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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link="#0563C1" vlink="#954F72"><div class=WordSection1><p class=MsoNormal>Dear Yair and Marco,<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Hope this email find you all well. I hereby would like to submit my application for the SOTM2022 Academic Track Scientific Committee, and I gathered my application as follows.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Hope the template was filled correctly, otherwise let me know which information I should add. <o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Big thanks for your consideration and looking forward to your reply.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>------------<o:p></o:p></p><p class=MsoNormal>*Li, Hao*<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>*GIScience Chair, Institute of Geography, Heidelberg University*<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>*Academic experience, in particular on OpenStreetMap*<o:p></o:p></p><p class=MsoNormal>*Hao is a research associate and PhD candidate in GIScience & HeiGIT team in Heidelberg University. His research interests are volunteered geographic information (VGI)<o:p></o:p></p><p class=MsoNormal>geo-semantics, deep learning and machine learning, remote sensing. A selected list of his recent publication related to OpenStreetMap:<o:p></o:p></p><p class=MsoNormal>1. Li, H., Herfort, B., Zipf, A. (2019): Estimating OpenStreetMap Missing Built-up Areas using Pre-trained Deep Neural Networks, In: Proceedings of the 22st AGILE Conference on Geographic Information Science, Limassol, Cyprus.<o:p></o:p></p><p class=MsoNormal>2. Li, H.; Herfort, B.; Wei, H.; Zia. M.; Zipf, A. (2020) Exploration of OpenStreetMap Missing Built-up Areas using Twitter Hierarchical Clustering and Deep Learning in Mozambique. ISPRS Journal of Photogrammetry and Remote Sensing. Volume 166, August 2020, Pages 41-51. <o:p></o:p></p><p class=MsoNormal>3. Herfort B, Li H, Fendrich S, Lautenbach S, Zipf A. (2019) Mapping Human Settlements with Higher Accuracy and Less Volunteer Efforts by Combining Crowdsourcing and Deep Learning. Remote Sensing. 2019; 11(15):1799. https://doi.org/10.3390/rs11151799<o:p></o:p></p><p class=MsoNormal>4. Li, H.; Zech, J.; Ludwig, C.; Fendrich, S.; Shapiro, A.; Schultz, M.; Zipf, A. (2021) Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning. International Journal of Applied Earth Observation and Geoinformation. 2021, Vol 104.<o:p></o:p></p><p class=MsoNormal>5. Hu, X.; Noskov, A.; Fan, H.; Novack, T.; Li, H.; Gu, F.; Shang, J.; Zipf, A.(2021) Tagging the main entrances of public buildings based on OpenStreetMap and binary imbalanced learning. International Journal of Geographical Information Science, 2021, 04 Feb.<o:p></o:p></p><p class=MsoNormal>*<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>*Editorial experience*<o:p></o:p></p><p class=MsoNormal>*Hao is in the Reviewer Board of Remote Sensing, MPDI, as well as reviewers for Journals, such as: Annals of the American Association of Geographers, Taylor & Francis; Remote Sensing, MDPI; ISPRS International Journal of Geo-Information, MDPI; Arabian Journal of Geosciences, Springer; IEEE Geoscience and Remote Sensing Letters, IEEE*<o:p></o:p></p><p class=MsoNormal>------------<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Best Regards,<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Hao<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal style='background:white'><span style='font-size:12.0pt;font-family:"Arial",sans-serif;color:gray'>Hao Li<br><br>Heidelberg University<br>GIScience Research Group | Institute of Geography<br>Room 12D<br>Im Neuenheimer Feld 348<br>D-69120 Heidelberg<br><br>[Tel] +49-6221-54-5534<br>[Fax] +49-6221-54-4529</span><span style='font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222'><o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-size:12.0pt;font-family:"Arial",sans-serif;color:gray'>[I-Net] </span><span style='font-size:12.0pt;font-family:"Arial",sans-serif;color:#222222'><a href="http://giscience.uni-hd.de/" target="_blank"><span style='color:#1155CC'>http://giscience.uni-hd.de</span></a><o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>