Dr. Yanlin Guo is a Assistant Professor in the Department of Civil and Environmental Engineering at Colorado State University (CSU). Her research expertise lies in the areas of real-time structural health monitoring (SHM), system identification and diagnosis, signal processing, structural dynamics and vibration, big data interpretation, remote sensing, as well as data-driven simulation and modeling of extreme winds. These research topics embrace the advances in monitoring, dynamics, modeling, hazard engineering and data science to help evaluate the health conditions of bridges, buildings and other infrastructure, provide quick decision-making support regarding operating, 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.

Research Interests:

Structural health monitoring (SHM), System identification and diagnosis, Remote sensing, Structural dynamics and vibration, Signal processing, Decision making, Big data analytics, Data-driven wind simulation


  • NEW! A PhD student position is available for Fall 2021 in Dr. Guo’s research group. Research topic is in the general area of wind engineering. If you are interested, please contact Dr. Yanlin Guo at Yanlin.Guo@colostate.edu for more information. -2020
  • Dr. Yanlin Guo was invited by Department of Transportation/Federal Highway Administration to give a webinar on November 5th, 2020, titled “Automating monitoring of changes in bridge condition: an integrated artificial intelligence (AI) and unmanned aerial vehicle (UAV) based inspection system”. -2020
  • Peer-reviewed paper by Ahsan Kareem, Liang Hu, Yanlin Guo, and Dae-Kun Kwon, titled “Generalized wind loading chain: time-frequency modeling framework for nonstationary wind effect on structures”, 2019 Best Journal Paper in the Structural Hazards category, Journal of Structural Engineering, 2020 -2020
  • Graduate student Brandon J. Perry has been awarded the 28th Annual Outstanding Student of the Year Award by U.S. Department of Transportation (USDOT) for his work on improving bridge inspections with the assistance of unmanned aerial vehicles and machine learning techniques. -2019
  • Graduate student Brandon J. Perry has been selected to receive a $5,000 Walter Scott, Jr. Graduate Fellowship. -2019