[OSM-Science] about application for SOTM2022 Academic Track SC

[Hao Li]

Dear Yair and Marco,

 

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.

 

Hope the template was filled correctly, otherwise let me know which
information I should add. 

 

Big thanks for your consideration and looking forward to your reply.

 

------------

*Li, Hao*

 

*GIScience Chair, Institute of Geography, Heidelberg University*

 

 

*Academic experience, in particular on OpenStreetMap*

*Hao is a research associate and PhD candidate in GIScience & HeiGIT team in
Heidelberg University. His research interests are volunteered geographic
information (VGI)

geo-semantics, deep learning and machine learning, remote sensing. A
selected list of his recent publication related to OpenStreetMap:

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.

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. 

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

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.

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.

*

 

*Editorial experience*

*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*

------------

 

Best Regards,

 

Hao

 

Hao Li

Heidelberg University
GIScience Research Group | Institute of Geography
Room 12D
Im Neuenheimer Feld 348
D-69120 Heidelberg

[Tel] +49-6221-54-5534
[Fax] +49-6221-54-4529

[I-Net]  <http://giscience.uni-hd.de/> http://giscience.uni-hd.de

 

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