Research output per year
Research output per year
Organisation profile
Organisation profile
The Information Technology, Analytics, & Operations Group (ITAO) Group brings together expertise in data science, business analytics, digital innovations, and operations and supply chain management.
We conduct industry-relevant research and help organisations generate business value from digital technologies, make better data-informed decisions, create environmentally sustainable operations, and develop effective supply chain solutions.
Our group members contribute regularly to peer-reviewed international conferences and have published original research in competitive scholarly journals including Information Systems Research, Production and Operations Management, Omega, European Journal of Operational Research and the British Journal of Management.
We provide excellent research-led teaching to undergraduates, postgraduates and working professionals. Our teaching portfolio covers the application of analytics in core business functions such as marketing and human resources, as well as the development and application of technical skills such as advanced analytics and machine learning and data management.
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Byron Graham
- Queen's Business School (QBS) - Reader (Education)
- Health and Human Development Initiative
- Information Technology, Analytics, and Operations
Person: Academic (Education)
Research output
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An optimisation model for sustainable multi-commodity transportation planning
Aggarwal, U., Mehlawat, M. K., Gupta, P. & Charles, V., 16 Apr 2024, In: RAIRO Operations Research. 58, 2, p. 1835-1869 35 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile40 Downloads (Pure) -
A novel heuristic-based selective ensemble prediction method for digital financial fraud risk
Xia, P., Zhu, X., Charles, V., Zhao, X. & Peng, M., 04 Apr 2024, (Early online date) In: IEEE Transactions on Engineering Management. 25 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile64 Downloads (Pure) -
A novel robust decomposition algorithm for a profit-oriented production routing problem with backlogging, uncertain prices, and service level constraints
Zouadi, T., Chargui, K., Zhani, N., Charles, V. & Sreedharan, V. R., 13 Aug 2024, (Early online date) In: Annals of Operations Research. 40 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure)
Prizes
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Best Developmental Paper Award for paper titled “Revving up SMEs’ competitive advantage: Embracing emerging technologies for strategic renewal decision-making”
Dobre, M. (Recipient), Sivarajah, S. (Recipient), Charles, V. (Recipient), Rana, N. (Recipient) & Weerakkody, V. (Recipient), 2023
Prize: Prize (including medals and awards)
Activities
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Empowering Business Strategy: Leveraging Pre-Trained Transformers for Responsible AI-Powered Emotional Analytics
Charles, V. (Invited speaker)
30 May 2024Activity: Talk or presentation types › Invited talk
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The Automation Generation: The Implications of AI, ML, and Big Data
Charles, V. (Participant)
22 Apr 2024Activity: Participating in or organising an event types › Participation in conference
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AI UK 2024 (Alan Turing Institute)
Charles, V. (Participant)
19 Mar 2024 → 20 Mar 2024Activity: Participating in or organising an event types › Participation in conference
Press/Media
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Navigating the analytics frontier: Problem-centric thinking and the cognitive revolution (published in Tech Xplore)
11/12/2023
1 Media contribution
Press/Media: Expert Comment
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Empowering pandemic preparedness by leveraging artificial intelligence and data governance (featured by United Nations Office for Disaster Risk Reduction (UNDRR))
13/11/2023
1 item of Media coverage
Press/Media: Expert Comment
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Empowering pandemic preparedness by leveraging artificial intelligence and data governance (published in Medical Xpress)
13/11/2023
1 Media contribution
Press/Media: Expert Comment