Universitätssiegel
Yingwei Yan

Im Neuenheimer Feld 348
Raum 10, EG
Yingwei.Yan@uni-heidelberg.de
Tel: +49 6221 54-5509
Fax: +49 6221 54-4529

 

Dr. Yingwei Yan

Yingwei YAN is a doctoral candidate in the National University of Singapore and research associate at the GIScience Research Group of the Institute of Geography in Heidelberg.

RESEARCH INTERESTS
  • Volunteered geographic information
  • Environmental modelling
  • Artificial intelligence
  • Land use and land cover change
  • Disaster management
  • Applications of geographic information system, remote sensing, and global positioning system as spatial decision support systems
PROJECTS
  • Sine 01/2016: Crowd FDA: Crowdsourcing for Forensic Disaster Analysis, Germany, research associate
  • 3/2016-7/2016: Impacts of Landscape Patterns on Urban Ecology and Sustainability, Singapore, research assistant
  • 8/2012-8/2016: Village Tree, Singapore, graduate student researcher
  • 3/2015-4/2015: A Study on the Application of Volunteered Geo-Crowdsourcing Videos in Smart Urban Management, China, participated in research proposal writing.
CURRICULUM VITAE
  • Since 10/2016: Research associate at GIScience Research Group, Heidelberg University, Germany
  • Since 08/2012: Doctoral candidate in Geoinformation Science, National University of Singapore, Singapore
  • 08/2011-11/2012: M.Sc. in Geoinformation Science, the Chinese University of Hong Kong, China
  • 09/2009-07/2011: Product engineer in Hi-Target Survey Instrument Company LTD, China
  • 09/2005-08/2009: B.Eng. in surveying and mapping engineering, Shandong Jianzhu University, China
PUBLICATIONS
  • Yan, Y., Feng, C.-C., & Wang, Y.-C. (2016). Utilizing fuzzy set theory to assure the quality of volunteered geographic information. Geojournal. doi:10.1007/s10708-016-9699-x.
  • Yan, Y., Feng, C.-C., Wang, Y.-C., Wan, M. P.-H., & Chang, K. T.-T. (2016). Potential distributional changes of invasive crop pest species associated with global climate change. Applied Geography, under review.
  • Yan, Y., Feng, C.-C., Wan, M. P.-H., & Chang, K. T.-T. (2015), Multiple regression and artificial neural network for the prediction of crop pest risks. In ISCRAM-MED 2015, N. Bellamine Ben Saoud, C. Adam, & C. Hanachi (Eds.), Lecture Notes in Business Information Processing (LNBIP) 233, Springer, 73-84.
CONFERENCE POSTERS AND PRESENTATIONS
  • Yan, Y. (2016) Investigating potential distributional changes of invasive crop pest species associated with global climate change using GIS. Esri User Conference 2016, 27th-30th June 2016, CA, USA.
  • Yan, Y. (2015) Quality measurement of volunteered geographic information: a fuzzy logic model. The 23rd International Conference on Geoinformatics, June 19-21, 2015, Wuhan, China.
AWARDS AND SCHOLARSHIPS
  • 06/2016: Esri Young Scholar Award, USA
  • 08/2012-08/2016: Four-Year Full Research Scholarship from National University of Singapore, Singapore
  • 8/2015: Third-Class Scholarship from Shandong Jianzhu University, China
TEACHING
  • 8/2016 Guest lecturer (postgraduate course) in the National University of Singapore (Course title: GIS Applications,)
  • 08/2011-11/2012 Teaching assistant (undergraduate courses) in the National University of Singapore (Course titles: Introduction to GIS, Methods & Practices in Geography, Cartography and Visualization, Applications of GIS and Remote Sensing)
  • 10/2015 Guest lecturer (undergraduate course) in the National University of Singapore (Course title: Environmental Modelling)
REVIEWS
  • International Journal of Geographical Information Science, Taylor & Francis
  • Annals of GIS, Taylor & Francis
RECENT NEWS
  • Esri Young Scholars Award Winner for 2016 – Mr Yan Yingwei
  • NUS Researcher Yingwei speaks on How he used Smart Mapping Technology to Provide Cutting-Edge Food Security Solution
THESES
  • Yan, Y. (2016). Exploring Volunteered Geographic Information with Data Quality Control for Integrated Pest Management. PhD thesis.
  • Yan, Y. (2012). Analysing the Dynamic Urban Land Use Changes in Pudong Zhangjiang of Shanghai based on Geographic Information System and Remote Sensing. Master thesis.
  • Yan, Y. (2016). Exploring the Vault Settlement Rules of Large-section Collapsible Loess Tunnels and Settlement Control Methods. Bachelor thesis.
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Letzte Änderung: 15.12.2016
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