About

Gaofeng Jia specializes in natural hazard risk assessment/mitigation, multi-hazard resilience of infrastructure systems, risk-informed decision making, surrogate modeling and machine learning (ML) for efficient analysis and design of complex engineering systems, multi-fidelity approaches for uncertainty quantification, modeling of aging and deterioration of infrastructure, as well as AI for automated condition assessment of civil infrastructure with the ultimate goal of enhancing infrastructure resilience.

His research brings together the versatility of generalized simulation-based approaches and the efficiency of AI and ML to address the challenges associated with solving complex engineering problems.

Jia earned his Bachelor's degree in Civil Engineering (2007) and Master's degree in Disaster Prevention and Mitigation (2009) from Beijing Jiaotong University, China. He obtained his PhD in Civil Engineering from the University of Notre Dame (2014). Prior to joining CSU, he worked as a postdoctoral research associate at the University of Notre Dame (2014-2015) and at the University of Illinois at Urbana-Champaign (2015-2016).