Prof. Liang's research focuses on health monitoring and autonomous inspect (e.g. using drones) through advanced data analytics, model-based and machine learning. He is interested in using these developments for infrastructure systems (especially aging critical regional transportation infrastructures beyond initial design period of use) and buildings to enable their sustainability and resilience under service and extreme events. My research interests also include perofrmance-based methodologies for hazard resilience, nonlinear structural dynamics, earthquake engineering and human-robot collaboration for future remanufacturing. 

• Post-Disaster Damage Assessment of Bridge Systems (USDOT UTC Region 2)
• FW-HTF-RL: Collaborative Research: The Future of Remanufacturing: Human-Robot Collaboration for Disassembly of End-of-Use Products (NSF)
• FW-HTF-P:Human-Robot Collaboration in Disassembly for Future Remanufacturing (NSF)
• Delivering Maintenance and Repair Actions via Automated/Robotic Systems (USDOT UTC Region 2)