Mahdi Valitabar

Mahdi Valitabar is currently pursuing his PhD at the Queensland University of Technology. His research focuses on Personalized Environmental Control Systems (PECS) designed specifically for shared offices. His expertise extends to Energy/Daylight performance simulation and the creation of novel Adaptive facades. His aim is to improve employee visual comfort in an energy-efficient manner. By leveraging Machine learning, Computational design techniques, and Pervasive data collection, Mahdi’s research revolves around developing AI-powered PECS solutions.