Profiles

Yuquan (Bill) Du

UTAS Home Dr Yuquan (Bill) Du

Yuquan (Bill) Du

Lecturer in Maritime and Logistics Management

Room F96 , Swanson Building

+61 3 6324 3123 (phone)

Yuquan.Du@utas.edu.au

Dr. Yuquan (Bill) Du is a lecturer in the Department of Maritime and Logistics Management, Australian Maritime College. His current research concentrates on scheduling models and algorithms, logistics and supply chain management, especially on the optimisation problems in ports and shipping. Dr. Du has devoted more than 10 years entirely to maritime studies since his first research project on port operations as a master’s student in 2006. Some of his studies have gained high academic or industrial reputation, such as INFORMS President’s Pick, and Industry Mention of IBM’s Optimisation Team on CPLEX. One of his papers also ranks in the MOST CITED ARTICLES since 2011 of Transportation Research Part E. He is also enthusiastic about promoting the applications of optimisation theory and solvers through his blog 'Chinese OR Tea', which has attracted more than 220,000 visits since its opening in 2008.

Biography

Dr. Du obtained his B.E. in Software Engineering in 2004 at Nankai University in China. Then, he worked as a teacher and a technical specialist in Jiangxi Vocational College of Finance and Economics between 2004 and 2006. After the two-year work, he returned to Nankai University to pursue his master's and doctor's degrees. He obtained his PhD in Control Theory and Control Engineering in June 2012. Afterwards, he worked for about one year as an Assistant Professor at the Department of Transportation Engineering in Inner Mongolia University. Motivated by his academic aspiration, in Nov 2013, he joined the Centre for Maritime Studies, National University of Singapore, and worked there as a research fellow for three years. Since Oct 2016, he has been working as a lecturer with Australian Maritime College, University of Tasmania.

Career summary

Qualifications

DegreeThesis titleUniversityCountryDate of award
Ph.D.Green Shipping Oriented Berth AllocationNankai UniversityChina21/06/2012
M.E.Robust Berth Allocation with Stochastic and Out-of-Schedule Vessel ArrivalsNankai UniversityChina23/06/2009
B.E.-Nankai UniversityChina24/06/2004

Languages (other than English)

Chinese

Teaching

Supply Chain Management, Operations Research, Management Science, Optimisation, Ports and Shipping

Teaching expertise

Transport Economics; Operations Research; Research Methodologies

Research Invitations

Invited academic talks:

  • 'Matheuristics: Combining the strengths of both (integer) linear programming techniques and heuristics', Shanghai Maritime University (SMU), 18 Oct 2013, invited by SMU Logistics Research Center
  • 'Mitigating shipping emissions: models and algorithms', Nankai University, 1 Oct 2016, invited by College of Computer and Control Engineering

View more on Dr Bill Du in WARP

Expertise

  • Operations Management in Maritime (Ports and Shipping)
  • Transportation
  • Logistics and Supply Chain Management
  • Mathematical modelling
  • Operations Research
  • Management Science

Research Themes

Dr. Du's research lies in the intersection of the University's research theme of Marine, Antarctic and Maritime, and the theme of Data, Knowledge and Decisions. His research mainly involves the application of optimisation theories (mathematical modelling and algorithm design) to the management science issues in transport, logistics and supply chain management. He has strong expertise in operations research and optimisation theories, and long-time experience of employing top commercial optimisation solvers, such as IBM ILOG CPLEX Optimizer, IBM ILOG CP Optimizer, Gurobi, and Mosek. His research also requires good skills in coding, with e.g. MATLAB, C++ and Python. Regarding his research in maritime studies, he has been devoting much to the scheduling problems in container and bulk ports, including berth allocation, quay crane allocation and scheduling, yard storage management, and container delivery. Meanwhile, he is also interested in the management science issues in shipping companies, such as shipping service network design, fleet management, ship routing and scheduling, and voyage planning.

Collaboration

In the past few years, Dr. Du was conducting research in the field of maritime studies by collaborating with his colleagues and partners in academic institutions including Nankai University, National University of Singapore, Nanyang technological University, Shanghai Maritime University, and ASTAR. He was also developing voyage planning models for his industrial partner, American President Lines (APL). By working with University of Tasmania, he is expected to expand his wide collaborations with the academic and industrial communities of Australia.

Awards

  • INFORMS President’s Pick, 2015
  • Finalist of Best Paper Award of the committee of Freight Transportation Planning and Logistics (AT015), the 94th Annual Meeting of Transportation Research Board, 2015
  • National Academic Young Star of Ph.D. Students, Ministry of Education, China, 2011

Current projects

  • Big Shipping Log Data Driven Ship Fuel Efficiency Analysis and Management: Model Building & Software Development, NOL Fellowship Project, Main researcher
  • Viability of Transarctic Shipping Routes and Their Impact Analysis on Maritime Transportation, SMI (Singapore Maritime Institute) Project, Co-PI

Fields of Research

  • Maritime transportation and freight services (350904)
  • Transportation, logistics and supply chains (350999)
  • Transport economics (380117)
  • Banking, finance and investment (350299)
  • Supply chains (350909)
  • Disaster and emergency management (350703)
  • Operations research (490108)

Research Objectives

  • International sea freight transport (excl. live animals, food products and liquefied gas) (270405)
  • Port infrastructure and management (270409)
  • Management of greenhouse gas emissions from transport activities (190311)
  • International passenger water transport (e.g. passenger ships) (270404)
  • Logistics (140107)
  • Economic growth (150203)
  • Technological and organisational innovation (150306)
  • Management and productivity (150399)

Publications

Dr. Du has a strong publication track record in premier transportation/maritime journals, such as Transportation Science, Transportation Research Part B/E, and Maritime Policy and Management. He published his research outcomes in two streams of maritime studies: (a) scheduling problems in container and bulk ports, such as berth allocation, quay crane allocation and scheduling, and yard storage management; and (b) management science issues confronting shipping companies, such as shipping service network design, ship scheduling and routing, and voyage planning. His paper published in Transportation Science in 2015 was handpicked by Prof. Robin Keller as the INFOMRS President's Pick. His paper published in Transportation Research Part E in 2011 also ranks in the MOSTED CITED ARTICLES of the journal.

Total publications

27

Highlighted publications

(9 outputs)
YearTypeCitationAltmetrics
2021Journal ArticleNguyen S, Chen PS-L, Du Y, Thai VV, 'An operational risk analysis model for container shipping systems considering uncertainty quantification', Reliability Engineering and System Safety, 209 Article 107362. ISSN 0951-8320 (2021) [Refereed Article]

DOI: 10.1016/j.ress.2020.107362 [eCite] [Details]

Citations: Scopus - 3Web of Science - 1

Co-authors: Nguyen S; Chen PS-L

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2020Journal ArticleNguyen S, Chen PS-L, Du Y, 'Risk identification and modeling for blockchain-enabled container shipping systems', International Journal of Physical Distribution and Logistics Management pp. 1-23. ISSN 0960-0035 (2020) [Refereed Article]

DOI: 10.1108/IJPDLM-01-2020-0036 [eCite] [Details]

Citations: Scopus - 4Web of Science - 5

Co-authors: Nguyen S; Chen PS-L

Tweet

2020Journal ArticleQin T, Du Y, Chen JH, Sha M, 'Combining mixed integer programming and constraint programming to solve the integrated scheduling problem of container handling operations of a single vessel', European Journal of Operational Research, 285, (3) pp. 884-901. ISSN 0377-2217 (2020) [Refereed Article]

DOI: 10.1016/j.ejor.2020.02.021 [eCite] [Details]

Citations: Scopus - 4Web of Science - 3

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2020Journal ArticleWang T, Du Y, Fang D, Li Z, 'Berth allocation and quay crane assignment for the trade-off between service efficiency and operating cost considering carbon emission taxation', Transportation Science ISSN 0041-1655 (2020) [Refereed Article]

DOI: 10.1287/trsc.2019.0946 [eCite] [Details]

Citations: Web of Science - 5

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2019Journal ArticleDu Y, Meng Q, Wang S, Kuang H, 'Two-phase optimal solutions for ship speed and trim optimization over a voyage using voyage report data', Transportation Research Part B: Methodological, 122 pp. 88-114. ISSN 0191-2615 (2019) [Refereed Article]

DOI: 10.1016/j.trb.2019.02.004 [eCite] [Details]

Citations: Scopus - 34Web of Science - 31

Tweet

2016Journal ArticleMeng Q, Du Y, Wang Y, 'Shipping log data based container ship fuel efficiency modeling', Transportation Research Part B: Methodological, 83 pp. 207-229. ISSN 0191-2615 (2016) [Refereed Article]

DOI: 10.1016/j.trb.2015.11.007 [eCite] [Details]

Citations: Scopus - 59Web of Science - 53

Tweet

2016Journal ArticleWang Y, Meng Q, Du Y, 'Liner container seasonal shipping revenue management', Transportation Research. Part B: Methodological, 82 pp. 141-161. ISSN 0191-2615 (2016) [Refereed Article]

DOI: 10.1016/j.trb.2015.10.003 [eCite] [Details]

Citations: Scopus - 55Web of Science - 51

Tweet

2015Journal ArticleDu Y, Chen Q, Lam JSL, Xu Y, Cao JX, 'Modeling the impacts of tides and the virtual arrival policy in berth allocation', Transportation Science, 49, (4) pp. 939 - 956. ISSN 0041-1655 (2015) [Refereed Article]

DOI: 10.1287/trsc.2014.0568 [eCite] [Details]

Citations: Scopus - 63Web of Science - 58

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2011Journal ArticleDu Y, Chen Q, Quan X, Long L, Fung RYK, 'Berth allocation considering fuel consumption and vessel emissions', Transportation Research Part E: Logistics and Transportation Review, 47, (6) pp. 1021-1037. ISSN 1366-5545 (2011) [Refereed Article]

DOI: 10.1016/j.tre.2011.05.011 [eCite] [Details]

Citations: Scopus - 164Web of Science - 149

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Journal Article

(26 outputs)
YearCitationAltmetrics
2021Nguyen S, Chen PS-L, Du Y, 'Container shipping operational risks: an overview of assessment and analysis', Maritime Policy & Management pp. 1-21. ISSN 0308-8839 (2021) [Refereed Article]

DOI: 10.1080/03088839.2021.1875142 [eCite] [Details]

Co-authors: Nguyen S; Chen PS-L

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2021Nguyen S, Chen PS-L, Du Y, Thai VV, 'An operational risk analysis model for container shipping systems considering uncertainty quantification', Reliability Engineering and System Safety, 209 Article 107362. ISSN 0951-8320 (2021) [Refereed Article]

DOI: 10.1016/j.ress.2020.107362 [eCite] [Details]

Citations: Scopus - 3Web of Science - 1

Co-authors: Nguyen S; Chen PS-L

Tweet

2021Shi W, Du Y, Chang C-H, Nguyen S, Wu J, 'Spatial heterogeneity and economic driving factors of SO2 emissions in China: Evidence from an eigenvector based spatial filtering approach', Ecological Indicators, 129 Article 108001. ISSN 1470-160X (2021) [Refereed Article]

DOI: 10.1016/j.ecolind.2021.108001 [eCite] [Details]

Co-authors: Shi W; Nguyen S

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2021Xu Y, Du Y, Li Y, Zhang H, 'Collaborative emergency berth scheduling based on decentralized decision and price mechanism', Annals of Operations Research, 298 pp. 525-554. ISSN 0254-5330 (2021) [Refereed Article]

DOI: 10.1007/s10479-018-2859-2 [eCite] [Details]

Citations: Scopus - 2Web of Science - 34

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2021Yang R, Yu M, Lee CY, Du Y, 'Contracting in ocean transportation with empty container repositioning under asymmetric information', Transportation Research Part E: Logistics and Transportation Review, 145 Article 102173. ISSN 1366-5545 (2021) [Refereed Article]

DOI: 10.1016/j.tre.2020.102173 [eCite] [Details]

Citations: Scopus - 3Web of Science - 1

Tweet

2020Nguyen S, Chen PS-L, Du Y, 'Risk identification and modeling for blockchain-enabled container shipping systems', International Journal of Physical Distribution and Logistics Management pp. 1-23. ISSN 0960-0035 (2020) [Refereed Article]

DOI: 10.1108/IJPDLM-01-2020-0036 [eCite] [Details]

Citations: Scopus - 4Web of Science - 5

Co-authors: Nguyen S; Chen PS-L

Tweet

2020Qin T, Du Y, Chen JH, Sha M, 'Combining mixed integer programming and constraint programming to solve the integrated scheduling problem of container handling operations of a single vessel', European Journal of Operational Research, 285, (3) pp. 884-901. ISSN 0377-2217 (2020) [Refereed Article]

DOI: 10.1016/j.ejor.2020.02.021 [eCite] [Details]

Citations: Scopus - 4Web of Science - 3

Tweet

2020Wang T, Du Y, Fang D, Li Z, 'Berth allocation and quay crane assignment for the trade-off between service efficiency and operating cost considering carbon emission taxation', Transportation Science ISSN 0041-1655 (2020) [Refereed Article]

DOI: 10.1287/trsc.2019.0946 [eCite] [Details]

Citations: Web of Science - 5

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2020Yan R, Wang S, Du Y, 'Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship', Transportation Research Part E: Logistics and Transportation Review, 138 Article 101930. ISSN 1366-5545 (2020) [Refereed Article]

DOI: 10.1016/j.tre.2020.101930 [eCite] [Details]

Citations: Scopus - 12Web of Science - 11

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2019Du Y, Meng Q, Shi W, 'Impact analysis of the traffic convoy system and toll pricing policy of the Suez Canal on the operations of a liner containership over a long-haul voyage', International Journal of Shipping and Transport Logistics, 11, (2/3) pp. 119-144. ISSN 1756-6517 (2019) [Refereed Article]

DOI: 10.1504/IJSTL.2019.099276 [eCite] [Details]

Co-authors: Shi W

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2019Du Y, Meng Q, Wang S, Kuang H, 'Two-phase optimal solutions for ship speed and trim optimization over a voyage using voyage report data', Transportation Research Part B: Methodological, 122 pp. 88-114. ISSN 0191-2615 (2019) [Refereed Article]

DOI: 10.1016/j.trb.2019.02.004 [eCite] [Details]

Citations: Scopus - 34Web of Science - 31

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2019Kanrak M, Nguyen HO, Du Y, 'Maritime transport network analysis: a critical review of analytical methods and applications', Journal of International Logistics and Trade, 17, (4) pp. 113-122. ISSN 1738-2122 (2019) [Refereed Article]

DOI: 10.24006/jilt.2019.17.4.002 [eCite] [Details]

Co-authors: Kanrak M; Nguyen HO

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2019Nguyen S, Chen PS-L, Du Y, Shi W, 'A quantitative risk analysis model with integrated deliberative Delphi platform for container shipping operational risks', Transportation Research Part E: Logistics and Transportation Review, 129 pp. 203-227. ISSN 1366-5545 (2019) [Refereed Article]

DOI: 10.1016/j.tre.2019.08.002 [eCite] [Details]

Citations: Scopus - 15Web of Science - 15

Co-authors: Nguyen S; Chen PS-L; Shi W

Tweet

2018Li KX, Xiao Y, Chen S-L, Zhang W, Du Y, et al., 'Dynamics and interdependencies among different shipping freight markets', Maritime Policy and Management, 45, (7) pp. 837-849. ISSN 0308-8839 (2018) [Refereed Article]

DOI: 10.1080/03088839.2018.1488187 [eCite] [Details]

Citations: Scopus - 8Web of Science - 1

Co-authors: Chen S-L; Zhang W; Shi W

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2018Xu Y, Xue K, Du Y, 'Berth scheduling problem considering traffic limitations in the navigation channel', Sustainability, 10, (12) Article 4795. ISSN 2071-1050 (2018) [Refereed Article]

DOI: 10.3390/su10124795 [eCite] [Details]

Citations: Scopus - 5

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2016Du Y, Meng Q, Wang S, 'Mathematically calculating the transit time of cargo through a liner shipping network with various trans-shipment policies', Maritime Policy and Management, 44, (2) pp. 248-270. ISSN 0308-8839 (2016) [Refereed Article]

DOI: 10.1080/03088839.2016.1274831 [eCite] [Details]

Citations: Scopus - 12Web of Science - 12

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2016Du Y, Meng Q, Wang Y, 'Budgeting fuel consumption of container ship over round-trip voyage through robust optimization', Transportation Research Record, 2477 Article 2477-08. ISSN 0361-1981 (2016) [Refereed Article]

DOI: 10.3141/2477-08 [eCite] [Details]

Citations: Scopus - 13Web of Science - 11

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2016Liu Z, Wang S, Du Y, Wang H, 'Supply chain cost minimization by collaboration between liner shipping companies and port operators', Transportation Journal, 55, (3) pp. 296-314. ISSN 0041-1612 (2016) [Refereed Article]

DOI: 10.5325/transportationj.55.3.0296 [eCite] [Details]

Citations: Scopus - 9Web of Science - 9

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2016Meng Q, Du Y, Wang Y, 'Shipping log data based container ship fuel efficiency modeling', Transportation Research Part B: Methodological, 83 pp. 207-229. ISSN 0191-2615 (2016) [Refereed Article]

DOI: 10.1016/j.trb.2015.11.007 [eCite] [Details]

Citations: Scopus - 59Web of Science - 53

Tweet

2016Qin T, Du Y, Sha M, 'Evaluating the solution performance of IP and CP for berth allocation with time-varying water depth', Transportation Review. Part E: Logistics and Transportation Review, 87 pp. 167-185. ISSN 1366-5545 (2016) [Refereed Article]

DOI: 10.1016/j.tre.2016.01.007 [eCite] [Details]

Citations: Scopus - 17Web of Science - 14

Tweet

2016Wang Y, Meng Q, Du Y, 'Liner container seasonal shipping revenue management', Transportation Research. Part B: Methodological, 82 pp. 141-161. ISSN 0191-2615 (2016) [Refereed Article]

DOI: 10.1016/j.trb.2015.10.003 [eCite] [Details]

Citations: Scopus - 55Web of Science - 51

Tweet

2015Du Y, Chen Q, Lam JSL, Xu Y, Cao JX, 'Modeling the impacts of tides and the virtual arrival policy in berth allocation', Transportation Science, 49, (4) pp. 939 - 956. ISSN 0041-1655 (2015) [Refereed Article]

DOI: 10.1287/trsc.2014.0568 [eCite] [Details]

Citations: Scopus - 63Web of Science - 58

Tweet

2015Meng Q, Wang Y, Du Y, 'Bunker procurement planning for container liner shipping companies: Multistage stochastic programming approach', Transportation Research Record, 2479 pp. 60-68. ISSN 0361-1981 (2015) [Refereed Article]

DOI: 10.3141/2479-08 [eCite] [Details]

Citations: Scopus - 5Web of Science - 6

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2014Hu Q-M, Hu Z-H, Du Y, 'Berth and quay-crane allocation problem considering fuel consumption and emissions from vessels', Computers & Industrial Engineering, 70 pp. 1-10. ISSN 0360-8352 (2014) [Refereed Article]

DOI: 10.1016/j.cie.2014.01.003 [eCite] [Details]

Citations: Scopus - 63Web of Science - 52

Tweet

2011Du Y, Chen Q, Quan X, Long L, Fung RYK, 'Berth allocation considering fuel consumption and vessel emissions', Transportation Research Part E: Logistics and Transportation Review, 47, (6) pp. 1021-1037. ISSN 1366-5545 (2011) [Refereed Article]

DOI: 10.1016/j.tre.2011.05.011 [eCite] [Details]

Citations: Scopus - 164Web of Science - 149

Tweet

2011Du Y, Chen Q-S, Ji X-T, 'Service-oriented berth allocation and quay crane assignment', Computer Integrated Manufacturing Systems, 17, (9) pp. 2051-2060. ISSN 1006-5911 (2011) [Refereed Article]

[eCite] [Details]

Conference Publication

(1 outputs)
YearCitationAltmetrics
2010Du Y, Xu Y, Chen Q, 'A feedback procedure for robust berth allocation with stochastic vessel delays', Proceedings of the 8th World Congress on Intelligent Control and Automation, 6-9 July 2010, Jinan, China, pp. 2210-2215. ISBN 978-1-4244-6712-9 (2010) [Refereed Conference Paper]

DOI: 10.1109/WCICA.2010.5554316 [eCite] [Details]

Citations: Scopus - 20Web of Science - 11

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Grants & Funding

During his PhD years, Dr. Du focused mainly on the scheduling problems in container ports, funded by two NSFC (National Natural Science Foundation of China) projects. After he joined National University of Singapore, by working with Prof. Qiang Meng, he got involved, as the main researcher or Co-PI, in two SMI (Singapore Maritime Institute) projects and one NOLF (NOL Fellowship Program) project.

Funding Summary

Number of grants

3

Total funding

$208,435

Projects

Data fusion and machine learning for ship fuel efficiency analysis: a small but essential step towards green shipping through data analytics (2021 - 2022)$77,790
Description
This project is toDevelop a data fusion methodology that pre-processes voyage report data, sensor data, weather archive data, and AIS data and combines these four data sets in a systematic way;Develop some ship fuel efficiency models with machine learning approaches (piecewise linear/nonlinear regression, neural network, and random forest) that quantify the synergetic influence of sailing speed, displacement/draft, trim, sea conditions, and weather conditions on a ships daily bunker fuel consumption;Construct a computer (Python) code infrastructure for the above data fusion methodology and ship fuel efficiency models.
Funding
International Association of Maritime Universities ($77,790)
Scheme
Grant
Administered By
University of Tasmania
Research Team
Du Y; Chen S; Nikolova ND; Bhaskar PR; Fei J; Bai Q
Period
2021 - 2022
Model impacts of extreme disruptions on production and profitability of small and emerging industries (2021 - 2022)$116,549
Description
There have been increasing national and global incidences causing extreme disruptions to businesses of all kinds, for example, bush fires, pandemic, and trade war. The impacts of such disruptions on industries or businesses vary due to the nature of the industries and the size and establishment of the businesses. Small and emerging industries in the Australian agricultural sector, while agile in exploring market opportunities and responding to consumer needs, are vulnerable to extreme disruptions compared to large and well-established industries. The lack of understanding in the impacts of such disruptions on both production and profitability poses significant challenges in undertaking risk assessment and appropriate planning. The project will examine the influential factors during extreme disruptions on production and profitability, with a focus on small and emerging industries in the Australian agricultural sector. A framework will be developed to model the impacts and through quantitative process, to prioritise the areas that will affect the most the outcomes of responses. The framework will contribute to the small and emerging industries in improving preparedness for and recovery from extreme disruptions through enhanced resilience.
Funding
AgriFutures ($116,549)
Scheme
Grant
Administered By
University of Tasmania
Research Team
Fei J; Du Y
Period
2021 - 2022
Analysis of operational risks in container shipping under the impact of blockchain application (2020 - 2022)$14,096
Description
Container shipping operational risks (CSORs) is the existence of potential hazardous events that might lead to actual negative consequences to the ability of the container shipping services providers (e.g., shipping companies, port operators, freight forwarders) to maintain their services at a certain level of quality, quantity or profitability. Blockchain or Distributed Ledger is mentioned by advocates as a solution to prevent multiple CSORs by improving the efficiency and security of the industrys information flow. However, the uncertainty in implementation and operation, as well as the immaturity of the technology, created a favourable environment for new CSORs to develop, hindering the application of the technology. This research investigates the situation of CSORs upon the application of blockchain technology by the process of risk identification to risk assessment. The following are the objectives of this project aiming to achieve.1.Obtaining the perspective and insights of the container shipping service providers (i.e., port operators, container shipping companies, freight forwarders) about the application of blockchain in the industry (e.g., settings, functions, connections with existing systems).2.Identification of potential operational risks in container shipping systems with the application of blockchain technology.3.Identification of multiple-event risk scenarios in which an initial HE can cause other consequential HEs that cause cumulative consequences.4.Development of a risk analysis model to assess the identified risks considering the characteristics of the identified CSORs and risk general characteristics (i.e., Uncertainty, Ambiguity, and Complexity).5.Prioritisation of the identified CSORs reflecting the situation of risk in the perspective of container shipping service providers
Funding
iMOVE Australia ($14,096)
Scheme
PhD top-up scholarship
Administered By
University of Tasmania
Research Team
Chen S; Du Y
Period
2020 - 2022

Research Supervision

Dr. Du's research and projects mainly involve addressing the management science issues confronting ports and shipping companies (berth allocation, quay crane allocation and scheduling, yard storage management, shipping service network design, fleet management, ship routing and scheduling, voyage planning, etc), through optimisation methods (mathematical modelling and solution algorithms). Students with one of the following backgrounds are welcome: Applied Mathematics (Operations Research, Statistics), Automation (Control Theory and Control Engineering), Computer Science, Industrial Engineering, Management Science and Engineering, and Traffic and Transportation Engineering. Students with strong expertise of optimisation theories and good coding skills (MATLAB/C++/Python/Java, etc) are extremely welcome. As an active researcher, I will be reading papers with you, finding research topics with you, modelling with you, coding with you, debugging with you, drafting manuscripts with you, revising papers with you, …, all the time with you, until you are called a researcher. I hope you could enjoy the happiness and honours endowed by research. If your career objective is an assistant professor in academia or an advanced OR/OM (Operations Research/Operations Management) specialist in industries, feel free to drop me a line.

Current

5

Current

DegreeTitleCommenced
PhDOptimising the Operation of Cross-Dock Centres from Short-Term and Mid-Term Perspective2017
PhDThe Strategic Implications of Australia's Maritime LNG Trade with China2018
PhDCruise Shipping Network Analysis2018
PhDAnalysis of Operational Risks in Container Shipping Under the Impact of Blockchain Application2018
PhDIntegrated Vegetable Production Planning under Uncertainty2019