Dr. Seth Guikema

Dr. Seth Guikema is an Associate Professor in the Department of Industrial and Operations Engineering and the Department of Civil and Environmental Engineering at the University of Michigan as of August 2015. Prior to this, he was an Associate Professor in the Department of Geography and Environmental Engineering (DoGEE) at Johns Hopkins University. He is also an adjunct Professor II in the Department of Industrial Economics, Risk Management, and Planning at the University of Stavanger in Norway, and is a Senior Analyst with Innovative Decisions, Inc. in Vienna, VA.

His academic training includes a B.S. in Civil & Environmental Engineering (Cornell University), a M.S. in Civil & Environmental Engineering (Stanford University), a M.E. by thesis in Civil Engineering (University of Canterbury in New Zealand), a Ph.D. in Management Science & Engineering with a concentration in Engineering Risk & Decision Analysis (Stanford University), and a postdoctoral research position in Civil & Environmental Engineering (Cornell University). He began his faculty career at Texas A&M University in Civil Engineering and moved to DoGEE at JHU in 2008. He received tenure at JHU in 2014 and became the Carol Linde Croft Faculty Scholar there in 2015. He moved to the University of Michigan in August 2015. Seth is currently the Area Editor for Mathematical Modeling in the journal Risk Analysis, an Associate Editor for the ASCE Journal of Infrastructure Systems and is on the editorial boards of the journals Reliability Engineering and System Safety and Performability Engineering. He recently completed a three-year terms on the governing Councils of the International Society for Risk Analysis and the INFORMS Decision Analysis Society.

Dr. Guikema's research is highly interdisciplinary. Much of his group's recent work is focused on the problems of urban and infrastructure resilience and sustainability in a changing climate, though areas of application are broad. It is grounded in risk analysis, particularly data-drive risk analysis and complex systems simulation. One major topic is developing, testing, and implementing risk analysis methods based in Bayesian probability, statistical learning theory, game theory, and decision analysis. Another growing research thrust in the group is using modern simulation methods to more fully understand the role of human behavior in the evoluation of vulnerabiltiy and risk in hazard-prone regions. This work is a combination of theory and practice, spanning from new methods development, testing, and validation to close interactions with utilities to develop and implement new methods for estimating performance and risk to infrastructure systems from disasters.

Allison Reilly Profile Page

Allison C. Reilly is a post-doctoral researcher in the Industrial and Operations Engineering Department at the University of Michigan aftedr moving from the Department of Geography and Environmental Engineering at Johns Hopkins University where she was a postdoc. with Dr. Guikema. Her area of focus includes risk and network analysis, infrastructure systems and protection, and transportation. Prior to her work at Johns Hopkins, Dr. Reilly was an analyst at the Homeland Security Institute, a federally funded research and development center in Arlington, VA. Dr. Reilly completed her PhD in Civil Engineering and Infrastructure Systems in 2011 at Cornell University, in Ithaca, NY, under the advisement of Dr. Linda Nozick. She holds a MS in Civil Engineering, also from Cornell University, and a BS in Civil engineering from Johns Hopkins University.

Julie Shortridge Profile Page

Julie’s research focuses on adaptation to climate change and the accompanying issue of deep uncertainty, with a particular focus on water resource systems. She aims to address the question of how highly uncertain climate change projections can be incorporated into long-term management of natural and engineered water systems. She is interested using systems engineering methodologies, including risk and decision analysis, optimization, simulation, and statistical modeling, to address these issues.

Gina Tonn Profile Page

Gina started the PhD program in the Department of Geography and Environmental Engineering with over 12 years experience in Water Resources and Environmental Engineering. Her experience includes hydrologic and hydraulic modeling, flood studies, flood mitigation, stormwater design, water quality monitoring, and cost-benefit analysis. Her research interests include impacts of climate change to water resource systems and risk assessment and management for flooding and other natural hazards. Her dissertation research focuses on riverine flood analysis and mitigation in a changing climate.

Tom Logan Profile Page

Tom completed one year of PhD study at JHU and then moved to the University of Michigan with Dr. Guikema in 2015. His interests are in sustainable development, climate change mitigation and adaptation, nonlinear mathematics, network and graph theory, and data analytics. He plans on exploring methods of modelling cities and investigating mathematical tools with which to do so.

Elnaz Kabir

Elnaz is a first year Ph.D student in the Industrial and Operations Engineering department at the University of Michigan. Her interests are in the intersection of stochastic and robust optimization with data-driven predictive modeling for risk assessment and management. She is currently working on a project funded by the U.S. Forest Service, a project that is developing an improved ability to model urban tree risk during storms.

Thomas Chen Profile Page

Thomas is a currently a senior majoring in Environmental Engineering at Johns Hopkins University. His research is currently focused on modeling the probability of pipe breaks in drinking water systems.

    Sarah LaRocca

    Sarah is a Ph.D. student in the Department of Geography and Environmental Engineering where her focus is environmental systems engineering. Prior to attending Johns Hopkins, Sarah obtained her bachelor's degree from the University of North Carolina at Chapel Hill, where she studied environmental science and mathematics. Additionally, she spent two years working as an environmental scientist at RTI International, where she worked on several projects for the US EPA, as well as a lengthy nuclear facility siting project for an international corporation. Currently, Sarah's research is focused on developing and testing innovative methods for modeling the performance and reliability of interdependent infrastructure systems. More broadly, she is interested in the application of data mining and statistics, network theory, risk and decision analysis, and optimization to public sector problems. In 2010, Sarah was awarded a National Science Foundation Graduate Research Fellowship. Sarah spends her free time during college basketball season cheering for the Tar Heels!

    Beibei Lui

    Beibei LIU is a postdoctoral fellow of DOGEE at Johns Hopkins University as well as an assistant professor of School of the Environment at Nanjing University (China).She got her PhD in Environmental Planning and Management in Nanjing University (China) and visited Faculty of Economic Science, Goettingen University (Germany) as Guest Researcher and Erasmus Visiting Scholar. Her research interests include Energy/Environmental Policy Analysis, Sustainable Development, Environmental Analysis and Risk Analysis of Renewable Energy System. She has published more than 30 articles on peer-reviewed academic journals and conferences and works as the principal investigator of more than 10 projects.

    Jie Yang

    Jie Yang is an Associate Professor in the School of Environmental Science and Engineering at Suzhou University of Science and Technology. She received the Master and PhD degrees in Environmental Planning & Management from Nanjing University, China. She is a registered Environmental Impact Assessment Engineer on machinery and electronics industrial projects. She has been a part of the Guikema Research Group since February 2013 as a visiting scholar. Her research interests are risk perception, environmental risk assessment and management. Her current work is focused on NIMBY based on the public maximum acceptable risk level.