Holger H. Hoos is a German-Canadian computer scientist and a Alexander von Humboldt-professor of artificial intelligence at RWTH Aachen University.
[4] He also holds a part-time appointment as a professor of machine learning at Leiden University,[5] and he is 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.
He wrote the book Stochastic Local Search: Foundations and Applications[7] (with Thomas Stützle), and his research is published widely in internationally leading journals and conference proceedings.
[8][9] In 2023 he received the ACM SIGKDD test-of-time award for his work on Auto-WEKA, together with Chris Thornton, Frank Hutter and Kevin Leyton-Brown.
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