Christophe Picard ☕️
Christophe Picard

Associate Professor in Applied Mathematics

Grenoble INP - Ensimag
Laboratoire Jean Kuntzmann

I am an associate professor in Applied Mathematics at Grenoble INP - Ensimag. I perform my research in LJK (Laboratoire Jean Kuntzmann). I am a member of the EDP team in Partial Differential Equation.

My research interests include Scientific computing, High Performance Computing, Simulation and Modeling.

Education

  • PhD in Computer Science

    University of Houston

  • Engineering Degree in Applied Mathematics and Mechanics

    Enseirb-Matmeca (formerly Matmeca)

  • Master in Applied Mathematics

    Université Bordeaux 1

Experience

  1. Head of studies Grenoble INP - Ensimag

  2. Head M2 Master program in Applied Mathematics in Grenoble

  3. Head Mention Master Mathematics and Applications

  4. Chair ECMI Educational Committee

    ECMI has set up the ECMI Educational Committee with representatives from each participating university. This committee meets twice a year and is in charge of all educational activities.

  5. Member ECMI Educational Committee

  6. Chair of Persyval Lab research action MFA

    Based on high-level research laboratories present at Grenoble in Mathematics, Computer Science, Automatic Control, Signal Processing, and Hardware Architecture, Persyval-lab promotes a holistic approach for developing an ambitious scientific program focused on four research actions conducted by integrated multi-disciplinary small and effective teams.

    The research action “Mathematics: from Fundamentals to Applications” (MFA) aims at better understanding and optimizing the dynamic behavior of complex computational-physical systems.

  7. Head M1 Master program in Applied Mathematics in Grenoble

    Currently, applied mathematics is an area that provides many job opportunities, in industry and in the academic world. There is a great demand for mathematical engineers on topics such as scientific computation, big data analysis, imaging and computer graphics, with applications in many fields such as physics, medicine, biology, engineering, finance, environmental sciences .

  8. Deputy director of MaiMoSiNE

    MaiMoSiNE is an university structure which provides an interface for industrial engineers and scientists to communicate their needs, objectives and challenges, to university researchers

  9. Head of PDE Team @ LJK

    The Partial Differential Equations team is part of the MAD department (Deterministic Models and Algorithms) and gathers researchers in the area of modeling, analysis and scientific computing in strong interaction with other disciplines.

Education

  1. PhD in Computer Science

    University of Houston

  2. Engineering Degree in Applied Mathematics and Mechanics

    Enseirb-Matmeca (formerly Matmeca)

  3. Master in Applied Mathematics

    Université Bordeaux 1
📚 My Research
I am an associate professor in Applied Mathematics at Grenoble INP - Ensimag. I perform my research in LJK (Laboratoire Jean Kuntzmann) in the EDP team in Partial Differential Equation. I am interested in everything related to computation, from on specific hardware are performing on pseudo-real case, to numerical library and numerical methods.
Recent Publications
Jean-Baptiste Keck, Georges-Henri Cottet, Eckart Meiburg, Iraj Mortazavi, Christophe Picard (2020). Double-diffusive sedimentation at high Schmidt numbers: Semi-Lagrangian simulations.
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Christophe Picard (2019). Calcul haute performance. Data Science - Cours et exercices.
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Georges-Henri Cottet, Jean-Matthieu Etancelin, Franck Pérignon, Christophe Picard (2014). High order semi-Lagrangian particle methods for transport equations: numerical analysis and implementation issues.
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Jean-Matthieu Etancelin, Georges-Henri Cottet, Franck Pérignon, Christophe Picard (2014). Multi-CPU and multi-GPU hybrid computations of multi-scale scalar transport. 26th International Conference on Parallel Computational Fluid Dynamics.
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Abdoulaye Samaké, Vincent Chabannes, Christophe Picard, Christophe Prud’homme (2014). Domain decomposition methods in feel++. Lecture Notes in Computational Science and Engineering.
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