Key details
Dr Quang (James) Huy Duong
Associate Professor in Business Operations
Dr. James Duong is an expert in Big Data Analytics, Machine Learning & Deep Learning, Text Mining, Lifecycle Assessment within the domains of Logistics, Operations and Supply Chain Management. He conducts research that spans predictive modelling of customer behaviour, advanced analytics for logistics, and data-driven optimisation of supply chains, especially in automotive sector. He is currently the Co-Investigator and WP1 Leader of the €5.3-million CIRCUBATT project (https://cordis.europa.eu/project/id/101192383).
His research expertise is in interdisciplinary analytics research and its adoption across business and engineering communities. He has published and regularly reviews for top-ranked journals in his field, including International Journal of Operations and Production Management, International Journal of Production Economics, Annals of Operations Research, Technovation, Transportation Research Part E: Logistics and Transportation Review and Journal of Retailing and Consumer Services. James has recently received the 2025 Journal of Simulation – Certificate of Outstanding Contribution in Reviewing.
James completed his PhD at the University of Greenwich in 2022, supported by a Vice-Chancellor’s Scholarship, with a thesis on “Understanding and Predicting Online Customer Return Intention using Data Mining approaches.” His academic foundation also includes an MSc in Management and Global Supply Chain Management (Distinction) from Nottingham Trent University and a BA in Industrial Management from Ho Chi Minh University of Technology.
He began teaching at the University of Greenwich in 2020 and took on a full-time academic role in 2022. James leads modules in operations and supply chain analytics and supervises postgraduate research on topics including supply chain resilience and predictive analytics.
Responsibilities within the university
Teaching
James leads and teaches across a range of modules at different levels, including Introduction to Business Processes (L4 - Past module), Purchasing and Distribution (L5 - Current), Operations Management (L5 - Past module), Sustainable Operations Management (L5 - Past module), International Logistics and Supply Chain Management (L6 - Current), and Logistics Technologies (L7 - Past module).
MA Supervision
In addition to teaching, James supervises MA students in Logistics and Supply Chain Management, including dissertations focusing on digital technologies, data analytics, operations and supply chain management.
PhD Supervision
James is open to supervising PhD students in his areas of expertise, including operations and supply chain management, digital technologies and data analytics, circular economy and sustainable supply chains, product returns and reverse logistics, electric vehicle battery circularity, and the application of data-driven modelling, machine learning and AI to operations and supply chain problems.
James has supervised PhD students to completion as both first and second supervisor:
PhD completions:
- Dr Tiep Duy Nguyen
- Dr. Le Thuy An Dang
James is currently supervising PhD candidates as both first and second supervisor:
- Current PhD supervision – First Supervisor: Nhat Linh Nguyen (Starting Oct 2026)
- Current PhD supervision – Second Supervisor:
- Sang Vo
- Zhen Zhou
- Neda Tabatabaei
Research
Awards
- Research and Knowledge Exchange Award - This is Our Time Staff Awards 2025 - University of Greenwich
- Star of the Future Award - Greenwich Business School 2022
- Work Package 1 Leadership: Leading the development and execution of WP1, ensuring the timely delivery of objectives related to [specific focus of WP1, e.g., data analytics, policy development, etc.
- Assistant Project Coordination: Supporting the overall management and coordination of the project, facilitating communication between teams, and ensuring alignment with strategic goals.
- Proposal Preparation: Helped coordinate the Consortium to ensure seamless collaboration and co-designed and drafted part of the proposal responsible for by the University of Greenwich team.
- Pioneering Business Models: Specialising in the creation of an end-of-life battery-as-a-service business model, focusing on sustainable revenue generation and promoting circular economy principles.
- Social Impact Framework: Developing a social life cycle assessment framework to evaluate and enhance the societal benefits of circular battery.
- Expertise Application: Utilising advanced skills in machine learning, big data analytics, and circular economy to develop innovative solutions for sustainable battery as a service.
- Interdisciplinary Collaboration: Collaborating with a multidisciplinary team of researchers and industry experts to advance Europe’s competitive edge in sustainable energy systems.
Recognition
- International Journal of Operations and Production Management
- International Journal of Production Economics
- International Journal of Production Research
- Annals of Operations Research
- Technovation
- Transportation Research Part E: Logistics and Transportation Review
- Journal of Retailing and Consumer Services
- Journal of Simulation
- Journal of Industrial and Production Engineering
- Journal of Organisational Computing and Electronic Commerce
- Journal of Energy Storage
- Journal of Knowledge and Innovation
- Cleaner Logistics and Supply Chain
- Young Consumer.
Research / Scholarly interests
- Operations and supply chain management, especially in the context of closed-loop supply chain and reverse logistics.
- Customer and product behaviours
- Product returns management
- Big data analytics and machine learning/deep learning, information system and advanced technologies.
- Programming languages such as Python, R and SQL
- Text mining such as Natural Language Processing
- Large Language Model
- Predictive modelling
- Automation Programme Development
Key funded projects
Circular Economy Innovations for Resilient, Competitive and Sustainable Battery Technologies (CIRCUBATT) (January 2025 – December 2027), Funded by Horizon Europe, €5M (UoG €1.3M), Grant No. 101192383.
- Work Package 1 Leadership: Leading the development and execution of WP1, ensuring the timely delivery of objectives related to [specific focus of WP1, e.g., data analytics, policy development, etc.].
- Assistant Project Coordination: Supporting the overall management and coordination of the project, facilitating communication between teams, and ensuring alignment with strategic goals.
- Proposal Preparation: Helped coordinate the Consortium to ensure seamless collaboration and co-designed and drafted part of the proposal responsible by the University of Greenwich team.
- Pioneering Business Models: Specialising in the creation of an end-of-life battery-as-a-service business model, focusing on sustainable revenue generation and promoting circular economy principles.
- Social Impact Framework: Developing a social life cycle assessment framework to evaluate and enhance the societal benefits of circular battery.
- Expertise Application: Utilising advanced skills in machine learning, big data analytics, and circular economy to develop innovative solutions for sustainable battery as a service.
- Interdisciplinary Collaboration: Collaborating with a multidisciplinary team of researchers and industry experts to advance Europe’s competitive edge in sustainable energy systems.