Chen
M.Sc. Dongsheng Chen
- Phone:
- Room: 0507.01.767
- dongsheng.chen@tum.de
Research Interests
Dongsheng is a doctoral researcher at Chair of Cartography and Visual Analytics at Technical University of Munich. He has multidisciplinary background and skills, including GIS, remote sensing analysis, urban studies, and deep learning models. His research interests mainly lie in city mechanism, urban modeling, urban morphology, GeoAI and SDGs.
Selected Publications (Google Scholar for details)
- Chen, Dongsheng, et al. "A hierarchical approach for fine-grained urban villages recognition fusing remote and social sensing data." International Journal of Applied Earth Observation and Geoinformation 106 (2022): 102661.
- Chen, Dongsheng, et al. "Exploring the spatial differentiation of urbanization on two sides of the Hu Huanyong Line--based on nighttime light data and cellular automata." Applied Geography 112 (2019): 102081.
- Chen, Dongsheng, Yu Feng, and Liqiu Meng. "Urban morphology meets geo-knowledge graph." Abstracts of the ICA 6 (2023): 36.
- Tu, Wei, Chen Dongsheng*, et al. "Towards SDG 11: Large-scale geographic and demographic characterisation of informal settlements fusing remote sensing, POI, and open geo-data." ISPRS Journal of Photogrammetry and Remote Sensing 217 (2024): 199-215.
- Li, Xun, Chen Dongsheng, et al. "Explainable dimensionality reduction (XDR) to unbox AI ‘black box’models: A study of AI perspectives on the ethnic styles of village dwellings." Humanities and Social Sciences Communications 10.1 (2023): 1-13.
Supervision and Lecture
Master Thesis
- Slum Mapping toward SDG 11 using urban morphology and topology (Lucia Mabel Ganchozo Llano, 2024, Cartography)
- Fill the map: Integrating objective data and citizen knowledge for Participatory Urban Planning (Camila Narbaitz Sarsur, 2023, Cartography)
Lecture
- Spatial Visual Analysis - Visual analysis of urban morphology (Master Course) - Technical University of Munich