International fundings and projects FP7
GRAISearch is an Industry-Academia Partnerships and Pathways project (IAPP) aiming at transferring knowledge from Academia to Industries. It is also a support for training and career development of researchers (Marie Curie). A Web startup, Tapastreet Ltd, as well as two academic institutions, INSA de Lyon (LIRIS UMR CNRS 5205) and Trinity College Dublin (TCD) for their knwoledge resp. in Data science & Vizualization, are involved. The goal is to transfer recent technologies from research on video summarization, 3D scene reconstruction, data mining and event detection from social media, into the products of Tapastreet LTD. Transfert is made also via 20 months mobilities between any pairs of the three partners.
This projects involves 28 european partners and leaded by STMicroelectronics. Our DM2L team is involved in WP5 "Data Analysis and Yield". Maintaining cost decrease per function, reducing cycle times, improving reproducibility and equipment effectiveness while reducing the environmental impact of the factories are key challenges to be addressed to keep the competitiveness of European SC manufacturers. The INTEGRATE project aims to enhance European semiconductor fabs efficiency by providing methods and tools to better control the process variability, reduce the cycle time and enhance the effectiveness of the production equipment.
Our DM2L team is involved in WP2 "Data driven-modelling of polymer injection molding process". Mold4prodE aims to develop and assess a method which will give tool makers the opportunity to design and deliver more quickly "turn key intelligent" tools to end users. The project comprises 24 partners, including SMEs, RTDs and other enterprises from the European union.
National fundings and projects ANR, FUI, ...
A new R&D program in the sector of semi-conductors of 3,5 billions euros, financed by the French Government. The DM2L team works in a sub-project called Détection préventive des défauts et identification des causes with STMicroelectronics, LIG and ProbaYES.
The study of the Bicycle Sharing System of Lyon called Vélo'v and its social appropriation. Its objectives are to characterize Vélo'v as an evolving socio-technical system and to model it. In collaboration with ENS de Lyon, LET, JD Decaux cyclocity.
More info soon.
This an energy-oriented research and development (R&D) project for the benefit of French plants. The goal is to deploy existing knowledge and new technological tools to assist industry in implementing more energy efficient technologies. We examine industrial energy consumption and identify energy recovery opportunities by analysing the data collected by multiple sensors. Partners : Automatique et Industrie, Probayes, LIRIS, NTN-SNR Roulements..
These last years, the increasing amount of geosciences data have lead to new promising applications. For example, the use of very high resolution satellite images now enables the observation of small objects. However, actual data analysis techniques suffer from the huge amount of complex data to process. Indeed, this environmental data is often heterogeneous, multi-scale, incomplete, and composed of complex objects. In this context, this computer science project aims at providing to geologists a semi-automatic and complete process for monitoring soil erosion.
Regional fundings and projects
Le rôle des états de vigilance dans la physiopathologie de la mémoire est une thématique majeure des neurosciences. Pour y répondre, il est indispensable de combiner des enregistrements intracérébraux multiples, avec d'autres paramètres comportementaux ou physiologiques durant les différents états de vigilance. L'analyse de ces données hétérogènes pose toutefois certains problèmes méthodologiques. Des approches de traitement des données et de classification ont été développées, en particulier au CRNL. Celles-ci reposent cependant sur l’analyse d’un nombre très limité de signaux, et étaient jusque là inadaptées à la problématique des 'Big Data', récente en neurosciences. Le LIRIS a développé récemment de nouvelles méthodes qui s’inspirent de la théorie spectrale des graphes et de modèles ensemblistes. Ces techniques ont été validées sur des données réelles de très grandes dimensions et pourraient être adaptées aux gros volumes de données cérébrales multidimensionnelles. Ces nouvelles approches de traitement des données sont non seulement essentielles pour comprendre le rôle cognitif des états de vigilance, mais aussi pour aider au diagnostic de nombreuses maladies neuropsychiatriques.Partenaires : DM2L (LIRIS) et l'Equipe Sleep (CRNL)
While it is generally agreed that the physicochemical characteristics of odorants affect the olfactory percept, no precise rules governing this 'chemical structure / odor' relation have yet been determined. One obstacle to this is the large number of dimensions – several thousand – needed to describe the molecules and, above all, a lack of data-processing methods suitable for this level of complexity. Our first objective will therefore make use of the 3 data-bases established as part of the Prevalolf project, correlating the multiple molecular characteristics (olfactory chemical space) to olfactory qualities (fruity, floral, woody, etc.: odor perception space). Methods taken from data mining producing descriptive rules are used to test the hypothesis that certain olfactory qualities, on which there is strong inter-subject agreement, can be predicted from the physicochemical properties of the odorant molecule. This project is executed with two groups of the LIRIS lab (DM2L and database group) as well as a CNRS laboratory in neursciences (CNRL).
Ronan Hamon is funded by the Region for preparing his PhD, studying the usage of the bike renting system Vélo'v in Lyon (Grand Lyon, JC-Decaux Cyclocity). Modeling the bike usage streams as dynamic attributed graphs, the goal is to understand the dynamics of the 7 millions bike rides that occurred in Lyon in 2011..
- Scientific approaches in mining software usages" (2009-2010), Bilateral project with Lithuania (Hubert Curien Gilibert partnership): this project includes the DM2L team and the software engineering department at the Institute of Mathematics and Informatics of Vilnius. It deals with aiding the design, the development and the evolution of software systems thanks to machine learning methods which enable the extraction of knowledge from large datasets.
- Inductive Queries for Mining Patterns and Models - IDQ (2005-2008), European Contract FP6-516169 by the Future and Emergent Technologies arm of the IST programme FET-Open scheme (FP6): It focuses on the concept of inductive querying, i.e., the formalization of knowledge discovery processes as sequences of queries. This project is the follow-up of the successful IST FET project CINQ (FP5 IST 26469) which was already dedicated to the inductive database framework.
- Bases de données inductives pour la génomique 2 (2008-2010), ANR BINGO2: BINGO2 follows the ACI "Masse de données" Bingo. Its expanded name is "Knowledge discovery For and By Inductive queries in post-genomics applications". Its coordinator is Bruno Crémilleux de l'Université de Caen (GREYC UMR 6072). The other partners are University of Saint-Etienne (LHC UMR 5516) and CGMC (UMR 5534).
- Mappings, Adaptation, Plasticity and Spatial computation (2007-2010), ANR Blanc MAPS: It is currently an ANR contract in the validation phase (selected by the "ANR Blanc 2007" programme). It might start soon (2007-2010). Its coordinator is Frédéric Alexandre from the CORTEX team at LORIA (INRIA Lorraine, Nancy). The other partners are "Laboratoire Mouvement et Perception" (LMP UMR 6152, Marseille) and "Institut de Neurosciences Cognitives de la Méditerranée" (INCM UMR 6193, Marseille).
- Bases de données inductives pour la génomique (2004-2007), ACI MD, BINGO project: It has been funded by ACI "Masse de Données". This project was a collaborative effort on different open problems when considering inductive databases for functional genomics. The coordinator was Bruno Crémilleux from the University of Caen (GREYC UMR 6072). Other partners were the University of Saint-Etienne (LHC UMR 5516) and CGMC (UMR 5534).
- Modélisation cellulaire multi-échelles (2004-2007), ACI IMPBio, MOCEME project: It has been funded by ACI "Informatique, Mathématiques et Physique pour la biologie". The aim was to propose individual-based model to investigate the disruption of the nucleolus during HSV-1 infection. Its coordinator was Guillaume Beslon (LIRIS, Lyon). Other partners were CGMC (University Lyon 1 and CNRS, Olivier Gandrillon) and Institut Camille Jordan (ICJ UMR 5208, Olivier Mazet).
- Dynamique des réseaux de neurones biologiquement plausibles (2003-2006), ACI NIC, DYNN project: The aim of project DYNN was to investigate the dynamical properties of spiking neurons assemblies and to propose architectures to use such assemblies to control mobile robots. It was funded by ACI "Neurosciences Integratives et Computationnelles". The coordinator was Manuel Samuelides (SupAero, Toulouse). Other partners were the University of Nice (INLN, Bruno Cessac), the University of Marseille (LPM, Emmanuel Daucé), the University of Cergy-Pontoise (ETIS, Mathias Quoy), and the University of Toulouse (CERCO, Simon J. Thorpes). The associated WWW site is http://www-sop.inria.fr/odyssee/contracts/aci-dynn/.
Regional and local
- Osteoporosis clinical data analysis with graphical models (2012-2014), IXXI Project Funded by the Institut des Systèmes Complexes IXXI in collaboration with INSERM 1033 Physiopathologie, Diagnostic et Traitements des Maladies Osseuses.
- PEACE, FINOVI Grant In 2008 we received a grant from the Research Advanced Network "Finovi" (Fondation Innovation en Virologie et Infectiologie). This grant supports the "PEACE" project which aim at conducting similar experimental evolution tests on an in silico platform (aevol) and on a real system (Legionella). This project is a collaboration with the "Laboratoire Adaptativité et Pathogénicitées Micro-organismes" (LAPM, Grenoble) and the "Laboratoire d'Informatique du Parallélisme" (LIP, Lyon).
- IXXI Projects IXXI denotes the "Institut Rhône-Alpin des Systèmes Complexes". Since the creation of the DM2L team, we have been selected for different project-initiation fundings. The obtained grant supports the construction of research projects entitled "In Silico Biology" (may 2007), "Velo'v" (may 2008), "Comparison of in silico evolution models" (october 2008) and "Parallel Experimental And Computational Evolution" (october 2009).
- Dynamic graphs analysis, Multidisciplinary LIRIS project This project aims at providing tool for graph analysis, with regards to two aspects: dynamic graphs and large graphs (in number of vertices, edges and/or large collections of graphs). This project, started in 2010 for 2 years is supervised by Christine Solnon (M2DisCo team).
- Temporal Dependency Discovery In Data Streams, Multidisciplinary LIRIS project with the Database group of the LIRIS Lab: This project supervised by Marian Scuturici and Marc Plantevit has started in 2011 for 2 years.