Yanlin Guo is an Associate Professor in the Department of Civil and Environmental Engineering and the Director of Center for Sustainable and Intelligent Transportation Systems at Colorado State University (CSU). Her research expertise lies in the areas of mitigation of wind and compound (e.g., concurrent hurricane wind and surge) hazards in built environment, real-time structural health monitoring (SHM), data-and-physics integrated simulation and modeling of extreme winds and wind effects on structures, remote sensing using computer vision, system identification, and structural dynamics. These research topics embrace the advances in natural hazard engineering, modeling, monitoring, dynamics and data science to help evaluate the conditions of buildings, transportation and energy infrastructure, provide quick decision-making support regarding emergency response, maintenance or retrofitting, etc., and ultimately improve the life-long performance and resilience of structures subjected to both in-service loadings and multiple hazards. Dr. Guo completed her undergraduate studies in Civil Engineering at the Southeast University in Nanjing, China in 2007 and obtained her Master of Philosophy degree in Civil Engineering from the Hong Kong Polytechnic University in 2010. Later she received her Ph.D. degree in Civil Engineering from the University of Notre Dame in 2015. Prior joining CSU, Dr. Guo worked as a Postdoctoral Research Associate at the University of Notre Dame.
We are seeking a motivated PhD graduate research assistant to join an intellectually exciting and socially impactful sponsored research project in the Colorado State University Department of Civil and Environmental Engineering. Damage due to wind and concurrent hazards during hurricanes can be catastrophic to urban buildings. The risks of hurricane-induced damage may evolve due to climate change. The overall goal of this study is to develop new methodologies to assess these evolving risks to improve the lifetime performance of urban buildings in hurricanes and enhance resilience of coastal urban communities. Based on the developed methodologies, this study will develop a user-friendly, cloud-based online application for engineers and resilience planners to quickly evaluate the changing risks of an inventory of buildings at urban scales.
