Xu Xu

Assistant Professor

  • Phone: 919.513.7205
  • Office: 4351 Fitts-Woolard Hall

Headshot of Dr. Xu

Meet Dr. Xu Xu

 

He began his career as a postdoctoral research fellow at the School of Public Health at Harvard University. During this time, he gained valuable experience and deepened his knowledge in health-related research. His work at Harvard laid the foundation for his future efforts in safety and injury prevention. As a result, he transitioned to a faculty position at NC State University. After completing his postdoctoral work, Xu advanced his career as a research scientist at the Liberty Mutual Research Institute for Safety. In this role, he explored the intersection of biomechanics, safety, and injury prevention. Furthermore, his research earned multiple prestigious awards, including best paper and outstanding scientific contribution honors.

Xu’s research interests focus primarily on biomechanical modeling, optimization, simulation, and data mining. He investigates human daily activities, with particular emphasis on workplace and at-home injury prevention, as well as driving safety. By applying advanced modeling techniques and computational tools, Xu aims to better understand the risks associated with common physical activities. Consequently, his goal is to improve safety and reduce injuries in various settings, from home environments to workplaces and on the road.

Throughout his career, Xu has made substantial contributions to scientific literature. He has authored or co-authored over forty journal articles, all exploring the complexities of biomechanics and safety in daily life. His work goes beyond theoretical contributions and provides practical applications in safety engineering and injury prevention. Additionally, Xu’s research continues to influence both the academic community and industries focused on health and safety. This has established him as a leading researcher and scholar in his field.

Ongoing Research

Xu is actively involved in ongoing projects within the Industrial Engineering department at North Carolina State University. For more information about his specific projects, visit the department’s project page or explore related research through the National Science Foundation. As a result, his work continues to shape the future of injury prevention and safety in both research and industry settings.

 

Meet him: ISE Welcomes New Faculty
 
Visit the Biomechanics Lab

Publications

Exploring the integration of large language models in human-robot collaboration: Effects on performance, mental stress, and trust
Su, B., Cheng, F., Lu, L., Qing, L., Jung, S. H., & Xu, X. (2026, January 20), Applied Ergonomics. https://doi.org/10.1016/j.apergo.2026.104736
Toward a Fully Automated NIOSH Lifting Equation Using Computer Vision
Jung, S. H., Qing, L., Su, B., & Xu, X. (2026, January 28), Human Factors The Journal of the Human Factors and Ergonomics Society. https://doi.org/10.1177/00187208261418858
Effects of anthropomorphic features of co-robots on users’ perception and emotional responses during human–robot collaboration
Lu, L., Su, B., Jung, S., Qing, L., & Xu, X. (2025, May 2), Ergonomics, Vol. 4. https://doi.org/10.1080/00140139.2025.2497523
Enhancing Data Privacy in Human Factors Studies with Federated Learning
Su, B., Qing, L., Lu, L., Jung, S. H., Fang, X., & Xu, X. (2025, June 6), Human Factors The Journal of the Human Factors and Ergonomics Society, Vol. 6. https://doi.org/10.1177/00187208251348025
Leveraging Transfer Learning to Enhance Generative Postural Variability for Ergonomics
Qing, L., Jung, S., Su, B., Wan, H., & Xu, X. (2025, September 1), Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol. 9. https://doi.org/10.1177/10711813251370735
Toward Full Automation of the Revised NIOSH Lifting Equation
Jung, S. H., Qing, L., Su, B., & Xu, X. (2025, August 25), Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol. 8. https://doi.org/10.1177/10711813251366288
Human–Robot Collaboration in Occupational Settings : An Introduction to the Special Issue
Lim, S., Hsiao, H., & Xu, X. (2024), IISE Transactions on Occupational Ergonomics and Human Factors, 4. https://doi.org/10.1080/24725838.2023.2339620
Exploring the impact of human-robot interaction on workers' mental stress in collaborative assembly tasks
Su, B., Jung, S. H., Lu, L., Wang, H., Qing, L., & Xu, X. (2024, January 5), Applied Ergonomics, Vol. 116. https://doi.org/10.1016/j.apergo.2024.104224
Factors Affecting Workers’ Mental Stress in Handover Activities During Human–Robot Collaboration
Lu, L., Xie, Z., Wang, H., Su, B., Jung, S., & Xu, X. (2024, January 12), Human Factors The Journal of the Human Factors and Ergonomics Society, Vol. 1. https://doi.org/10.1177/00187208241226823
Learning Undergraduate Data Science Through a Mobile Device and Full Body Movements
Jung, S. H., Wang, H., Su, B., Lu, L., Qing, L., Fang, X., & Xu, X. (2024, November 27), TechTrends, Vol. 11. https://doi.org/10.1007/s11528-024-01026-0

View all publications via NC State Libraries