Xu Xu

Associate Professor

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

Xu Xu is an associate professor whose research mainly focuses on human motion data analysis and theoretical human biomechanical modeling with an emphasis on safety promotion. Xu’s research has been supported by the National Science Foundation (Cyberlearning, NRI, IUSE), the National Institute of Occupational Safety and Health and NC State’s Research and Innovation Seed Funding. He has co-authored more than 80 journal articles and conference proceedings on the aforementioned research topics and received the C. A. Anderson Outstanding Faculty Award and Goodnight Early Career Innovator Award.

Xu teaches undergraduate and graduate courses related to human factors and ergonomics, including ISE352 (Fundamentals of Human-Machine Systems Design), ISE 541 (Occupational Safety Engineering), ISE 544 (Occupational Biomechanics) and ISE 794 (Advanced Biomechanical Modeling).

Prior to joining the NC State faculty, Xu started his career as a postdoctoral research fellow in the School of Public Health at Harvard University. From there he became a research scientist at the Liberty Mutual Research Institute for Safety where he received a best-paper and outstanding scientific contribution awards multiple times.

Visit the Biomechanics Lab


Research Interests

Xu Xu’s research interests include human factors and ergonomics engineering, occupational biomechanics, optimization-based biomechanical modelling, data mining on human motion data, occupational musculoskeletal injury prevention.



Ph.D.Doctor of Philosophy in Industrial EngineeringNC State University2008
MSIEMaster of Science in Industrial EngineeringNC State University2006
BSIEBachelor of Science in Industrial EngineeringTsinghua University2004

Honors and Awards


Discover more about Xu Xu



An Image-Based Human-Robot Collision Avoidance Scheme: A Proof of Concept
Xie, Z., Lu, L., Wang, H., Li, L., & Xu, X. (2023, June 8), IISE TRANSACTIONS ON OCCUPATIONAL ERGONOMICS & HUMAN FACTORS, Vol. 6. https://doi.org/10.1080/24725838.2023.2222651
Improving Workers' Musculoskeletal Health During Human-Robot Collaboration Through Reinforcement Learning
Xie, Z., Lu, L., Wang, H., Su, B., Liu, Y., & Xu, X. (2023, May 22), HUMAN FACTORS, Vol. 5. https://doi.org/10.1177/00187208231177574
A Simple Method to Optimally Select Upper-Limb Joint Angle Trajectories from Two Kinect Sensors during the Twisting Task for Posture Analysis
Liu, P.-L., Chang, C.-C., Li, L., & Xu, X. (2022), SENSORS, 22(19). https://doi.org/10.3390/s22197662
A mobile platform-based app to assist undergraduate learning of human kinematics in biomechanics courses
Wang, H., Xie, Z., Lu, L., Su, B., Jung, S., & Xu, X. (2022), JOURNAL OF BIOMECHANICS, 142. https://doi.org/10.1016/j.jbiomech.2022.111243
Mental stress and safety awareness during human-robot collaboration - Review
Lu, L., Xie, Z., Wang, H., Li, L., & Xu, X. (2022). [Review of , ]. APPLIED ERGONOMICS, 105. https://doi.org/10.1016/j.apergo.2022.103832
Real-Time Driving Distraction Recognition Through a Wrist-Mounted Accelerometer
Xie, Z., Li, L., & Xu, X. (2022), HUMAN FACTORS, 64(8), 1412–1428. https://doi.org/10.1177/0018720821995000
A computer-vision method to estimate joint angles and L5/S1 moments during lifting tasks through a single camera
Wang, H., Xie, Z., Lu, L., Li, L., & Xu, X. (2021), JOURNAL OF BIOMECHANICS, 129. https://doi.org/10.1016/j.jbiomech.2021.110860
Lifting Posture Prediction With Generative Models for Improving Occupational Safety
Li, L., Prabhu, S., Xie, Z., Wang, H., Lu, L., & Xu, X. (2021), IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 51(5), 494–503. https://doi.org/10.1109/THMS.2021.3102511
A novel vision-based real-time method for evaluating postural risk factors associated with musculoskeletal disorders
Li, L., Martin, T., & Xu, X. (2020), APPLIED ERGONOMICS, 87. https://doi.org/10.1016/j.apergo.2020.103138
Detection of driver manual distraction via image-based hand and ear recognition
Li, L., Zhong, B., Hutmacher, C., Jr., Liang, Y., Horrey, W. J., & Xu, X. (2020), ACCIDENT ANALYSIS AND PREVENTION, 137. https://doi.org/10.1016/j.aap.2020.105432

View all publications via NC State Libraries

Xu Xu