research about AI and computer programming in building structer

My name is Behrouz Zakeri and from Iran. Recently, I got my bachelor degree I civil engineering from Azad university in Damavand branch. During my course I was working as project manager in tree building construction projects and worked on different software for example AutoCAD, Revit mep, Etabs and SAP. Moreover, I have ten years of experience in reducing energy consumption in new buildings in my native country with BIM process and some software use it in our work but it wasn't sufficient and I had to use some computer programming skills like C#. Buildings consume about 40 % of globally-produced energy. A notable amount of this energy is used to provide sufficient comfort levels to the building occupants. Moreover, given recent increases in global temperatures as a result of climate change and the associated decrease in comfort levels, providing adequate comfort levels in indoor spaces has become increasingly important. However, striking a balance between reducing building energy use and providing adequate comfort levels is a significant challenge. Conventional control methods for indoor spaces, such as on/off, proportional-integral (PI), and proportional-integral-derivative (PID) controllers, display significant instabilities and frequently overshoot thermostats, resulting in unnecessary energy use. Additionally, conventional building control methods rarely include comfort regulatory schemes. Consequently, I am patient about research efforts have focused on the use of advanced artificial intelligence (AI) methods to optimize building energy usage while maintaining occupant thermal comfort. I am interested in focus on thermal comfort predictive models using diverse machine learning (ML) algorithms and their deployment in building control systems for energy saving purposes.