Holger H. Hoos
Holger H. Hoos | |
|---|---|
| Alma mater | Technische Universität Darmstadt |
| Awards | |
| Scientific career | |
| Doctoral advisor | Wolfgang Bibel |
Holger H. Hoos is a German-Canadian computer scientist and a professor of machine learning at Leiden University.[4] He is also an adjunct professor at the Computer Science Department of the University of British Columbia, where he held a full-time professorial appointment from 2000 until 2016. His research interests are focused on empirical algorithmics with applications in artificial intelligence, bioinformatics and operations research.[5] In particular, he works on automated algorithm design and on stochastic local search algorithms. Since 2015, he is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), and since 2020 a Fellow of the European Association for Artificial Intelligence (EurAI) as well as a Fellow of the Association for Computing Machinery (ACM).
He wrote the book Stochastic Local Search: Foundations and Applications[6] (with ), and his research is published widely in internationally leading journals and conference proceedings.[7][8] He also works in computer music, where he created the music programming language and computer music system (with Thomas Helbich, Jürgen Kilian and Kai Renz) as well as GUIDO music notation (with Keith Hamel).
Hoos studied computer science at Department of Computer Science of the Technische Universität Darmstadt and received his doctorate there in 1998.[5]
References[]
- ^ 2020 ACM Fellows
- ^ EurAI Fellows
- ^ AAAI Fellows
- ^ "Befaamd hoogleraar data science naar Leiden" (in Dutch). Retrieved 2017-11-28.
- ^ Jump up to: a b "Holger H. Hoos | Computer Science at UBC". www.cs.ubc.ca. Retrieved 2019-11-20.
- ^ Holger H. Hoos and Thomas Stützle, Stochastic Local Search: Foundations and Applications, Morgan Kaufmann / Elsevier, 2004.
- ^ http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/h/Hoos:Holger_H=.html,
- ^ https://scholar.google.ca/citations?user=l6c85tMAAAAJ&hl=en&oi=ao
External links[]
- Holger H. Hoos homepage at UBC
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