Dr Mansur Darlington

Dr Mansur Darlington is a research officer in the Design Information & Knowledge Group of the Engineering IMRC at the University of Bath.
He joined the University of Bath from industry in 1997, and has a first-class honours degree in Cognitive Science from the University of Exeter and a PhD in Engineering Cognition from the University of Bath.
For the last nine years he has been involved in research associated with the capture and codification of engineers’ design knowledge and the development of methods for supporting engineers’ information needs, first in the University of Bath’s Engineering Design Centre latterly in the Innovative Manufacturing Research Centre. He is currently research task co-ordinator for Work Package 2 ‘Learning from Use’ in the KIM Grand Challenge research project.
Special interests include the capture and representation of design information and knowledge for reasoning about conceptual design, the development of reasoning techniques associated with engineering document and document content retrieval, and the development of methods for controlled document origination to support standardization for reuse and for information minimization.
Papers
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Darlington, M. J. & Culley, S. J. (2004). A Model of the Factors Influencing the Design Requirement. Design Studies, 25, pp. 329-350.
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Darlington, M. & Culley, S. (2005). Investigating Ontology Development for Engineering Design Support. Accepted for publication in Advanced Engineering Informatics.
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Potter, S., Culley, S., Darlington, M. J. & Chawdhry, P. K. (2003). Automated Conceptual Design using Experience-derived Heuristics. Research in Engineering Design 14, pp. 131-144.
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Darlington, M. J. & Culley, S. J. (2002). Current Research in the Engineering Design Requirement. Proceedings of the Institute of Mechanical Engineers, Vol. 216, Part B:J Engineering Manufacture, pp. 375-388.
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Darlington , M. J. & Culley, S. J. (2002). Elucidating the Design Requirement for Conventional and Automated Conceptual Design. In John S. Gero (ed), Artificial Intelligence in Design 02. Kluwer Academic Publishers, Dordrecht, The Netherlands, pp. 431-452.