The research in Professor Guikema’s research group is focused on issues of resilience, risk, sustainability, and equity, particularly in areas prone to significant natural hazards. One particular focus area is on developing predictive models for estimating the impacts of natural hazards on infrastructure system performance. Methodologically, the group’s research is grounded in and advances predictive machine learning, AI-enhanced learning, risk analysis, agent based modeling, stochastic simulation, and decision analysis. Our work is a mix of developing and testing new methods and applying methods to better understand problems of societal importance. Much of what we do is strongly interdisciplinary. Recent work in the group has been funded by the National Science Foundation, Department of Energy, the Defense Advanced Research Projects Agency (DARPA), state transportation departments, electric power utilities, other industry partners, and internal University of Michigan organizations.
Seth Guikema
Professor of Civil and Environmental Engineering, College of Engineering
Professor of Industrial and Operations Engineering, College of Engineering
ML, AI, and Behavioral Modeling for Complex Systems
COntact
Methodologies
Data Mining / Ethics of AI and Data Science / Graph-Based Methods and Networks / Machine Learning / Simulation
Applications
Earth and Environmental Research / Engineering
Community Affiliation