Xu Xu
Associate Professor
- Phone: 919.513.7205
- Email: xxu@ncsu.edu
- 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.
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.
Education
| Degree | Program | School | Year |
|---|---|---|---|
| Ph.D. | Doctor of Philosophy in Industrial Engineering | NC State University | 2008 |
| MSIE | Master of Science in Industrial Engineering | NC State University | 2006 |
| BSIE | Bachelor of Science in Industrial Engineering | Tsinghua University | 2004 |
Honors and Awards
Discover more about Xu Xu
Publications
- Human-Robot Collaboration in Occupational Settings: An Introduction to the Special Issue
- Lim, S., Hsiao, H., & Xu, X. (2024, April 5), IISE TRANSACTIONS ON OCCUPATIONAL ERGONOMICS & HUMAN FACTORS, Vol. 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), APPLIED ERGONOMICS, 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, Vol. 1. https://doi.org/10.1177/00187208241226823
- Learning Undergraduate Data Science Through a Mobile Device and Full Body Movements
- Jung, S., 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
- Markerless gait analysis through a single camera and computer vision
- Wang, H., Su, B., Lu, L., Jung, S., Qing, L., Xie, Z., & Xu, X. (2024), JOURNAL OF BIOMECHANICS, 165. https://doi.org/10.1016/j.jbiomech.2024.112027
- Predicting Human Postures for Manual Material Handling Tasks Using a Conditional Diffusion Model
- Qing, L., Su, B., Jung, S., Lu, L., Wang, H., & Xu, X. (2024), IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 54(6), 723–732. https://doi.org/10.1109/THMS.2024.3472548
- 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
