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Damian Borth

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Title
Prof. Dr.
Last Name
Borth
First name
Damian
Email
damian.borth@unisg.ch
ORCID
0000-0002-4660-2627 orcid-logo
Phone
+41 71 224 26 27
Web Site
https://ics.unisg.ch/chair-aiml-borth/
Twitter
https://twitter.com/damianborth
Google Scholar
https://scholar.google.de/citations?user=J-8Z038AAAAJ
All Publications
Projects
Other infos
Andere Informationen
Metrics
Schwerpunkte
Maschinelles Lernen
Deep Learning
Künstliche Intelligenz
Satelliten Bildanalyse
Erdbeobachtung
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
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

  • ACM SIGMM Test of Time Award, 2023
  • 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
Weitere Informationen

Weiter Informationen über das AIML Lab können sie unter: www.hsg.ai finden.

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