Xu Xu

Assistant Professor

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

 
Xu Xu is an assistant 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.

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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

DegreeProgramSchoolYear
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

 

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Publications

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. https://doi.org/10.1109/THMS.2021.3102511
Real-Time Driving Distraction Recognition Through a Wrist-Mounted Accelerometer
Xie, Z., Li, L., & Xu, X. (2021), HUMAN FACTORS. https://doi.org/10.1177/0018720821995000
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
MOPED25: A multimodal dataset of full-body pose and motion in occupational tasks
Li, L., Xie, Z., & Xu, X. (2020), JOURNAL OF BIOMECHANICS, 113. https://doi.org/10.1016/j.jbiomech.2020.110086
A Deep Neural Network-based method for estimation of 3D lifting motions
Mehrizi, R., Peng, X., Xu, Z., & Shaoting, L. (2019), JOURNAL OF BIOMECHANICS, 84, 87–93. https://doi.org/10.1016/j.jbiomech.2018.12.022
Design Process for an Ergonomic Solution to the Police Duty Belt
White, M. M., Kaber, D. B., Deng, Y., & Xu, X. (2019), ADVANCES IN PHYSICAL ERGONOMICS & HUMAN FACTORS, pp. 3–15. https://doi.org/10.1007/978-3-319-94484-5_1
Occupational cranking operations: The scapula perspective
Lin, J.-H., & Xu, X. (2019), APPLIED ERGONOMICS, 75, 129–133. https://doi.org/10.1016/j.apergo.2018.09.011
Predicting 3-D Lower Back Joint Load in Lifting: A Deep Pose Estimation Approach
Mehrizi, R., Peng, M., Dimitris N., X., Xu, Z., & Shaoting, L. (2019), IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 49(1), 85–94. https://doi.org/10.1109/THMS.2018.2884811
Video-Based Driver's Hand Tracking using Fast Normalized Cross Coefficient with Improved Computational Efficiency
Li, L., Hutmacher, C. M., Jr., & Xu, X. (2019), TRANSPORTATION RESEARCH RECORD, 2673(8), 233–241. https://doi.org/10.1177/0361198119841554

View all publications via NC State Libraries

Xu Xu