Quang (James) Huy Duong BA, MSc, MPhil, PgDip, PGCert, FHEA, PhD

Senior Lecturer in Business Operations

Key details

Quang Duong

Quang (James) Huy Duong

Senior Lecturer in Business Operations

James Duong is an expert on Big Data Analytics, Machine Learning/Deep Learning, Text Mining in the domain of Operations and Supply Chain management in the Business, Operations and Strategy School, Faculty of Business, University of Greenwich

James completed his PhD from the University of Greenwich in 2022 and was supported by a Vice-Chancellor's Scholarship for the PhD. His topic is “Understanding and Predicting Online Customer Return Intention using Data Mining approach”. He was previously completed his MSc Management and Global Supply Chain Management with Distinction at Nottingham Trent University (2019) and Level 7 Diploma in Strategic Management and Leadership at Chartered Management Institute. He also was completed his BA Industrial Management at Ho Chi Minh University of Technology (Vietnam) in 2018. James started teaching at the University from September 2020 and started his full-time teaching role in May 2022.

Business and management

Responsibilities within the university

Teaching

James leads/teaches many modules – “Introduction of Business Processes” – L4, “Purchasing and Distribution – L5”, "Operations Management – L5”, “International Logistics and Supply Chain Management – L6”, “Logistics Technologies – L7”.

MA Supervision

Apart from teaching, James is also supervising MA students in Logistics and Supply Chain Management with some topics about digital technologies and data analytics.

PhD Supervision

James is currently supervising three PhD candidates as a second supervisor in building supply chain resilience, developing user innovation platform and remaining useful life EV battery prediction.

Research

James is a member of Connected Cities Research Group (CCRG) and Networks Urban Systems Centre (NUSC).

Awards

Star of the Future Award (2022) – Greenwich Business School

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.
Professor Li Zhou (PI), Dr. Hetty Wenxian Sun (Co-I, Operational Lead and Researcher), Dr. James Quang Huy Duong (Co-I, Researcher), Dr. Maggie Mao Xu (Co-I, Researcher), Dr. Carlos F.D.A. Arranz (Co-I, Researcher), Professor Petros Ieromonachou (Core Advisor).
My key role in this project:
  • Proposal Preparation: Help coordinating the Consortium to ensure seamless collaboration and co-designed and drafted part of the proposal responsible by 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.
Mapping circular economy in London Borough of Hounslow (March – June, 2022)
Dr. Quang Huy Duong (James) (Co-PI), Professor Li Zhou (PI), Professor Petros Ieromonachou (Co-PI), Duy Tiep Nguyen (Key researcher), Le Thuy An Dang (Key researcher), Funded by Hounslow council.
Development of green business database in London Borough of Hounslow (March – June, 2022)
Dr. Quang Huy Duong (James) (Co-PI), Professor Li Zhou (PI), Professor Petros Ieromonachou (Co-PI), Duy Tiep Nguyen (Key researcher), Le Thuy An Dang (Key researcher), Funded by Hounslow council.

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 Program Development

Recent publications

Article

Sang, V.T.D , Duong, Quang Huy, Zhou, Li, Fernandez De Arroyabe Arranz, Carlos (2024), Electric vehicle battery technologies and capacity prediction: a comprehensive literature review of trends and influencing factors. MDPI. In: , , , . MDPI, Batteries, 10: 451 (12) 2313-0105 (Online) (doi: https://doi.org/10.3390/batteries10120451).

Duong, Quang Huy , Zhou, Li, Nguyen, Van Truong, Meng, Meng (2024), Understanding and predicting online product return behavior: an interpretable machine learning approach. Elsevier. In: , , , . Elsevier, International Journal of Production Economics: 109499 ISSN: 0925-5273 (Print), 1873-7579 (Online) (doi: https://doi.org/10.1016/j.ijpe.2024.109499) NB Item availability restricted.

Nguyen, Tiep , Duong, Quang Huy, Nguyen, Truong Van, Zhu, You , Zhou, Li (2022), Knowledge mapping of digital twin and physical internet in supply chain management: a systematic literature review. Elsevier B.V.. In: , , , . Elsevier B.V., International Journal of Production Economics, 244: 108381 ISSN: 0925-5273 (Print), 0925-5273 (Online) (doi: https://doi.org/10.1016/j.ijpe.2021.108381).

Duong, Quang Huy , Zhou, Li, Meng, Meng, Nguyen, Truong Van , Ieromonachou, Petros , Nguyen, Duy Tiep (2021), Understanding product returns: a systematic literature review using machine learning and bibliometric analysis. Elsevier B.V.. In: , , , . Elsevier B.V., International Journal of Production Economics, 243: 108340 ISSN: 0925-5273 (Print), 0925-5273 (Online) (doi: https://doi.org/10.1016/j.ijpe.2021.108340).

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