Iris Tien
Professor, School of Civil and Environmental Engineering
Williams Family Professor
BBISS Strategic Initiative Lead for State Engagement

Dr. Iris Tien is Williams Family Professor in the School of Civil and Environmental Engineering at the Georgia Institute of Technology. She joined the faculty in 2014 after receiving her Ph.D. in Civil Systems Engineering from the University of California, Berkeley. Dr. Tien’s research interests are in probabilistic methods for modeling and reliability assessment of civil infrastructure systems. Her research leverages her unique interdisciplinary expertise encompassing traditional topics of civil engineering, sensing and data analytics, stochastic processes, probabilistic risk assessment, and decision making under uncertainty. Dr. Tien’s research has been funded by the National Science Foundation, Department of Homeland Security, U.S. Department of Transportation, and National Institute of Standards and Technology. Her work on interdependent infrastructure systems modeling and analysis has twice won 1st Place Paper Awards in resilient critical infrastructure. Dr. Tien was selected by the National Academy of Engineering to organize the session on Resilient and Reliable Infrastructure at the U.S. Frontiers of Engineering Symposium; and speak on Community Resilience at the National Academies Frontiers of Science, Engineering, and Medicine Symposium. Dr. Tien was awarded the prestigious Early Achievement Research Prize by the International Association for Structural Safety and Reliability (IASSAR), and her published work has been recognized as Editor’s Choice Selection Papers in multiple journals, including the ASCE Journal of Infrastructure Systems, ASCE Journal of Water Resources Planning and Management, and the ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems.

itien@ce.gatech.edu
Phone
(404) 894-8269
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Civil and Environmental Engineering
Research Areas
Energy
  • Built Environment
  • Energy Systems, Grid Resilience, and Cybersecurity
  • AI Energy Nexus
  • Sustainable Communities
  • Energy and National Security
Sustainable Systems
  • Sustainable Cities and Infrastructure
Additional Research
  • probabilistic methods for modeling and reliability assessment of civil infrastructure systems
  • complex systems risk analysis
  • structural and infrastructure health monitoring
  • sensing and data analytics
  • signal processing, and machine learning
  • stochastic processes
  • decision making under uncertainty
  • smart cities
  • interdependent systems
  • resilient communities
  • smart Infrastructure
IRI/Group and Role
Energy > Research Community
Sustainable Systems > Initiative Lead