Votre navigateur est obsolète !

Pour une expériencenet et une sécurité optimale, mettez à jour votre navigateur. Mettre à jour maintenant

×

Matthieu CANAUD

Data scientist - Statistician: Applied Mathematics and Statistics PhD

Matthieu CANAUD
41 years old
Driving License
Lyon Area France
Professional Status
Employed
Unavailable
About Me
Sportsman who like data and figures
Resume created on DoYouBuzz
  • Machine learning
  • Deep learning
  • Text and web mining
  • Big Data
  • IoT
  • ECOSTAND: Coordination Action for creating a common assessment methodology and joint research agenda with Japan and the USA on ITS applications focusing on energy efficiency and CO2 reduction
  • QUATTRO: Quality Assessment of Travel Times for Traffic Operation and Information Services
  • OPTIMUM: Optimised ITS-based Tools for Intelligent Urban Mobility Project
  • SATIE: Supporting European large scale actions for transport-ICT
  • NEARCTIS: A Network of Excellence for Advanced Road Cooperative traffic management in the Information Society
  • COST Action TU0702: Real-Time Monitoring, Surveillance and Control of Road Networks under Adverse Weather Conditions. 2008-2012
  • ISpace&Time: A 4D City-GIS on the web - A convergence between mapping, sensor web, immersive reality, animation and simulation technologies
  • Co-Drive: Co-pilot for an Intelligent Road and Communicating vehicles
  • INTRALYS: Traffic state estimation from taxi fleet in Lyon
  • ARCHIPEL: A web server application for data assimilation and fusion from traffic data multiple sources
  • OS: Unix, Windows, Linux
  • Programming: C/C++, Fortran, Java and Visual Basic, SQL
  • Scientific tools: Matlab, Scilab, R, SAS, Statgraph, Visual, Comsol, AMESim, PostgreSQL and Quantum GIS
  • Soft: Good skills in Microsoft Office, OpenOffice and Latex
  • M.S and B.S students supervision and teaching in ENTPE
  • French: Mother tongue
    Expert
  • English: Fluent
    Advanced
  • Italian: Fluent
    Intermediate
  • Stastical analysis of traffic data
  • Sensitivity analysis of models
  • Data quality and associated metrics
  • Kinetic approach for emission estimation
  • Data fusion
  • Data assimilation porcess fro traffic state estimation: particle filtering, PHD filtering
  • Travel Time prediction and reliability
  • Dynamic OD matrix estimation