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, signal processing, machine learning, probabilistic risk assessment, stochastic processes, and decision making under uncertainty. For her research work in developing Bayesian network methods for system modeling and reliability analysis, Tien was awarded the Paper Award from the ASCE Engineering Mechanics Institute Probabilistic Methods Committee in 2013. In addition, Tien has conducted research on wireless sensor networks in the monitoring of structures under seismic hazard as well as in gait analysis for the diagnosis of Parkinson’s disease​.

Tien’s work has been published in journals ranging from engineering to medicine, and is funded by both state and national agencies, including the Center for Information Technology in the Interest of Society, Georgia Department of Transportation, and National Science Foundation. Tien is a recipient of the Regents’ and Chancellor’s Scholarship, University of California Chancellor's Fellowship for Graduate Study, National Science Foundation Graduate Research Fellowship, and National Science Foundation Engineering Innovation Fellowship.

 

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., “Impacts of Climate Change on the Assessment of Long-Term Structural Reliability,” ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, in press
  • Tien, I., and Der Kiureghian, A., “Algorithms for Bayesian Network Modeling and Reliability Assessment of Infrastructure Systems,” Reliability Engineering and System Safety, Vol. 156, pp. 134-147, December 2016
  • Johansen, C., Horney, J., and Tien, I., “Metrics for Evaluating and Improving Community Resilience,” ASCE Journal of Infrastructure Systems, 2016
  • Tien, I., Pozzi, M., and Der Kiureghian, A., “Probabilistic Framework for Assessing Maximum Structural Response Based on Sensor Measurements,” Structural Safety, Vol. 61, pp. 43-56, July 2016
  • Tien, I., and Aminoff, M., “Using a Wireless Inertial Sensor System to Characterize Gait Abnormalities in Parkinson’s Disease,” Movement Disorders, Vol. 27, Issue Supplement S1, pp. S142, June 2012
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