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Qing Wang

Associate Professor
Department of Engineering
Durham University
United Kingdom

Biography

Dr. Qing Wang is an Associate Professor and the International Co-ordinator within the Department of Engineering at Durham University. Her PhD programme was sponsored by BAE Systems and her doctoral research was carried out to identify and develop Artificial Neural Network techniques for use within the cost model development process. Her ANN techniques have since been successfully applied to the development of consultancy work to establish thermoforming cost models within the Composite Wing Programme at BAE Systems. Dr Wang has over fifteen years’ experience in research, industrial and project management and has secured funding from the Nuffield Foundation, Knowledge Transfer Partnerships, BP, IMechE, Royal Academy of Engineering, Royal Society, EPSRC and EU for her research. Her research interests focus on product life cycle engineering including cost engineering, virtual manufacturing/remanufacturing systems involved in operations research, large scale metrology and enterprise supply networks design. Since 2010, she has extended her research into product service systems in relation to developing wind turbine condition monitoring techniques. Dr Wang has published two co-authored books and more than 50 papers in refereed journals and international conferences. Dr Wang is on the Editorial Board for the International Journal of Optimisation and Control: Theory and Applications and International Research of Computer Science. She is also a peer-reviewer for a number of international journals including IJPR, IJAMT, IJPE, IJCIM and IMechE Part B. She has served as an international scientific committee member for several international conferences including ICMR and ICMEEM. She was a Session Chair for the ASME 16th and 17th Design for Manufacturing and the Life Cycle Conferences (DFMLC) in 2011 and 2012, the Program Chair for the ASME DFMLC Conference in 2016 and is the Conference Chair for the ASME DFMLC Conference in 2017. She is a Chartered Engineer (CEng), a senior member of IEEE(SMIEEE), a member of IMechE(MIMechE), a member of ASME(MASME), a member of EC (UK Engineering Council), a Mid-Career Fellow of Durham Energy Institute and a Fellow of the Higher Education Academy.

Research Interest

Product life cycle engineering, Cost Engineering: Cost modelling, cost estimation, cost reduction and control, Sustainable design and manufacturing, Supply chain management optimisation and integration, Free form surface metrology technologies, Wind turbine condition monitoring .

Publications

  • Fang, W, Zheng, L.Y. He, B. & Wang, Q. (2017). Automatic 3D model acquisition for unknown objects based on hybrid vision technology. International Journal of Precision Engineering and Manufacturing 18(3): 275-284.

  • Wang, S., Huang, S. L., Wang, Q., Peng, L. S. & Zhao, W. (2017). Accelerated optimization of an electromagnetic acoustic transducer with artificial neural networks as metamodels. Journal of Sensors and Sensor Systems 6(2): 269-284.

  • Liu, M. H., Zhao, W., Huang, S. L., Wang, Q. & Shi, K. P. (2018). Problems in the classic frequency shift islanding detection methods applied to energy storage converters and a coping strategy. IEEE Transactions on Energy Conversion

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