Biography
Yen-Fang Su obtained his Ph.D. at the Lyles School of Civil Engineering, Purdue University, U.S.A. He has been conducted multidisciplinary artificial intelligence, structural and materials engineering-related research, including AI-guided infrastructure sensing methods, smart piezoelectric sensors, self-healing strain-hardening fiber-reinforced cementitious composites, large-scaled testing, and numerical modeling, for several years. His Ph.D. major research project has supported the Department of Transportation (DOT) in decision-making to determine the optimal traffic opening time for concrete construction by employing an AI-assisted sensing system he developed. The project was selected as one of the ASCE GameChanger projects in 2021. Prior to pursuing his Ph.D., he obtained his master’s degree in structural engineering and worked as a structural engineer for a few years. His ultimate research goal is to improve the resilience and sustainability of Next-Generation Intelligent Infrastructure.
Research
Smart sensors and innovative sensing approaches, machine learning and data processing, self-healing materials, strain-hardening cementitious composites, intelligence materials and infrastructure systems
