massive random access, edge computing, MIMO, noncoherent communications, coded caching, and network coding. He received the Honda Award for Young Engineers and Scientists in Vietnam in 2013 and the “Signal, Image & Vision Ph.D. Thesis Prize” by Club EEA, GRETSI and GdR-ISIS, France, in 2021.
Le laboratoire CITI en a obtenu 3 distinction aux distinctions scientifiques de l’INSA :
Mathieu CUNCHE (équipe PRIVATICS)
A reçu le IEEE 802 Working Group Chair award for “outstanding
contributions to the development of IEEE Standard 802E-2020”
IEEE 802E-2020 : Pratique recommandée de l’IEEE concernant les
considérations de confidentialité pour les technologies IEEE 802(R)
Un modèle de menace à la vie privée pour les technologies IEEE 802® est
spécifié par cette pratique recommandée. Le document fournit également
des recommandations sur la manière de se protéger contre les menaces
pour la vie privée et favorise une approche cohérente de l’atténuation
des menaces pour la vie privée par les développeurs de protocoles IEEE 802.
Razvan STANICA (équipe AGORA)
A reçu le prix du meilleur chercheur junior de l’année 2021 par le
Groupe de Recherche – Réseaux et systèmes distribués (GDR RSD) du CNRS
a contribué au domaine des réseaux véhiculaires avant d’élargir ses
thématiques de recherche aux stratégies de collecte de données des
réseaux mobiles, à leur analyse pour caractériser les usages aussi bien
que les performances et enfin aux architectures et protocoles réseaux en
proposant une approche innovante de convergence du réseau d’accès et du
réseau cœur.
L’impact de son travail est reflété par un grand nombre de citations et
par son leadership dans six projets de recherche, avec des partenaires
académiques et industriels, dont un JCJC (Jeunes Chercheurs et Jeunes
Chercheures) de l’Agence Nationale de la Recherche, qui a débuté en 2021.
L’équipe LyonTech (équipe CITI-Chroma INSA & CPE Lyon)
Impliquant du CITI : Fabrice Jumel, Benoit Renault, Jacques Saraydaryan,
Olivier Simonin
Autres membres : Raphael Leber, Sébastien Altounian, Simon Ernst,
Florian Dupuis, Jeanne Fort, Cedric Mathou
a obtenu les résultats suivant à la compétition internationale
Robocup@Home 2021 :
La RoboCup@Home vise à développer une technologie robotique d’assistance
pour des applications domestiques. L’évaluation consiste à tester les
capacités et les performances de chaque robot dans un univers réaliste
et non-standardisé.
Le PhD Day du CITI se déroulera le 9 Mars toute la journée dans le bâtiment Chappe/Lamarr de l’Insa-Lyon !
Cette journée conviviale et scientifique est l’occasion rêvée pour découvrir les sujets de recherche du laboratoire et sur les doctorants qui les mènent.
Programme complet ainsi que les profils des doctorants participants ici.
