Qinli Yang, Associate Professor
Dr. Yang is interested in models of complex dynamic systems at an appropriate level of detail for decision support. Her research focuses on hydrology, water resources, flood analysis, environmental remote sensing and data mining. She published more than 20 papers on peer-reviewed international journals and conferences in the fields of water resources and data mining, such as Water Research, Environmental Modelling and software, KDD, ICDM. The findings provide various rapid scientific tools for water resources analysis and assessment, helping water resources managers and planners better understand water bodies and make wiser use of them.
See following the Publications and Citations: [Qinli Yang’s Google Scholar homepage]
- Since 2015 /08, University of Electronic Science and Technology of China (China), associated professor.
- 2013/09 – 2015/07, University of Electronic Science and Technology of China (China), Lecture.
- 2011/10 – 2013/09, University of Munich (Germany), PostDoc.
- 2008/10 – 2011/09, University of Edinburgh (UK), PhD
- Best Paper Award in ICDM 2010, Workshop on Biological Data Mining and its Applications in Healthcare, 2010
- Best Article for IGI Global’s “Fourth Annual Excellence in Research Journal Awards” 2010.
-  Qinli Yang, Junming Shao, Miklas Scholz*. Self-organizing map to estimate sustainable flood retention basin types and variables, Environmental Engineering and Management Journal, 13(1):129-134, 2014. [PDF] [Bibtex]
 Qinli Yang, Christian Boehm, Miklas Scholz, Rui Li, Claudia Plant, A Sani, Junming Shao*. Uncertainty analysis in classification of wetlands used for flood and diffuse pollution control, 14th International Water Association (IWA) Conference on Wetland Systems for Water Pollution Control, pp. 145. 2014. [PDF] [Bibtex]
-  Qinli Yang,Junming Shao, Miklas Scholz*, Christian Boehm, Claudia Plant. Multi-label classification models for sustainable flood retention basins., Environmental Modelling & Software, 32, 27-36, 2012. [PDF] [Bibtex]
-  Qinli Yang, MiklasScholz, Junming Shao. Application of spatial statistics as a screening tool for sustainable flood retention basin management., Water and Environment Journal, 26 (2), 155-164, 2012. [PDF] [Bibtex]
-  Qinli Yang, Junming Shao, Miklas Scholz*. Geostatistical assessment of wetlands that can be used as sustainable adaptive structural measures for diffuse pollution and flood risk management planning. Proceedings of the 12th International Water Association International Conference on Wetland Systems for Water Pollution Control, 1581-1588, 2010. [PDF] [Bibtex]
-  Qinli Yang, Junming Shao, William McMinn, Miklas Scholz*. Sustainable Flood Retention Basins (SFRB) as adaptive measures. The Strategic Alliace for Integrated Water Management Actions (SAWA) conference, 32-33, 2010. [PDF] [Bibtex]