Dr Ting Wu
Lecturer in Business Analytics
My profile
Biography
Dr Ting Wu is Lecturer in Business Analytics at the Department of Operations, Technology, Events and Hospitality Management, Manchester Metropolitan University Business School. Prior to joining MMU, she worked as a Postdoctoral Research and Teaching Associate at Alliance Manchester Business School (AMBS), The University of Manchester. She received the first PhD degree in Engineering from Shanghai Jiao Tong University in 2008 and the second PhD degree in Business and management from AMBS in 2021.
She has successfully coordinated and taught a number of course units at both undergraduate and postgraduate levels in AMBS, including Quantitative Methods for Business and Management, Fundamentals of Data Analytics, Statistical Models for Business, Decision Analysis for Business & Management, Business Decision Analytics, Risk, Performance and Decision Analysis.
Her current research focuses primarily on decision sciences and data analytics, e.g., data-driven performance modelling and decision analysis of sustainable energy. She is an external member of Decision and Cognitive Sciences Research Centre (DCSRC) at AMBS. She has completed research rants as Principal investigator or and Co-investigator at AMBS and Turing-Manchester funding. Previously, she visited as a Visiting Research Fellow the Department of Computer Science, The University of Manchester in 2011 and explored the use of machine learning and optimisation for intelligent decision support. She has published more than 20 research articles in journals in the fields of business and engineering, and presented her research in a series of international conferences, such as ICIM, EURO and OR60.
Research interests
- Multiple criteria decision analysis
- Business data analytics
- Evidential reasoning and data envelopment analysis
- Interdisciplinary research in business and management, engineering, sustainability analysis, etc.
Projects
- “Data analytics and impact modelling of renewable energy on decoupling economic growth from carbon emissions”, AMBS Research Support Fund 2022/23
- “Data-driven control design for multi-energy systems”, Turing-Manchester Project 2021/22
- “Development of an explainable extreme data-driven decision science framework”, AMBS Research Support Fund 2021/22
- “Towards understanding the determinants of COVID-19 vaccine hesitancy and acceptance in Greater Manchester”, Turing-Manchester Feasibility Project 2021/22
Teaching
- AI and Machine Learning: Business Applications
- Business Analytics
- Decision Support Systems and Data Visualisation
- Risk, Performance and Decision Analysis
- Business Decision Analytics
Research outputs
Wen, T., Chen, Y.W., abbas Syed, T. and Wu, T., 2024. ERIUE: Evidential reasoning-based influential users evaluation in social networks. Omega, 122, p.102945. https://doi.org/10.1016/j.omega.2023.102945
Sinaga, J., Wu, T. and Chen, Y.W., 2022. Impact of government interventions on the stock market during COVID-19: a case study in Indonesia. SN Business & Economics, 2(9), p.136. https://doi.org/10.1007/s43546-022-00312-4
Wu, T., Xu, D.L. and Yang, J.B., 2021. Decentralised energy and its performance assessment models. Frontiers of Engineering Management, 8, p.183-198. https://doi.org/10.1007/s42524-020-0148-7
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Chapters in books
Wu, T., Xu, D.L., Yang, J.B. (2018) 'Multiple Criteria Performance Modelling and Impact Assessment of Renewable Energy Systems—A Literature Review.' Renewable Energies Business Outlook 2050. Springer,
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Journal articles
Wen, T., Chen, Y.W., Syed, T.A., Wu, T. (2024) 'ERIUE: Evidential reasoning-based influential users evaluation in social networks.' Omega, 122
Sinaga, J., Wu, T., Chen, Y.W. (2022) 'Impact of government interventions on the stock market during COVID-19: a case study in Indonesia.' SN Business & Economics, 2(9)
Wu, T., Xu, D.L., Yang, J.B. (2021) 'Decentralised energy and its performance assessment models.' Frontiers of Engineering Management, 8(2) pp. 183-198.
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Conference papers
Wu, T., Xu, D.L., Yang, J.B. (2020) 'Decentralized energy system and its performance assessment framework based on MCDA.' In 14th International FLINS Conference (FLINS 2020). WORLD SCIENTIFIC,
Wu, T., Xu, D.L., Yang, J.B. (2019) 'Multiple Criteria Performance Assessment for Decentralized Energy Systems: A Case Study.' In 2019 5th International Conference on Information Management (ICIM). 24/3/2019 - 27/3/2019. IEEE,
Wu, T., Xu, D.L., Yang, J.B. (2017) 'A review on multiple criteria performance analysis of renewable energy systems.' In 2017 13th IEEE International Conference on Control & Automation (ICCA). 3/7/2017 - 6/7/2017. IEEE,