Faculty Profile

BIOGRAPHY

  • Ph.D., Civil Systems Engineering, University of California, Berkeley, 2014
  • M.S., Civil and Environmental Engineering, University of California, Berkeley, 2010
  • B.S., Civil and Environmental Engineering, University of California, Berkeley, 2008

Iris Tien joined the faculty in the School of Civil and Environmental Engineering at the Georgia Institute of Technology in 2014 after receiving her Ph.D. in Civil Systems Engineering from the University of California, Berkeley, in 2014. She received her M.S. in Civil and Environmental Engineering in 2010, and graduated High Honors with a B.S. in Civil and Environmental Engineering and a Minor in English in 2008 from UC Berkeley.

Tien has a unique interdisciplinary background that encompasses traditional topics of civil engineering, sensing and data analytics, stochastic processes, probabilistic risk assessment, and decision making under uncertainty. Her work on interdependent infrastructure systems modeling and analysis has twice won 1st Place Paper Awards in resilient critical infrastructure. Tien has been selected by the National Academy of Engineering to participate in three Frontiers of Engineering Symposia. She was also selected 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.

Tien’s work has been published in journals ranging from engineering to medicine, and is funded by both state and national agencies, including the National Science Foundation, Department of Homeland Security, Georgia Department of Transportation, U.S. Department of Transportation, and National Institute of Standards and Technology.

RESEARCH INTERESTS

  • Probabilistic methods for modeling and reliability assessment of civil infrastructure systems
  • Stochastic processes
  • Risk analysis
  • Structural and infrastructure health monitoring
  • Sensing and data analytics, signal processing, machine learning
  • Decision making under uncertainty

HONORS & AWARDS

  • 2017 Smart Cities Fellow, Serve-Learn-Sustain, Georgia Institute of Technology
  • 2016 Bill Schutz Junior Faculty Teaching Award, School of Civil and Environmental Engineering, Georgia Institute of Technology
  • 2016 Paul A. Duke GIFT Action Plan Achievement Mentor Award
  • 2016 Invited Panelist, Government-University-Industry Research Roundtable (GUIRR) on Critical Infrastructure Security, National Academy of Engineering
  • 2015 Selected Participant, National Academies Arab-American Frontiers of Science, Engineering, and Medicine Symposium: Frontiers of Sensor Science, National Academies and KAUST
  • 2015 Invited Panelist, Food-Energy-Water Nexus Workshop, NSF and AIChE
  • 2015 Invited Participant, Workshop on Life-Cycle Performance of Civil Structure and Infrastructure Systems, Structural Engineering Institute, ASCE Headquarters
  • 2015 Selected Participant, National Science Foundation Early Career Investigators Workshop on Cyber-Physical Systems in Smart Cities
  • 2013 Paper Award, Probabilistic Methods Committee, ASCE Engineering Mechanics Institute
  • 2011 National Science Foundation Engineering Innovation Fellowship
  • 2010 National Science Foundation Graduate Research Fellowship
  • 2008 University of California Chancellor’s Fellowship for Graduate Study
  • 2004 University of California Regents’ and Chancellor’s Scholarship

RECENT PUBLICATIONS & PRESENTATIONS

ARTICLES
  • Saini, A., and Tien, I., “Methodology for Real-Time Prediction of Structural Seismic Risk Based on Sensor Measurements,” Structural Safety, Vol. 73, pp. 54-63, July 2018
  • Tien, I., “Resilient by Design: The Case for Increasing Resilience of Buildings and Their Linked Food-Energy-Water Systems,” Elementa: Science of the Anthropocene, Vol. 6, No. 18, pp. 1-12, 2018
  • Johansen, C., and Tien, I., “Probabilistic Multi-Scale Modeling of Interdependencies between Critical Infrastructure Systems for Resilience,” Sustainable and Resilient Infrastructure, Vol. 3, No. 1, pp. 1-15, 2018
  • Tien, I., and Der Kiureghian, A., “Reliability Assessment of Critical Infrastructure Using Bayesian Networks,” ASCE Journal of Infrastructure Systems, Vol. 23, No. 4, December 2017
  • Tong, Y., and Tien, I., “Algorithms for Bayesian Network Modeling, Inference, and Reliability Assessment for Multistate Flow Networks,” ASCE Journal of Computing in Civil Engineering, Vol. 31, No. 5, September 2017
PROCEEDINGS
  • Johansen, C., and Tien, I., “Modeling Interdependent Critical Infrastructure Systems Using Bayesian Networks,” 12th International Conference on Structural Safety and Reliability, Vienna, Austria, August 6-10, 2017
  • Saini, A., and Tien, I., “A Simulation-Based Approach for Localized Earthquake Early Warning,” 12th International Conference on Structural Safety and Reliability, Vienna, Austria, August 6-10, 2017
  • Saini, A., and Tien, I., “Assessing Structural Reliability Under Uncertainty of Changing Environmental Conditions,” 12th International Conference on Structural Safety and Reliability, Vienna, Austria, August 6-10, 2017
  • Johansen, C., and Tien, I., “Algorithm for Probabilistic Modeling of Interdependent Critical Infrastructure Systems,” Resilience Week, Chicago, IL, August 16-18, 2016
  • Johansen, C., and Tien, I., “Probabilistic Modeling of Interdependencies between Critical Infrastructure Systems for Resilience,” Engineering Mechanics Institute and Probabilistic Mechanics and Reliability Conference, Nashville, TN, May 22-25, 2016