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    Stéphan PLASSART

    About me

    Stéphan Plassart is an Associate Professor (Maître de Conférences) in computer science at University Savoie Mont-Blanc at the Listic laboratory, France. Before that, he spent three years as a postdoc researcher in the LCA2 team of Prof. Jean-Yves Le Boudec at EPFL in Lausanne, Switzerland. He hold an engineer's degree (equiv. Master of Science in Engineering) from Grenoble-INP ENSIMAG and a PhD from Université Grenoble Alpes, France, entitled “online energy optimization on real-time system”. This Phd was jointly done at LIG and at Inria Grenoble under the supervision of Bruno Gaujal and Alain Girault. His research interests include energy optimization, network calculus for Time-Sensitive Network (TSN), Markov decision process, learning, energy-aware distributed system and real-time systems.

    PhD supervision

    • 2024 - : Andrew Mary-Huet-De-Barochez, lab. Listic, USMB, Annecy, co-director (50% with Sébastien Monnet)
      Subject : "Towards sustainable and resilient AI: frugal and energy-aware distributed machine learning platforms"

    Main publications

    • Equivalent Versions of Total Flow Analysis,
      S. Plassart, J.-Y. Le Boudec.

    • A Pseudo-Linear Time Algorithm for the Optimal Discrete Speed Minimizing Energy Consumption,
      B. Gaujal, A. Girault, S. Plassart, Discrete Event Dynamic Systems, Springer Verlag, 2021, doi = 10.1007/s10626-020-00327-9.

    • Discrete and Continuous Optimal Control for Energy Minimization in Real-Time Systems,
      B. Gaujal, A. Girault, S. Plassart, EBCCSP 2020, Sep. 2020, Krakow, Poland.

    • Dynamic Speed Scaling Minimizing Expected Energy Consumption for Real-Time Tasks,
      B. Gaujal, A. Girault, S. Plassart, Journal of Scheduling, Springer Verlag, 2020, doi = 10.1007/s10951-020-00660-9.

    • Feasibility of on-line speed policies in real-time systems,
      B. Gaujal, A. Girault, S. Plassart, Real-Time Systems, Springer Verlag, 2020, doi = 10.1007/s11241- 020-09347-y.

    • Exploiting Job Variability to Minimize Energy Consumption under Real-Time Constraints,
      B. Gaujal, A. Girault, S. Plassart. Source code

    Selected recent talks

    • April 2024, Dagstuhl seminar 24141 on network calculus, Dagstuhl, Germany
      Equivalent version of total flow analysis and SAIHU tool

    • January 2024, GDR RSD days, Strasbourg, France:
      Online optimization in dynamic real-time systems.

    • September 2022, WoNeCa2022, EPFL, Lausanne, Switzerland:
      Equivalent versions of Total Flow Analysis.

    • September 2020, EBCCSP2020, Krakow, Poland:
      Discrete and Continuous Optimal Control for Energy Minimization in Real-Time Systems.

    • June 2020, PhD Defense, UGA, Grenoble, France:
      Optimisation d’énergie en-ligne pour les systèmes temps-réels.

    • Mai 2020, EPFL, Lausanne, Switzerland:
      Saving Energy by Tuning Processor Speed in Real Time Systems.

    • November 2019, MSR2019, Angers, France:
      Choix de Vitesses pour la Minimisation de la Consommation d’Energie Hors-Ligne en O(n).

    • August 2017, Real-Time Summer School Poster, ETR’17, Paris, France:
      Sélection en ligne de la vitesse minimisant l’énergie dans les systèmes temps-réels.

    Research wordcloud

    Contact

      firstname.lastname@univ-smb.fr

      Université Savoie Mont Blanc,
      Laboratoire LISTIC, Polytech Annecy-Chambéry
      5 chemin de bellevue, Annecy-le-Vieux
      74 940 Annecy, France

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