Dr. Jin Zhu is an assistant professor in the UConn Civil and Environmental Engineering Department. She holds a PhD degree in Civil Engineering and a Master’s in Public Administration. Her research focuses on addressing the resilience challenges in communities as complex socio-technical systems using interdisciplinary approaches at the intersection of engineering, science, and policy. She has expertise in using agent-based modeling and network analysis techniques to study dynamic behaviors and interdependencies among heterogeneous entities in complex systems and system-of-systems. Dr. Zhu participated in multiple federally funded research projects and is currently the principal investigator (PI/Co-PI) of research projects funded by the Construction Industry Institute (CII) and the US Department of Transportation. Dr. Zhu participated in the InCHIP Ideas Lab in summer 2019 and is the co-PI of a grant submitted to the Ideas Lab pilot project program.
The overall objective of my research program is to improve people’s quality of life through better planned, designed, and maintained civil infrastructure systems. On one hand, human health and well-being are significantly affected by buildings and civil infrastructures in the communities they live, work and recreate. On the other hand, in order to better build civil infrastructures, we need to take a holistic approach to understand people’s needs, behaviors, and preferences. InCHIP creates new scientific knowledge and theoretical frameworks in health behavior at multiple levels of analysis (e.g., individual, family, community, policy). My research is closely related to this goal in the context of human-civil infrastructure ecosystems.
PhD in Civil Engineering, Florida International University, 2016
Master in Public Administration, Florida International University, 2015
Zhu, J. and Mostafavi. A. (2018). Performance Assessment in Complex Engineering Projects Using a Systems-of-Systems Framework. IEEE Systems Journal, 12(1), 262-273.
Zhu, J., Manandhar, B., Truong, J., Ganapati, N. E., Pradhananga, N., Davidson, R., and Mostafavi. A. (2017). Assessment of Infrastructure Resilience in the 2015 Gorkha, Nepal, Earthquake. Earthquake Spectra, 33(S1), S147-S165.
Zhu, J. and Mostafavi. A. (2017). Discovering Complexity and Emergent Properties in Project Systems: A New Approach to Understanding Project Performance. International Journal of Project Management, 35(1), 1-12.
Zhu, J., and Mostafavi, A. (2017). Meta-Network Framework for Integrated Performance Assessment under Uncertainty in Construction Projects. ASCE Journal of Computing in Civil Engineering, 31(1), 04016042.
Zhu, J., and Mostafavi, A. (2014). A System-of-Systems Framework for Performance Assessment in Complex Construction Projects. Organization, Technology & Management in Construction: An International Journal, 6(3), 1083-1093. (Invited Paper from 2014 Project Management Symposium)
Orgut, R. E., Zhu, J., Batouli, M., Mostafavi, A., Jaselskis, E. (2018). Metrics That Matter: Core Metrics and Indicators for Improved Project Controls and Analytics. ASCE Journal of Construction Engineering and Management, 144(11), 04018100.
Li, D. Z., Zhu, J., Hui, E. C. M., Leung, Y. P., and Li, Q. M. (2011). An Emergy Analysis-Based Methodology for Eco-Efficiency Evaluation of Building Manufacturing. Ecological Indicators, 11(5), 1419-1425.
Wang, X. X., Zhu, J., Li, Q. M., and Deng, X. P. (2010). Analysis of Top 200 Design Firms in International Construction Market of 2008. Construction Economy, 2, 26-28. (In Chinese)
Chowdhury, S. and Zhu, J. (2019). Heterogeneous Network Flow Model for Optimized Restoration Planning of Interdependent Infrastructure System-of-Systems. ASCE International Conference on Computing in Civil Engineering, June 17-19, 2019, Atlanta, GA.
Chowdhury, S. and Zhu, J. (2019). Towards the ontology development for smart transportation infrastructure planning via topic modeling. 36th International Symposium on Automation and Robotics in Construction, May 21-24, 2019, Banff, AB, Canada.
Zhu, J., and Mostafavi, A. (2018). Enhancing Resilience in Disaster Response: A Meta-Network Analysis Approach. ASCE Construction Research Congress 2018, April 2-4, 2018, New Orleans, LA.
Zhu, J., and Mostafavi, A. (2017). Characterization of the Underlying Mechanisms of Vulnerability in Complex Projects using Dynamic Network Simulation. Winter Simulation Conference (WSC), December 3-6, 2017, Las Vegas, NV.
Zhu, J., Mostafavi, A., and Whyte J. (2017). Towards Systems Integration Theory in Megaprojects: A System-of-Systems Framework. Lean & Computing in Construction Congress, July 4-12, Heraklion, Crete, Greece.
Zhu, J., and Mostafavi, A. (2016). Dynamic Meta-Network Modeling for Integrated Project Performance Assessment under Uncertainty. ASCE Construction Research Congress, May 31-June 2, San Juan, Puerto Rico.
Orgut, R. E., Batouli, M., Zhu, J., Mostafavi, A., and Jaselskis, E. (2016). Metrics That Matter: Evaluation of Metrics and Indicators for Project Progress Measurement, Performance Assessment, and Performance Forecasting during Construction. ASCE Construction Research Congress, May 31-June 2, 2016, San Juan, Puerto Rico.
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