Publikationen |
Publikationen von Damian Borth |
Schwerpunkte |
- Maschinelles Lernen
- Deep Learning
- Künstliche Intelligenz
- Satelliten Bildanalyse
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Ausbildung |
- 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
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Lehraktivitäten |
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. |
Mitgliedschaften |
ACM, IEEE, GRSS, GDS, |
Auszeichnungen |
- 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
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Weitere Informationen |
Weiter Informationen über das AIML Lab können sie unter: www.hsg.ai finden. |
Alexandria |
Weitere Angaben zu Damian Borth |