| Publications |
Publications of Damian Borth |
| Main Focuses |
- Machine Learning
- Deep Learning
- Artificial Intelligence
- Remote Sensing
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| Education |
- Postdoc, UC Berkeley, USA
- Postdoctoral DAAD Fellow, Int. Computer Science Institute, Berkeley, USA
- Visiting Scholar Columbia University, New York City, USA
- Researcher, Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), Germany
- PhD, TU Kaiserslautern, Kaiserslautern, Germany
|
| Teaching Activities |
I am teaching at the School of Computer Science the lectures in Deep Learning, Machine Learning, and Artificial Intelligence at the master and bachelor level. I also give lectures at the MBI and MUG and GSERM. Further, I am involved in executive education at IEMBA, EMBA , and the collaborative executive education program with ETH Zürich embaX. |
| Affiliations |
ACM, IEEE, GRSS, GDS, |
| Awards |
- Google Research Scholar Award, 2022
- Best Student Paper Award, CVPR EarthVision Workshop, 2022
- Thomas Mann House Fellowship, 2019
- I am AI Fellow, NVIDIA , 2018
- NVIDIA AI Lab Award, 2016
- Recipient of the German Academic Exchange Program (DAAD) Postdoctoral Fellowship, 2014-2015
- Recipient of the Max-Planck Institute for Computer Science Scholarship, 2011-2014
- Best-Paper Award, ACM Int. Conference on Multimedia Retrieval (ICMR), 2012
- 1. Place, McKinsey Business Technology Award, 2011
|
| Additional Information |
Further information about the AIML Lab can be found at: www.hsg.ai. |
| Alexandria |
Further information about Damian Borth |