Mathematics in Interaction with Computer Science (MICS)

Research Themes

Founded in the early 2000’s, MICS (former MAS) is the research laboratory in Mathematics and Computer Science at École Centrale Paris. Research at MICS is concerned with analyzing, modelling, simulating and optimizing complex systems, whether they come from an industrial environment, biosciences, financial markets, information technology or networks.

  • Plant Growth Modelling
    Modelling and estimating the plant dynamical system in its environment; formal grammar and symbolic methods; optimal control of culture and genetic improvement; multi-physic and multi-scale landscape simulation.
  • Partial Differential Equations and Scientific Computing
    Non-smooth fluid-structure interactions; dynamics of ecosystems; interface dynamics; massively parallel computing; GPU; asymptotic-preserving numerical schemes; nonlinear wave equations.
  • Formal methods in computer science and knowledge modelling
    Formal design of complex systems; ontologies, decisional and fuzzy logic for image interpretation; unified semantics for structured and unstructured data.
  • Business Intelligence (SAP Research Chair)
    Business intelligence; visual analytics.
  • Quantitative Finance (BNP-Parisbas Research Chair)
    Financial market modelling; market microstructure; high frequency data; econophysics; derivatives.
  • Probabilistic Modelling and Uncertainties (including INRIA project Regularity)
    Local regularity of stochastic processes; processes with prescribed regularity; set-indexed processes; ergodic theory; statistical properties of graphs; structured data.
  • Bio-Mathematics
    Mathematical modelling of in vivo cellular behaviour; DNA chips; epidemiology.

Applications

  • Industrial systems (aerospace, construction, energy, transportation); environment (plants, hydrology, landscapes, acoustics); life sciences (molecular biology, genetics, epidemiology); markets and companies (finance, capital markets, business intelligence); information technology and networks (internet, multimedia, knowledge management); art and architecture (colorimetrics, virtual reality).
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Director Frédéric Abergel Phone : 01 41 13 18 95 Email : frederic.abergel@centralesupelec.fr Personal Assistant Sylvie DERVIN Phone : 01 41 13 17 11 Email : sylvie.dervin@centralesupelec.fr

Main academic
PARTNERS

INRIA, CEA, ENS Cachan, École Polytechnique, INRA, CIRAD, Université Paris XI, Université Versailles Saint-Quentin, LIAMA, Université de Montréal, ENSI Tunis, Saha Institute of Nuclear Physics, Institut Louis Bachelier, Supélec.

Main Industrial
Partners

BNP Paribas, SAP, Alcatel, Bionatics, Bull, GDF-Suez, Institut Pasteur, CS-SI, Dassault Aviation, EDF, ESI, France Télécom, KXEN, Myosix, Renault, Thales.

Competitiveness clusters: System@tic, Finance Innovation, Cap Digital

Technopole: TERATEC

Key Figures

  • Faculty researchers and researchers: 21
  • Administrative and technical staff: 9
  • Doctoral students: 37
  • Postdocs: 10
  • Publications in international refereed journals (source: Web of Science): 26
  • Value of research contracts signed (in addition to chairs): €827 000

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