About Me
I am currently a Postdoctoral Fellow in the laboratory of Prof. Ioannis Brilakis at the University of Cambridge, where I am conducting research on Human-Machine Interaction (HMI) for built infrastructure management through generative AI-driven multi-agent DTs (digital twins) and human-centered reinforcement learning. This work focuses on developing solutions that foster both emotional and physical trust between humans and AI-driven DT systems, enabling more effective infrastructure operation and management. In parallel, my research also focuses on spatial-temporal modelling of GIS data and graph theory-based uncertainty quantification to ensure the trustworthy use of built infrastructure condition data in routine operations through DTs. These projects are carried out in collaboration with leading UK construction and technology companies, including Jacobs, Trimble, and TRL Software, as well as the UK Department for Transport, under the National Digital Twin Programme (NDTP). As the Principal Investigator, my current research is funded by the EU Marie Skłodowska-Curie Actions, with a total funding allocation of $229,067 (grant success rate: 14%).
Before my postdoctoral position, I completed my Ph.D. at West Virginia University under the supervision of Prof. Fei Dai. My Ph.D. research focused on developing DT-based solutions that integrate AI, computer vision, and smart sensors for intelligent, whole-life highway infrastructure management. Specifically, I worked on two major fronts: 1) advancing automated road construction quality control by leveraging intelligent mobile sensors (infrared thermograph and UAVs) in combination with computer vision and AI algorithms, and 2) enabling automated digitalization of road infrastructure and fine-grained traffic data using surveillance camera networks, UAVs, and AI-driven computer vision methods to support intelligent transportation infrastructure management. Some of the developed solutions (U.S. patented) have been successfully deployed for quality control during the construction of roads I-79S, I-68E, and US-50W in West Virginia, and for automated vehicle-infrastructure collision warning on road I-68 in Pennsylvania.
Research Framework
Current Research (Human-Infrastructure DT Interaction)
Current Research (Human-Machine Trust Study)
Research Interests
- Human-Machine Interaction for Built Infrastructure Management
- Generative AI-based Multi-Agent System for Digital Twin Application
- Trustworthy Artificial Intelligence for Engineering Applications
- Intelligent Sensing and Construction Automation
- Infrastructure Computer Vision and Machine Learning
- Spatial-Temporal GIS Data Modeling and Analytics