SADEGHIAN Roozbeh

Équipe de recherche

Ingénierie et Outils numériques

Thèmes de recherche

• Systèmes de gestion de l'énergie dans les bâtiments, 
• Modélisation des processus dans les bâtiments, 
• Intelligence ambiante, 
• Bâtiments et villes intelligents.

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Activités pédagogiques

• Disciplines : Data science, IA , Electronique analogique, Physique et Applications, Informatique industrielle, Projet, Automatique (pour la gestion de l’énergie dans un bâtiment)
• Niveau : Doctorants, Masters, Ingénieurs,  licence,

Programmes de recherche en cours

• Prévision de la consommation d’énergie dans les bâtiments par des techniques d’IA
• Performance énergétique dans les bâtiments et les villes intelligents

Animation scientifique et vie de laboratoire

• Membre de LINEACT, 2021-
• Membre de LISSI, 2016-2020

 

Encadrement de thèses

Khalil Al Sayed – Self-aware intelligent Building Energy Management System (iBEMS) for energy-efficient smart buildings: In semi-automated and fully automated scenarios

Arthur Lecrus – Improving the Quality of Indoor Environments in Intelligent Buildings: Application to the prediction and control, by Artificial Intelligence, of air pollution in healthcare establishments

Publications sélectionnées

• K. Al Sayed, A. Boodi, R. Sadeghian Broujeny and K. Beddiar, « Reinforcement Learning for Optimal HVAC Control: From Theory to Real-World Applications, » IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, Singapore, 2023, pp. 1-6, doi: 10.1109/IECON51785.2023.10312131.
• Sadeghian Broujeny, R.; Ben Ayed, S.; Matalah, M. Energy Consumption Forecasting in a University Office by Artificial Intelligence Techniques: An Analysis of the Exogenous Data Effect on the Modeling. Energies 2023, 16, 4065. https://doi.org/10.3390/en16104065
• R. Sadeghian Broujeny, K. Madani, A. Chebira, V. Amarger, and L. Hurtard, A Heating Controller Designing Based on Living Space   Heating Dynamic’s Model Approach in a Smart Building. Energies 2021, 14, 998. https://doi.org/10.3390/ en14040998
• R. Sadeghian Broujeny, K. Madani, A. Chebira, V. Amarger, and L. Hurtard, “Data-Driven Living Spaces’ Heating Dynamics Modeling in Smart Buildings using Machine Learning-Based Identification,” Sensors, vol. 20, no. 4, p. 1071, Feb. 2020 [Online]. Available: http://dx.doi.org/10.3390/s20041071
• R. Sadeghian Broujeny, K. Madani, A. Chebira, V. Amarger and L. Hurtard, « A Machine-Learning Based Approach for Data-Driven Identification of Heating Dynamics of Buildings’ Living-Spaces, » 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Metz, France, 2019, pp. 197-202, doi: 10.1109/IDAACS.2019.8924329
• R. Sadeghian Broujeny, K. Madani, A. Chebira and L. Hurtard, « A multi-layer system for smart-buildings’ functional and energy-efficiency awareness: Implementation on a real five-floors building, » 2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST), Taichung, 2017, pp. 87-92, doi: 10.1109/ICAwST.2017.8256529