My personal website is: https://sites.google.com/site/wangshuaian/home Shuaian (Hans) Wang, PhD, Associate Professor BSc (Tsinghua University), MSc (Tsinghua University), MSc (RWTH Aachen University), PhD (National University of Singapore) Department of Logistics and Maritime Studies Faculty of Business The Hong Kong Polytechnic University Email: wangshuaian@gmail.com Telephone: +852-2766-7419 Dr. Wang is currently an Associate Professor at the Hong Kong Polytechnic University (PolyU). Prior to joining PolyU, he worked as an Assistant Professor of Maritime and Supply Chain Management at Old Dominion University, USA, and a Lecturer of Operations Research at the University of Wollongong, Australia. Dr. Wang s research interests include shipping network design, port operations planning, urban transport network modeling, sustainable transportation and green logistics, and supply chain management. Since 2011, Dr. Wang has published over 90 papers in SCI/SSCI journals such as Transportation Research Part B, Transportation Science, IISE Transactions, Naval Research Logistics, and European Journal of Operational Research, with H-index=21 in Web of Science and H-index=26 in Google Scholar. Dr. Wang dedicates to rethinking and proposing innovative solutions to improve the efficiency of maritime and urban transportation systems, to promote environmental friendly and sustainable practices, and to transform business and engineering education. Professional Services: Associate Editor: Flexible Services and Manufacturing Journal (SCI, impact factor: 1.857) Editorial advisory board member: Transportation Research Part B (SCI/SSCI, impact factor: 3.769) Editorial advisory board member: Transportation Research Part E (SCI/SSCI, impact factor: 2.279) Paper review coordinator: Transportation Research Record (SCI) Editorial board member: Transportation Letters (SCI/SSCI) Guest Editor: International Journal of Shipping and Transport Logistics (SCI) Current PhD Students 2016/2017 Kai Wang, Thesis title: Cruise Service Planning: Models and Solution Methods Hong Kong PhD Fellowship Dan Zhuge, Thesis title: Green Shipping and Port Operations Planning The Hong Kong Polytechnic University PhD Studentship 2017/2018 Lingxiao Wu, Thesis title: Integrated Berth Allocation and Yard Management of Container Terminals Hong Kong PhD Fellowship 1
Wei Zhang, Thesis title: Joint Routing and Bunkering for Bulk Carriers The Hong Kong Polytechnic University PhD Studentship PhD Scholarship Opportunity (Deadline: 1 December 2018) The Hong Kong PhD Fellowship Scheme (HKPFS) aims at attracting the best and brightest students in the world to pursue their PhD studies in Hong Kong. The Fellowship provides a monthly stipend of HK$20,000 (approximately US$2,600) and a conference and research related travel allowance of HK$10,000 (approximately US$1,300) per year to each awardee. Tuition fees and GRE/GMAT score requirements are waived. Details could be found here. Self-motivated engineering, science, and business students with strong mathematics background who are interested in pursuing a PhD in the areas of shipping, transportation, and logistics are strongly encouraged to contact me by email: wangshuaian@gmail.com Representative Papers (*: corresponding author) 1. Zhen, L., Wang, K., Wang, S.*, Qu, X., 2018. Tug scheduling for hinterland barge transport: a branch-and-price approach. European Journal of Operational Research, Vol. 265, No. 1, pp. 119 132. 2. Qu, X., Zhang, J., Wang, S.*, 2017. On the stochastic fundamental diagram for freeway traffic: model development, analytical properties, validation, and extensive applications. Transportation Research Part B, Vol. 104, pp. 256 271. 3. Wang, K., Wang, S., Zhen, L., Qu, X., 2017. Cruise service planning considering berth availability and decreasing marginal profit. Transportation Research Part B, Vol. 95, pp. 1 18. 4. Wang, S., Wang, K., Zhen, L., Qu, X., 2017. Cruise itinerary schedule design. IISE Transactions, Vol. 49, No. 6, pp. 1 20. 5. Wang, S.*, Qu, X., 2017. Station choice for Australian commuter rail lines: equilibrium and optimal fare design. European Journal of Operational Research, Vol. 258, No. 1, pp. 144 154. 6. Yang, D., Pan, K., Wang, S., 2017. On service network improvement for shipping liners under the One Belt One Road Initiative of China. Transportation Research Part E, Vol. XX, pp. XX XX. 7. Zhen, L., Wang, S.*, Zhuge, D., 2017. Dynamic programming for optimal ship refueling decision. Transportation Research Part E, Vol. 100, pp. 63 74. 8. Wang, S., Liu, Z., Qu, X., 2017. Weekly container delivery pattern in liner shipping planning models. Maritime Policy and Management, Vol. 44, No. 4, pp. 442 457. 9. Wang, S.*, 2017. Formulating cargo inventory costs for liner shipping network design. Maritime Policy and Management, Vol. 44, No. 1, pp. 62 80. 10. Wang, S., Meng, Q., 2017. Liner ship fleet deployment: A systematic overview. Transportation Research Part C, Vol. 77, pp. 389 404. 11. Wang, S., Wang, X., 2016. A polynomial-time algorithm for sailing speed optimization with containership resource sharing. Transportation Research Part B, Vol. 93, pp. 394 405. 12. Wang, S., Meng, Q., Lee, C.-Y., 2016. Liner container assignment model with transit-time-sensitive shipment demand and its applications. Transportation Research Part B, Vol. 90, pp. 135 155. 13. Liu, Z., Wang, S., Chen, W., Zheng, Y., 2016. Willingness to board: A novel concept for modeling queuing up passengers. Transportation Research Part B, Vol. 90, pp. 70 82. [ESI highly 2
cited paper] 14. Zhen, L., Wang, S.*, Wang, K., 2016. Terminal allocation problem in a transshipment hub considering bunker consumption. Naval Research Logistics, Vol. 63, No. 7, pp. 529 548. 15. Wang, S.*, 2016. Fundamental properties and pseudo-polynomial-time algorithm for network containership sailing speed optimization. European Journal of Operational Research, Vol. 250, No. 1, pp. 46 55. 16. Qu, X., Wang, S., Zhang J., 2015. On the fundamental diagram for freeway traffic: a novel calibration approach for single-regime models. Transportation Research Part B, Vol. 73, pp. 91 102. [ESI highly cited paper] 17. Wang, S., Liu, Z., Meng, Q., 2015. Segment-based alteration for container liner shipping network design. Transportation Research Part B, Vol. 72, pp. 128 145. 18. Wang, S.*, Liu, Z., Bell, M.G.H., 2015. Profit-based maritime container assignment models for liner shipping networks. Transportation Research Part B, Vol. 72, pp. 59 76. 19. Meng, Q., Wang, S., Lee, C.-Y., 2015. A tailored branch-and-price approach for a tramp ship routing and bunkering problem. Transportation Research Part B, Vol. 72, pp. 1 19. 20. Wang, S.*, 2015. Optimal sequence of container ships in a string. European Journal of Operational Research, Vol. 246, No. 3, pp. 850 857. 21. Wang, S., Meng, Q., 2015. Robust bunker management for liner shipping networks. European Journal of Operational Research, Vol. 243, No. 3, pp. 789 797. 22. Wang, S.*, Qu, X., Yang, Y., 2015. Estimation of the perceived value of transit time for containerized cargoes. Transportation Research Part A, Vol. 78, pp. 298 308. 23. Meng, Q., Hei, X., Wang, S., Mao, H., 2015. Carrying capacity procurement of rail and shipping services for automobile delivery with uncertain demand. Transportation Research Part E, Vol. 82, pp. 38 54. 24. Wang, S., Wang, H., Meng, Q., 2015. Itinerary provision and pricing in container liner shipping revenue management. Transportation Research Part E, Vol. 77, pp. 135 146. 25. Kuang, Y., Qu, X., Wang, S., 2015. A tree-structured crash surrogate measure for freeways. Accident Analysis and Prevention, Vol. 77, pp. 137 148. [ESI hot paper, ESI highly cited paper] 26. Liu, Z., Wang, S., Meng, Q., 2014. Optimal joint distance and time toll for cordon-based congestion pricing. Transportation Research Part B, Vol. 69, pp. 81 97. 27. Meng, Q., Wang, S., Andersson, H., Thun, K., 2014. Containership routing and scheduling in liner shipping: overview and future research directions. Transportation Science, Vol. 48, No. 2, pp. 265 280. [ESI highly cited paper] [100+ citations in Google Scholar] 28. Wang, H., Wang, S., Meng, Q., 2014. Simultaneous optimization of schedule coordination and cargo allocation for liner container shipping networks. Transportation Research Part E, Vol. 70, pp. 261 273. 29. Wang, S.*, 2014. A novel hybrid-link-based container routing model. Transportation Research Part E, Vol. 61, pp. 165 175. 30. Liu, Z., Meng, Q., Wang, S., Sun, Z., 2014. Global intermodal liner shipping network design. Transportation Research Part E, Vol. 61, pp. 28 39. 31. Wang, S.*, Alharbi, A., Davy, P., 2014. Liner ship route schedule design with port time windows. Transportation Research Part C, Vol. 41, pp. 1 17. 32. Wang, S.*, 2013. Essential elements in tactical planning models for container liner shipping. Transportation Research Part B, Vol. 54, pp. 84 99. 3
33. Wang, S., Meng, Q., Liu, Z., 2013. Containership scheduling with transit-time-sensitive container shipment demand. Transportation Research Part B, Vol. 54, pp. 68 83. 34. Wang, S.*, Meng, Q., 2013. Reversing port rotation directions in a container liner shipping network. Transportation Research Part B, Vol. 50, pp. 61 73. 35. Wang, S.*, Meng, Q., Yang, H., 2013. Global optimization methods for the discrete network design problem. Transportation Research Part B, Vol. 50, pp. 42 60. [ESI highly cited paper] 36. Wang, S., Meng, Q., Liu, Z., 2013. Fundamental properties of volume-capacity ratio of a private toll road in general networks. Transportation Research Part B, Vol. 47, pp. 77 86. 37. Wang, S., Meng, Q., Bell, M.G.H., 2013. Liner ship route capacity utilization estimation with a bounded polyhedral container shipment demand pattern. Transportation Research Part B, Vol. 47, pp. 57 76. 38. Wang, T., Meng, Q., Wang, S., Tan, Z., 2013. Risk management in liner ship fleet deployment: a joint chance constrained programming model. Transportation Research Part E, Vol. 60, pp. 1 12. 39. Wang, S., Meng, Q., Liu, Z., 2013. Bunker consumption optimization methods in shipping: A critical review and extensions. Transportation Research Part E, Vol. 53, pp. 49 62. [One of the 5 most highly cited papers published in Transportation Research Part E during 2014, 2015 and up until June 2016] 40. Wang, S., Meng, Q., Liu, Z., 2013. A note on Berth allocation considering fuel consumption and vessel emissions". Transportation Research Part E, Vol. 49, No. 1, pp. 48 54. 41. Wang, S., Meng, Q., Sun, Z., 2013. Container routing in liner shipping. Transportation Research Part E, Vol. 49, No. 1, pp. 1 7. 42. Wang, S.*, 2013. Efficiency and equity of speed limits in transportation networks. Transportation Research Part C, Vol. 32, pp. 61 75. 43. Wang, S., Meng, Q., 2012. Liner ship route schedule design with sea contingency time and port time uncertainty. Transportation Research Part B, Vol. 46, No. 5, pp. 615 633. [100+ citations in Google Scholar] 44. Meng, Q., Wang, T., Wang, S., 2012. Short-term liner ship fleet planning with container transshipment and uncertain demand. European Journal of Operational Research, Vol. 223, No. 1, pp. 96 105. 45. Meng, Q., Wang, S., 2012. Liner ship fleet deployment with week-dependent container shipment demand. European Journal of Operational Research, Vol. 222, No. 2, pp. 241 252. 46. Wang, S., Meng, Q., 2012. Robust schedule design for liner shipping services. Transportation Research Part E, Vol. 48, No. 6, pp. 1093 1106. 47. Wang, S., Meng, Q., 2012. Sailing speed optimization for container ships in a liner shipping network. Transportation Research Part E, Vol. 48, No. 3, pp. 701 714. [ESI highly cited paper] [100+ citations in Google Scholar] 48. Wang, S., Meng, Q., 2012. Liner ship fleet deployment with container transshipment operations. Transportation Research Part E, Vol. 48, No. 2, pp. 470 484. [ESI highly cited paper] 49. Meng, Q., Wang, S., 2011. Optimal operating strategy for a long-haul liner service route. European Journal of Operational Research, Vol. 215, No. 1, pp. 105 114. 50. Meng, Q., Wang, S., 2011. Liner shipping service network design with empty container repositioning. Transportation Research Part E, Vol. 47, No. 5, pp. 695 708. [100+ citations in Google Scholar] 4
王帅安副教授 ( 清华大学学士 硕士, 德国亚琛工业大学硕士, 新加坡国立大学博士 ) 香港理工大学工商管理学院物流及航运学系电子邮箱 : wangshuaian@gmail.com 电话 : +852-2766-7419 王博士目前在香港理工大学任副教授, 之前曾在美国欧道明大学 (Old Dominion University) 商学院任助理教授 澳大利亚卧龙岗大学 (University of Wollongong) 任讲师 主要研究方向包括航运网络优化 港口规划与调度 城市交通网络建模 运输业可持续发展与绿色物流 供应链管理等 自 2011 年至今在 Transportation Research Part B Transportation Science IISE Transactions Naval Research Logistics European Journal of Operational Research 等国际著名 SCI/SSCI 期刊发表论文 90 余篇,Web of Science 中 H 指数为 21,Google Scholar 中 H 指数为 26 目前担任如下国际 SCI/SSCI 期刊的副主编及编委 : Flexible Services and Manufacturing Journal(SCI, 影响因子 1.857) 副主编 ( Associate Editor) Transportation Research Part B(SCI/SSCI, 影响因子 3.769) 编委 (Editorial advisory board member) Transportation Research Part E(SCI/SSCI, 影响因子 2.279) 编委 (Editorial advisory board member) Transportation Research Record(SCI) 论文评审负责人 (Paper review coordinator) Transportation Letters(SCI/SSCI) 编委 (Editorial board member) International Journal of Shipping and Transport Logistics(SCI) 特刊编辑 (Guest Editor) 博士研究生 2016/2017 王凯, 博士课题 : 邮轮航线网络规划模型与算法 香港政府奖学金, 是香港理工大学工商管理学院第一个获此殊荣的博士生 诸葛丹, 博士课题 : 排放控制区下集装箱班轮网络设计 香港理工大学博士奖学金 2017/2018 吴凌霄, 博士课题 : 集装箱码头泊位与堆场联合调度 香港政府奖学金, 是香港理工大学工商管理学院第二个 ( 并列 ) 获此殊荣的博士生 张薇, 博士课题 : 干散货运输路径规划与加油港选择优化研究 香港理工大学博士奖学金 招收博士研究生信息 ( 截止日期 :2018 年 12 月 1 日 ) 欢迎有志于从事航运 交通 物流领域科学研究 具有较好数学基础的本科生 硕士生 ( 专业不限 ) 申请香港政府奖学金攻读博士学位 香港政府奖学金 (Hong Kong PhD Fellowship) 为博士生提供每月 20000 港币的生活费 每年 10000 港币的会议费, 并且免学费 免 GRE/GMAT 考试要求 具体申请信息请点击此处 有意申请者请将个人简历发送至 wangshuaian@gmail.com 5