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Zhenxin Qin

Zhenxin Qin

Senior Lecturer

Department of Strategy, Analytics and Operations

Staff Group(s)
Department of Strategy, Analytics and Operations

Role

Dr Zhenxin Qin is a Senior Lecturer in Business Analytics and Artificial Intelligence in the Department of Strategy, Analytics and Operations at Nottingham Business School, Nottingham Trent University. He is a Fellow of the Higher Education Academy (FHEA).

Zhenxin leads the Business Analytics and AI module on the School’s postgraduate programmes. His teaching combines the technical foundations of analytics and AI with their practical application to business decision-making and digital transformation. He has a strong interest in pedagogical research, particularly in designing analytics and AI modules that are accessible, engaging and inclusive for students from diverse backgrounds. He also acts as an academic mentor and supervises research projects at undergraduate and postgraduate levels.

Career overview

His research interests include data mining for decision support, digital transformation, sentiment analysis of social media, and information extraction methods more broadly.Zhenxin received his PhD from Alliance Manchester Business School, University of Manchester, where he also taught. Before joining Nottingham Business School, he was a Research Associate in the School of Business and Economics at Loughborough University, working on the AI2M project, where he developed methods for processing dynamic modelling information.

Research areas

  • Data analytics and big data for business decision making and innovation
  • Digital Innovative Intelligent systems for decision making
  • Innovative pedagogies for data and AI in business education
  • Sustainability & Wellbeing analytics
  • Human-centred AI & Optimisation

External activity

  • Journal reviewer for International journals,
  • Member of Data Analytics Cluster research group.

Publications

Guo, C., Liu, J., Qin, Z., 2025,Resource scheduling of construction workers based on the structure of psychological capital,  Journal of Safety and Environment, 25(10):3864-3871.DOI:10.13637/j.issn.1009-6094.2024.2203.

Chen, E. and Qin, Z., 2024. Cultivating AI Literacy Among Management Students: Student Experiences And Challenges In A Business-focused AI Literacy Module. In: British Academy of Management (BAM) 2024 Conference, Nottingham

Zhou, X., Guo, C. and Qin, Z., 2023. Visual risk assessment method based on YOLOv5: a case study of university laboratories. Journal of Wuhan University of Technology (Information and Management Engineering).

Chen, E. and Qin, Z., 2023. Developing AI literacy of management students using problem and project-based learning. AMCIS 2023 Proceedings, 13.

Díaz, C. and Qin, Z., 2022. Exploring customers’ motivation and awareness to purchase Benefit Corporation (B Corps) brands: a comparison between UK and China. In: British Academy of Management

Qin, Z.and Petrounias, I, 2017.A semantic-based framework for fine grained sentiment analysis,IEEE 19th Conference on Business Informatics (CBI), Vol(1),pp 295-301.

Qin, Z.,2017. A Framework and practical implementation for sentiment analysis and aspect exploration”, PhD Thesis. The University of Manchester, Manchester eScholar: uk-ac-man-scw:308707

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