Mate Thitisawat graduated from Chulalongkorn University (Bangkok, Thailand) with a professional degree (B.Arch) before receiving his Master’s degree (M.S.) from Georgia Institute of Technology. Currently, he is a Ph.D. candidate in the Building Technology Program at the College of Architecture, Georgia Institute of Technology. His research interests include building simulation, energy efficient building design, outdoor comfort, daylighting, design optimization, building control systems, building information model (BIM), and performative parametric design. His dissertation topic is “Techno-Economic Optimization of Smart Double-Skin Façade (SDSF) Systems.” This study deals with a collaborative design process through a configuration optimization of the systems by using Multi-Objective Genetic Algorithms (MOGA) based on Pareto optimality. He has published his work on the SDSF systems and daylighting with his advisor (Professor Godfried Augenbroe) and colleagues in conferences and journals.
As a team leader, he has won awards for a funding proposal and an international design competition. He has received the first prize of 2008 ARCC Incentive Fund Award from Architectural Research Centers Consortium to conduct a research project titled “Designing for Outdoor Comfort in a Subtropical Environment: Assessment and Criteria for Outdoor Comfort”. In addition, he won fourth place in the first and second round of Bahamas Design Challenge.