Human-AI Decision Intelligence
Studying how humans and AI systems can jointly make decisions, calibrate trust, and adapt to uncertainty in complex environments such as inspection, control, and emergency response.
Our Research
Data-Driven Safety and Diagnostics
Building explainable and predictive models for anomaly detection, sensor validation, and fault diagnosis across nuclear, transportation, and manufacturing infrastructure.
Knowledge Representation and Reasoning
Using knowledge graphs, ontologies, and procedural modeling to capture expert knowledge, interpret regulations, and support automation in infrastructure operations.
Immersive Learning and Workforce Augmentation
Designing VR-based simulations, AI avatars, and digital twins to transfer tacit knowledge, enhance training, and support performance in high-risk, skill-intensive domains.
We work at the intersection of human cognition, AI systems, and infrastructure engineering. Our projects span nuclear safety, transportation, construction, and remote operations—bridging data, knowledge, and immersive technologies to build safer and smarter infrastructure systems.
Our Research Projects
Trustworthy Civil Bridge Inspection Through Human-Machine Intelligence Integration
Enhancing human-AI collaborative decision-making for operators in manufacturing
Towards Data-Driven and Continuous Safety Inspection of Commercial Trucks and Trailers
Data-driven failure mode identification for continuous safety monitoring and efficient operation of commercial trucks and trailers.
Human Systems Engineering for Remote Operations of Automated Nuclear Microreactors
Human-systems engineering for effective remote operation, monitoring, and decision support in automated nuclear microreactors.
