Chen Wang
Information and Computational Sciences
Scottish Crop Research Institute
United Kingdom
Biography
Dr Chen Wang is a Landscape and Visualisation Scientist, who joined the Information and Computational Sciences group at the James Hutton Institute in 2010. He received his BEng at Soochow University, and a PhD in computer science at University of Bradford. He has been a teaching assistant for three years at the University of Bradford.The modules he was involved with include Scripting Programming and Technical Animation, Real-time 3D Computer Graphics for Games. He is responsible for developing materials for 2D/3D visualisation, including landscapes under scenarios of change due to rural development and climate change, and the interpretation of landscapes/seascapes and contribute to the development, and execution, of proposals for funding from other sources, and the preparation of scientific outputs. He is a member of Virtual Landscape Theatre team, responsible for developing landscape models, preparing and participating in Knowledge Exchange events and Conference Exhibitions for stakeholders, visiting groups, professional and public audiences.
Research Interest
His research interests include 3D modelling of landscapes; Integrating virtual environment with Remote Sensing and GIS for land and sea planning; Urban environment modelling and reconstruction; Augmented Reality visualization; Character and traffic animation; 3D flooding modelling and simulation for monitoring and management.
Publications
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Landscape Modelling and Stakeholder Engagement: Participatory Approaches and Landscape Visualisation for Conflict Resolution, In: A Review on the State of the Art in Scenario Modelling for Environmental Management, (Eds. Sang, N., Ode Sang, A.), Miller, D., Ode Sang, Ã…., Brown, I., Munoz-Rojas, J., Wang, C., Donaldson-Selby, G. (2016) Swedish Environmental Protection Agency, ISBN 978-91-620-6695-6. 23-48
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Public Participation to Support Wind Energy Development: The Role of 3D GIS and Virtual Reality. Wang, C., Miller, D., Brown, I. and Jiang, Y. 2016. Peer Reviewed Proceedings of 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, 2016, Plzen, 30 May to 3 June 2016.
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Visualisation Techniques to Support Public Interpretation of Future Climate Change and Land Use Choices: A Case Study from N-E Scotland, Wang, C., Miller, D.R., Brown I., Jiang Y., Castellazzi M. International Journal of Digital Earth, Volume 9, Issue 6, pp.586-605, 2016.