Welcome to
HAO Haiyan WEBSITE
Dr. HAO, Haiyan's research focuses on leveraging advanced analytics and computational approaches to empower human communities in addressing a wide range of social and environmental challenges—such as technological disruptions and extreme events—with the goal of contributing to smart and resilient urban development.
Dr. Hao's research was supported by multiple institutions and foundations including National Science Foundation (NSF), Natural Hazard Center (NHC), World Resource Institute (WRI), and National Science Foundation of China (NSFC). The research outcomes were published on several top-tier journals including Landscape and Urban Planning, Computers, Environment, and Urban System, Computers in Human Behavior, Engineering. To learn more about my research, please explore her Google Scholar profile.
Research Interest:
- applying AI techniques to support urban scenario planning and participatory planning.
- developing digital twin as a tool supporting public service, urban management, and urban planning.
- conducting data analyses to understand complex urban dynamics and phenomenon.
- exploring unequal technology innovations across social groups and geography, and developing strategies to mitigating the negative impacts.
(*: corresponding author)
Journal Publication (Selected)
Hao, H.*, Wang, Y., & Chen, J. (2024). Empowering Scenario Planning with Artificial Intelligence: A Perspective on Building Smart and Resilient Cities. Engineering.
Hao, H., & Wang, Y*. (2024). The emerging “evident” role of climatic risk on migration: a study of four US metropolitans. Climatic Change, 177(3), 36.
Hao, H., & Wang, Y.* (2023). Modeling Dynamics of Community Resilience to Extreme Events with Explainable Deep Learning. Natural Hazards Review, 24(2), 04023013.
Hao, H., Wang, Y.*, Du, L., & Chen, S. (2023). Enabling smart curb management with spatiotemporal deep learning. Computers, Environment and Urban Systems, 99, 101914.
Hao, H., & Wang, Y.* (2022). Disentangling relations between urban form and urban accessibility for resilience to extreme weather and climate events. Landscape and Urban Planning, 220, 104352.
Hao, H., Wang, Y.*, & Kang, S. (2022). Examining “digital” vulnerability to flooding among subsidized housing residents in Florida. International Journal of Disaster Risk Reduction, 82, 103302.
Hao, H., & Wang, Y*. (2021). Assessing Disaster Impact in Real Time: Data-Driven System Integrating Humans, Hazards, and the Built Environment. Journal of Computing in Civil Engineering, 35(5), 04021010.
Hao, H., & Wang, Y*. (2020). Leveraging multimodal social media data for rapid disaster damage assessment. International Journal of Disaster Risk Reduction, 51, 101760.
Wang, Y.*, Hao, H., & Platt, L. S. (2021). Examining risk and crisis communications of government agencies and stakeholders during early-stages of COVID-19 on Twitter. Computers in human behavior, 114, 106568.
Wang, Y.*, Hao, H., Wang, C. (2022). Preparing Urban Curbside for Increasing Mobility-on-Demand using Data-Driven Agent-Based Simulation: Case Study of City of Gainesville, Florida. Journal of Management in Engineering.
Conference Publication (Selected)
Hao, H., & Wang, Y*. (2022) Smart Curb Digital Twin: Inventorying Curb Environments using Computer Vision and Street Imagery. 2nd Annual International Conference on Digital Twins and Parallel Intelligence (IEEE DTPI 2022). Boston, U.S.
Hao, H., Wang, Y.*, & Wang, Q. (2022) Simulating Urban Population Activities under Extreme Events with Data-Driven Agent-Based Modeling. 2022 ASCE’s Construction Institute and Construction Research Council. Arlington, VA; March 9-12, 2022.
Hao, H., Wang, Y.*. (2020). Hurricane Damage Assessment with Multi-, Crowd-Sourced Image Data: A Case Study of Hurricane Irma in the City of Miami. In 17th International Conference on Information Systems for Crisis Response and Management (pp. 825–837). Blacksburg, VA (USA): Virginia Tech.
Please check my google scholar site for the full list of publication: https://scholar.google.com/citations?user=G2_Cs-cAAAAJ&hl=en
