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| Jano Iljà van Hemert | |
|---|---|
| Born | 24 December 1974 Amsterdam |
| Residence | Scotland |
| Nationality | Dutch |
| Fields | computer scientist, e-Science |
| Institutions | University of Edinburgh |
| Alma mater | MSc, DPhil. Leiden. |
| Doctoral advisor | (D.Phil.) Joost N. Kok, Thomas Bäck, Ágoston E. Eiben |
| Doctoral students | Thomas French, Rob Kitchen, Luna De Ferrari, Chee Sun Liew |
Jano Iljà van Hemert, (born 24 December 1974) is the Research Leader of the UK National e-Science Centre and a Researcher in Informatics at the University of Edinburgh in Scotland.
Van Hemert is interested in data-intensive computational science within interdisciplinary contexts. He is an expert on data mining, combinatorial optimisation and e-Science applications.
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[edit] Qualifications
Van Hemert received a MSc in Computer Science from the Leiden University in 1998. He wrote his DPhil thesis Application of Evolutionary Computation to Constraint Satisfaction and Data Mining under the supervision of Joost N. Kok[1], Thomas Bäck and Ágoston E. Eiben at Leiden University, defending his thesis on 28 November 2002.
[edit] Career
He then moved to the Centrum voor Wiskunde en Informatica, Amsterdam, The Netherlands to work with J.A. La Poutré on dynamic vehicle routing. In 2004, he was awarded[2] a Talent fellowship by the Nederlandse Organisatie voor Wetenschappelijk Onderzoek, which he used to work from one year in the group of David S. Robertson on evolving problem instances. He continued this research during a visit as a Marie Curie Training Fellow to the Vienna University of Technology, where he worked with Günther R. Raidl.
In December 2005, he started as a researcher at the UK National e-Science Centre at which he was promoted to Research Leader in January 2006. Since then, he leads a research group in the University of Edinburgh School of Informatics on data-intensive computational science.
[edit] External links
[edit] References
- ^ CV of Joost N. Kok http://www.liacs.nl/~joost/CV.pdf
- ^ http://www.nwo.nl/nwohome.nsf/pages/NWOP_5VUHNR_Eng
