Computing Long-term Daylighting Simulations from High Dynamic Range Photographs Using Deep Neural Networks

Yue Liu extensive research focused on rapid modeling of daylit environments. Her research goal was to improve the current lighting simulation technologies by increasing the efficiency and usability and demonstrate a multidisciplinary framework to apply machine learning in lighting simulation. Machine learning has been successfully applied to various fields, but it has not been utilized in the field of architectural lighting. She recognized the great potential to apply emerging data science technologies into building analysis. The Grant provided her the opportunity to purchase the equipment she needed and to attend conferences to share her research outcome, and receive feedback from lighting professionals.