Research
My primary research thrust revolves around effectively utilizing human-generated data, specifically harnessing crowdsourced information. My objective is twofold: Firstly, to advance our comprehension of community resilience and to facilitate informed decision-making and management strategies for natural disasters and unforeseen events. Secondly, to explore the interactions of humans, infrastructure, and climate change in urban environments, with a vision of contributing to a sustainable future. At the core of my research lies robust and data-driven frameworks encompassing cutting-edge techniques such as machine learning, deep learning, network analysis, and epidemic modeling. My research interest extends across several pivotal domains: computational simulations for infrastructure reliability, AI-enabled risk assessment and monitoring, and transforming education with AI.
Professional Services
- Journal Article Reviewer
- Natural Hazard and Risk Management: International Journal of Disaster Risk Reduction; Natural Hazard Review; Progress in Disaster Science
- Urban Planning: Sustainable Cities and Society; Cities; International Journal of Transportation Science and Technology
- Artificial Intelligence Technology: Intelligent Automation & Soft Computing;Computers, Materials & Continua, PeerJ Computer Science
- Higher Education: The Internet and Higher Education
- Conference Proceeding Reviewer
- 12NCEE National Conference on Earthquake Engineering
Online Media
- Our research work reported by Engineering at Maryland