Biography

Prof. Xiaodong Li

Department of Mechanical Engineering

University of South Carolina, USA

CEC Distinguished Professor


Email: [email protected]


Qualifications

1996 Postdoc., Ohio State University, Mechanical Engineering

1993 Ph.D., Harbin Institute of Technology, Materials Science and Engineering

1988 M.Sc., Harbin Institute of Technology, Materials Science and Engineering

1985 B.Sc., Harbin Shipbuilding Engineering Institute, Mechanical Engineering


Publications (Selected)

  1. Sun, Y., Esler, S., Thiruvady, D. et al. Instance space analysis for the car sequencing problem. Ann Oper Res 341, 41–69 (2024). https://doi.org/10.1007/s10479-022-04860-8
  2. Bai B, Zhang Y, Li X, Gao J. A physics merged deep neural network-based prediction method for jet turbulent mixing noise. International Journal of Aeroacoustics. 2024;23(3-4):363-385. doi:10.1177/1475472X241230652
  3. Zhang, S., Tang, G., Li, X. and Ren, A. (2023), "The effects of appearance personification of service robots on customer decision-making in the product recommendation context", Industrial Management & Data Systems, Vol. 123 No. 2, pp. 578-595. https://doi.org/10.1108/IMDS-11-2021-0662
  4. Love-Baker, C.A., Harrell, T.M., Scherschel, A. et al. Unveiling the microstructural evolution of carbon fibers derived from polyamide-6. J Polym Res 30, 72 (2023). https://doi.org/10.1007/s10965-023-03455-6
  5. Chen, Y., Ding, D., Meng, L., Li, X., & Zhang, S. (2021). Understanding consumers’ purchase intention towards online paid courses. Information Development, 39(1), 19-35. https://doi.org/10.1177/02666669211027206
  6. Chen, Y., Li, X., Li, Q. and Li, W. (2022), "Exploring customers' switching from native to lightweight apps: a push–pull–mooring framework perspective", Industrial Management & Data Systems, Vol. 122 No. 12, pp. 2633-2656. https://doi.org/10.1108/IMDS-04-2022-0234
  7. Zhang, S., Huang, C., Li, X., & Ren, A. (2022). Characteristics and roles of streamers in e-commerce live streaming. The Service Industries Journal, 42(13–14), 1001–1029. https://doi.org/10.1080/02642069.2022.2068530
  8. Shen, V.C., Bumgardner, C., Actis, L. et al. In Situ Deformation of First Tarsometatarsal Arthrodesis Implants with Digital Image Correlation: A Cadaveric Study. JOM 74, 3357–3366 (2022). https://doi.org/10.1007/s11837-022-05391-0
  9. Islam, M.J., Li, X. & Deb, K. A speciation-based bilevel niching method for multimodal truss design problems. J Comb Optim 44, 172–206 (2022). https://doi.org/10.1007/s10878-021-00818-x
  10. Shen, Y., Sun, Y., Li, X., Eberhard, A., & Ernst, A. (2022). Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring. Proceedings of the AAAI Conference on Artificial Intelligence, 36(9), 9926-9934. https://doi.org/10.1609/aaai.v36i9.21230
  11. J. Yan, W. Yang, D. Song, X. Li, P. Zhao and J. Hu, "Numerical Study of Quasi-Static and Dynamic Levitation Forces for HTS Tape Stacks Under Simplified Methods Using H and T-A Formulation," in IEEE Transactions on Applied Superconductivity, vol. 32, no. 5, pp. 1-9, Aug. 2022, Art no. 3602409, doi: 10.1109/TASC.2022.3173009. 
  12. J. Yan, W. Yang, D. Song, X. Li, P. Zhao and J. Hu, "Numerical Study of Quasi-Static and Dynamic Levitation Forces for HTS Tape Stacks Under Simplified Methods Using H and T-A Formulation," in IEEE Transactions on Applied Superconductivity, vol. 32, no. 5, pp. 1-9, Aug. 2022, Art no. 3602409, doi: 10.1109/TASC.2022.3173009. 
  13. Xu, X., Hu, M. and Li, X. (2022), "Coping with no-show behaviour in appointment services: a multistage perspective", Journal of Service Theory and Practice, Vol. 32 No. 3, pp. 452-474. https://doi.org/10.1108/JSTP-08-2020-0196
  14. Li, X., Ren, A., & Li, Q. (2022). Exploring Patterns of Transportation-Related CO2 Emissions Using Machine Learning Methods. Sustainability, 14(8), 4588. https://doi.org/10.3390/su14084588
  15. Assimi, H., Neumann, F., Wagner, M., Li, X. (2022). Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems. In: Pérez Cáceres, L., Verel, S. (eds) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2022. Lecture Notes in Computer Science, vol 13222. Springer, Cham. https://doi.org/10.1007/978-3-031-04148-8_8
  16. Y. Wu et al., "AC Loss Simulation in HTS Coil Windings Coupled With an Iron Core," in IEEE Transactions on Applied Superconductivity, vol. 32, no. 6, pp. 1-5, Sept. 2022, Art no. 4701505, doi: 10.1109/TASC.2022.3160127.
  17. Zhang, S., Lin, X., Li, X. et al. Service robots’ anthropomorphism: dimensions, factors and internal relationships. Electron Markets 32, 277–295 (2022). https://doi.org/10.1007/s12525-022-00527-1
  18. Zhang, S., Huang, C., Li, X., & Ren, A. (2022). Understanding Impacts of Service Robots with the Revised Gap Model. Sustainability, 14(5), 2692. https://doi.org/10.3390/su14052692
  19. X. Ma, Z. Huang, X. Li, L. Wang, Y. Qi and Z. Zhu, "Merged Differential Grouping for Large-Scale Global Optimization," in IEEE Transactions on Evolutionary Computation, vol. 26, no. 6, pp. 1439-1451, Dec. 2022, doi: 10.1109/TEVC.2022.3144684.
  20. X. Li, D. Song, Y. Wu, Y. Liu, W. Yang and R. Macián-Juan, "Current-Carrying Capability and Magnetic Behavior of the HTS Twisted Stacked-Tape Conductor Cable for the Compact Fusion Reactor," in IEEE Transactions on Applied Superconductivity, vol. 32, no. 4, pp. 1-5, June 2022, Art no. 4200205, doi: 10.1109/TASC.2021.3138710.


Profile Details

http://techfinder.sc.edu/bio.aspx?id=14770

SCIRP Newsletter
Copyright © 2006-2026 Scientific Research Publishing Inc. All Rights Reserved.
Top