I am currently a Lecturer / Postdoctoral Researcher in Geoinformatics and Cartography at

• Chair of Cartography and Visual Analytics (LfK), Technical University of Munich, under the lead of Prof. Dr. Liqiu Meng.

Previously, I have worked and finished my PhD with highest distinction at

• Institute of Cartography and Geoinformatics (ikg), Leibniz University Hannover, under the supervision of Prof. Dr. Monika Sester and Prof. Dr. Claus Brenner.

My research interests include:

• Volunteered Geographic Information (VGI) for disaster management
• Mobile LiDAR data processing and 3D modelling
• Cartographic generalization with deep learning

Selected publications:

• Feng, Y., Huang, X., & Sester, M. (2022). Extraction and analysis of natural disaster-related VGI from social media: review, opportunities and challenges. Int. J. Geogr. Inf. Sci, 1-42.
• Feng, Y., Xiao, Q., Brenner, C., Peche, A., Yang, J., Feuerhake, U., & Sester, M. (2022). Determination of building flood risk maps from LiDAR mobile mapping data. Comput. Environ. Urban Syst., 93, 101759.
• Feng, Y., Brenner, C., & Sester, M. (2020). Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: A case study of Hurricane Harvey. ISPRS J. Photogramm. Remote Sens., 169, 301-319.
• Feng, Y., Thiemann, F., & Sester, M. (2019). Learning cartographic building generalization with deep convolutional neural networks. ISPRS Int. J. Geo-Inf., 8(6), 258.
• Feng, Y., & Sester, M. (2018). Extraction of pluvial flood relevant volunteered geographic information (VGI) by deep learning from user generated texts and photos. ISPRS Int. J. Geo-Inf., 7(2), 39.