Qiang Li, Ph.D., is an associate professor in the School of Civil Engineering at NingboTech University. He also holds administrative roles as Deputy Director of the Academic Affairs Office and the Center for Faculty Development, and Deputy Director of the Institute for Coastal Engineering Structures and Materials. He earned his Ph.D. in Structural Engineering from Zhejiang University in 2018. His primary research interests include low-altitude wind field safety, structural wind engineering, structural health monitoring and vibration control, digital twin technology, and smart construction and maintenance. Dr. Li has secured and led over ten significant research projects, including grants from the National Natural Science Foundation of China and key R&D programs in Ningbo, with total secured funding exceeding 3 million RMB. He has authored more than 30 SCI/EI-indexed journal articles and holds 20 authorized invention patents.

• Introduction.- Hybrid Data-Model Driven Theory.- Hybrid Data-Model Driven Prediction of Dynamic Response for Tower Cranes under Typhoons.- Real-Time Displacement Monitoring for High-Formwork Support Structures Using Computer Vision.- Hybrid Data-Model Driven Update of Warning Thresholds and Short-Term Response Prediction for High-Formwork Support Structures.- Conclusions and Prospects.

Qiang Li, Ph.D., is an associate professor in the School of Civil Engineering at NingboTech University. He also holds administrative roles as Deputy Director of the Academic Affairs Office and the Center for Faculty Development, and Deputy Director of the Institute for Coastal Engineering Structures and Materials. He earned his Ph.D. in Structural Engineering from Zhejiang University in 2018. His primary research interests include low-altitude wind field safety, structural wind engineering, structural health monitoring and vibration control, digital twin technology, and smart construction and maintenance. Dr. Li has secured and led over ten significant research projects, including grants from the National Natural Science Foundation of China and key R&D programs in Ningbo, with total secured funding exceeding 3 million RMB. He has authored more than 30 SCI/EI-indexed journal articles and holds 20 authorized invention patents.

• Introduction.- Hybrid Data-Model Driven Theory.- Hybrid Data-Model Driven Prediction of Dynamic Response for Tower Cranes under Typhoons.- Real-Time Displacement Monitoring for High-Formwork Support Structures Using Computer Vision.- Hybrid Data-Model Driven Update of Warning Thresholds and Short-Term Response Prediction for High-Formwork Support Structures.- Conclusions and Prospects.

Qiang Li, Ph.D., is an associate professor in the School of Civil Engineering at NingboTech University. He also holds administrative roles as Deputy Director of the Academic Affairs Office and the Center for Faculty Development, and Deputy Director of the Institute for Coastal Engineering Structures and Materials. He earned his Ph.D. in Structural Engineering from Zhejiang University in 2018. His primary research interests include low-altitude wind field safety, structural wind engineering, structural health monitoring and vibration control, digital twin technology, and smart construction and maintenance. Dr. Li has secured and led over ten significant research projects, including grants from the National Natural Science Foundation of China and key R&D programs in Ningbo, with total secured funding exceeding 3 million RMB. He has authored more than 30 SCI/EI-indexed journal articles and holds 20 authorized invention patents.

• Introduction.- Hybrid Data-Model Driven Theory.- Hybrid Data-Model Driven Prediction of Dynamic Response for Tower Cranes under Typhoons.- Real-Time Displacement Monitoring for High-Formwork Support Structures Using Computer Vision.- Hybrid Data-Model Driven Update of Warning Thresholds and Short-Term Response Prediction for High-Formwork Support Structures.- Conclusions and Prospects.