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Ms Shadow Yang Ying

Ms Shadow Yang Ying

PhD Student (HKPFS Awardee)

Yang Ying received her Bachelor's Degree (2020) from Huazhong University of Science and Technology, and Master's Degree (2023) from Tsinghua University. She is interested in Data Analytics in Maritime Research, Shipping Operations Management. Her research is published on Journal of Marine Science and Engineering, Electronic Research Archive, Transportation Research Part E. She is currently a PhD student under the supervision of Prof. Hans Wang Shuaian.

  • shadow.yang@connect.polyu.hk
  • Maritime, Aviation and Transport Studies, Consulting, Research and Teaching interests Data Analytics in Maritime Research, Shipping Operations Management

Education and Academic Qualifications

  • Bachelor of Engineering, Huazhong University of Science and Technology, 2020
  • Master of Engineering Management, Tsinghua University, 2023

Research Outputs

Journal Publications

  1. Yang, Y., Yan, R., & Wang, H. (2022). Pairwise-Comparison Based Semi-SPO Method for Ship Inspection Planning in Maritime Transportation. Journal of Marine Science and Engineering, 10(11), 1696.

  2. Yang, Y., Yan, R., & Wang, S. (2022). Integrating Shipping Domain Knowledge into Computer Vision Models for Maritime Transportation. Journal of Marine Science and Engineering, 10(12), 1885.

  3. Yang, Y., Zang, Y., & Qi, M. (2021, December). Robust Network Design and Last-mile Delivery in Cold Chain Logistics System. In 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 765-772). IEEE.

  4. Qi, M., Yang, Y., & Cheng, C. (2023). Location and inventory pre-positioning problem under uncertainty. Transportation Research Part E: Logistics and Transportation Review, 177, 103236.

  5. Yan, R., Yang, Y., & Du, Y. (2022). Stochastic optimization model for ship inspection planning under uncertainty in maritime transportation. Electronic Research Archive, 31(1), 103-122.



Working Paper

  1. Yang, Y., Wu Z., Hao X., Liu H., & Qi M. (2023). Hybrid heuristics for the three-dimensional bin design and packing problem. Engineering Optimization, under 3nd round review.


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