UWE Bristol Academic Spotlight: Mehmet Aydin, Senior Lecturer, Computer Science

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Mehmet Aydin

Knowledge Transfer Partnership

Working with Flexys to integrate Artificial Intelligence and Machine Learning technology within debt resolution software, to enable more effective management of debt resolution and improvement of customer relationships and retention.

Research Interests

Dr Mehmet Aydin is Senior Lecturer in Computer Science with long-standing experience in solving real-world problems using AI, machine learning and soft computing methods. He has led and taken part in numerous research and industrial projects involving data analysis and modelling and problem-solving aspects in supervisory, consultant and researcher capacities. His research resulted in a long-list of publications in internationally peer-reviewed and well-recognised journals and conferences, and the impact of his research can be evidenced with citation metrics.

He has conducted guest editorial of a number of special issues for internationally peer-reviewed journals including International Journal of Production Research, European Journal of Industrial Engineering and International Journal of Fuzzy Systems. In addition to the membership of the advisory committee of many international conferences, he is associate editor and member of the editorial board of peer-reviewed international journals. He is currently a fellow of the Higher Education Academy, member of EPSRC Review College, member of The OR Society UK, ACM and IEEE.

Business/Sector Interests and a brief description of how your academic expertise could be practically applied for a business partner

Mehmet has experience of being the academic supervisor on two KTP projects.

One, still in progress, concerns data analysis and machine learning to understand customer behaviours in the area of debt management. The other, recently successfully completed, was with Lyons Davidson. This concerned the use of artificial intelligence for natural language processing and task-oriented dialogue management, creating automated systems for answering customer queries.

These, combined with his extensive experience of modern software development practices (for example, he is module leader for UWE’s final year module ‘Enterprise Systems Development’) provide him invaluable experience with project management and tools throughout the workplan. In particular his research experience and wide experience of formulating problems as learning tasks, then designing, implementing and evaluating machine learning-based solutions, give him the expertise needed to support collaborations.

For more information about Mehmet’s work please click here

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