Contact

Email :
Phone number : +33 (0)6 49 45 51 06

Google Scholar

ResearchGate

230 Rue Roland Garros
29490 Guipavas

Research team

Engineering and Numerical Tools

Research themes

  • Building simulation and performance analysis
  • Occuapancy modeling
  • Building energy and comfort management
  • Intelligent Buildings

Educational activities

  • Disciplines  : Thermodynamics, Thermal Engineeering, Electrical Circuits, Analog and Digital Electronics, Applied Mathematics
  • Level  : Engineers 1st and 2nd year, masters

Background

  • PhD
    Université de Bretagne Occidentale, 2021
    On energy-efficient buildings: hybrid dynamic modeling for analysis and control
  • Masters
    Grenoble INP – ENSE3, Grenoble, 2017
    Speciality: Smart grids and Smart buildings

PhD supervision

  • Chinmayi Kanthila, “Towards a global, systemic approach for a sustainable, intelligent and energy autonomous building”, UBO/UMR CNRS 6027 IRDL – CESI/LINEACT, defense planned in 2024.
  • Khalil Al Sayed, “Self-aware intelligent Building Energy Management System (iBEMS) for energy-efficient smart buildings: In semi-automated and fully automated scenarios”, defense planned in 2025.
  • Geoffrey Bourgoin, “Towards modeling the impact of occupancy on the energy behavior of intelligent buildings”, defense planned in 2026.

Scientific animation

  • Member of CESI LINEACT,
  • Member of IRDL, 2017 – 2021

Publications

Synthesis (2018-2024)

  • ACL : 6
  • C-ACTI : 7

Selected publications

  • C. Kanthila; A. Boodi, K. Beddiar, Y. Amirat, and M. Benbouzid, “Building Occupancy Behavior and Prediction Methods: A Critical Review and Challenging Locks,” IEEE Access, vol. 9, pp. 79 353–79 372, 2021. DOI: https://doi.org/10.1109/ACCESS.2021.3083534
  • Boodi, A.; Beddiar, K.; Amirat, Y.; Benbouzid, M. Simplified Building Thermal Model Development and Parameters Evaluation Using a Stochastic Approach. Energies 2020, 13, 2899. DOI: https://doi.org/10.3390/en13112899
  • Boodi, A., Beddiar, K., Amirat, Y., & Benbouzid, M. (2022). Building thermal-network models: A comparative analysis, recommendations, and perspectives. Energies, 15(4), 1328.
  • Boodi, A., Beddiar, K., Benamour, M., Amirat, Y., & Benbouzid, M. (2018). Intelligent systems for building energy and occupant comfort optimization: A state of the art review and recommendations. Energies, 11(10), 2604.
  • Kanthila, C., Boodi, A., Beddiar, K., Amirat, Y., & Benbouzid, M. (2023, October). Occupancy Prediction in Buildings Using Cascaded LSTM Model. In IECON 2023-49th Annual Conference of the IEEE Industrial Electronics Society (pp. 1-6). IEEE.
  • Al Sayed, K., Boodi, A., Broujeny, R. S., & Beddiar, K. (2023, October). Reinforcement Learning for Optimal HVAC Control: From Theory to Real-World Applications. In IECON 2023-49th Annual Conference of the IEEE Industrial Electronics Society (pp. 1-6). IEEE.
  • Soufi, A., & Boodi, A. (2023, September). Investigation of Input Feature Combinations Considering Occupant Behavior for Modelling Indoor Air Temperature in a Classroom. In BS 2023 (Vol. 18, No. 2522-2708).
  • Boodi, A., Beddiar, K., Amirat, Y., & Benbouzid, M. (2019, October). Model predictive control-based thermal comfort and energy optimization. In IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society (Vol. 1, pp. 5801-5806). IEEE.