Profile

As a researcher and lecturer, I combine teaching, research, and scientific collaboration, exploring current challenges in emerging technologies.

Research Areas

  • Network Optimization:
    • Work on deterministic periodic flow scheduling in collaboration with Nokia Bell Labs France.
    • Development of academic and industrial projects to enhance communication network performance.
  • Smart Buildings:
    • Research projects on using physical and comfort data for sustainable building management.
    • Exploration of IoT and AI technologies to optimize user comfort and reduce energy consumption.
  • Predictive Maintenance:
    • Supervision of a Ph.D. project on reinforcement learning to predict failures in smart buildings.
    • Proposing innovative solutions despite the lack of historical data.

Career Path

Professional Experience

  • Since October 2021: Researcher and Lecturer at CESI
  • September 2021: ATER (temporary teaching and research assistant) at the Computer Science Department, UVSQ
  • June - July 2021: Research Engineer at the DAVID laboratory (in collaboration with the company DCBrain)
  • April 2018 - June 2021: Ph.D. candidate (CIFRE) between DAVID (UVSQ) and Nokia Bell Labs France
  • October 2016 - March 2018: Research Engineer at the DAVID laboratory
  • April - September 2016: Internship at Nokia Bell Labs France and the DAVID laboratory

Degrees

  • 2021: Ph.D. in Computer Science from the University of Paris-Saclay (UVSQ)
  • 2016: AMIS Master's degree (UVSQ)
  • 2014: Bachelor's degree in Computer Science (UVSQ)

Supervisions

  • Supervision of a Ph.D. candidate working on predictive maintenance for smart buildings.
  • Supervision of numerous Master's level interns on various topics (additive manufacturing, smart buildings, etc.).
  • Co-supervision of DUT (undergraduate) and Master's level interns in collaborative projects.
  • Regular participation in interdisciplinary research projects and support for students tackling real-world challenges.

Teaching

  • University-Level:
    • Data Structures and Algorithms: Undergraduate and Master's levels
    • Graph Algorithms: Undergraduate
    • Programming (C, Java): Undergraduate
    • Operating Systems: Specialized training for high school teachers
  • At CESI (Problem-Based Learning):
    • Operational Research: Generalist and Computer Engineering programs
    • Advanced Algorithms: Computer Engineering program
    • Programming Tools (C and Python): Embedded Systems Engineering
    • System Programming: Computer Engineering program

Publications

Journals

  • Pierre-Antoine Cormier, Quentin Laporte-Chabasse, Maël Guiraud, Julien Berton, Dominique Barth, Jean-Daniel Penot. Dataset of an operating education modular building for simulation and artificial intelligence. Data in Brief, Volume 57, 2024, 110889. Link to article.
  • Guiraud, M., Strozecki, Y. Scheduling periodic messages on a shared link without buffering. Journal of Scheduling 27, 461–484 (2024). Link to article.

Conferences

  • A. Hossini, L. Kloul, M. Guiraud, B. Cohen-Boulakia. Predictive Maintenance for Smart Buildings: Balancing QoS and Cost Efficiency. RAMS 2025.
  • A. Hossini, L. Kloul, M. Guiraud, B. Cohen-Boulakia. Adaptative Reinforcement Learning Approach for Predictive Maintenance of a Smart Building Lighting System. INDIN .
  • Maël Guiraud, Brice Leclerc, Olivier Marcé. An Experimental Platform for Hard TSN. IEEE 19th Annual Consumer Communications and Networking Conference (CCNC), 2022. Link to article.
  • Dominique Barth, Maël Guiraud, Yann Strozecki. Deterministic Contention Management for Low Latency Cloud RAN over an Optical Ring. Optical Network Design and Modelling, 2019.
  • Dominique Barth, Maël Guiraud, Brice Leclerc, Olivier Marcé, Yann Strozecki. Deterministic Scheduling of Periodic Messages for Cloud RAN. International Conference on Telecommunication, 2018.