Joshua Knowles (computer scientist)
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Joshua Knowles | |
|---|---|
| Born | Joshua Damian Knowles Berkshire, England, UK |
| Residence | United Kingdom |
| Citizenship | British |
| Alma mater | University of Reading (BSc, PGCE, MSc, PhD) University of Manchester (FHEA) |
| Known for | Multiobjective optimization, Bayesian optimization, Cluster analysis |
| Scientific career | |
| Fields | Computer Science, Artificial Intelligence |
| Institutions | University of Birmingham University of Manchester |
| Thesis | Local Search and Evolutionary Algorithms for Pareto Optimization (2002) |
| Doctoral advisor | David W. Corne.[1] |
| Website | http://www.cs.bham.ac.uk/~jdk/ |
Joshua Knowles is a British computer scientist who mainly works on evolutionary computation, multiobjective optimization and related fields and applications[2]. He is a Principal Research Scientist for Schlumberger at the SCR research site in Cambridge. Knowles is also an Honorary Professor in the Decision Sciences Research Centre at the Alliance Manchester Business School[3] and an Honorary Senior Fellow in the School of Computer Science at the University of Birmingham[4]. Knowles is a highly-cited academic author, appearing within the top 20,000 in Elsevier's 2022 science-wide author database of standardized citation indicators (all disciplines, world-wide).[5] In the subdiscipline of AI, he is in the top 3,500 world-wide.[5]
Academic career
Knowles has been funded by three competitive fellowship awards, the European Commission Marie Sklodowska-Curie Fellowship[6], the BBSRC David Phillips Fellowship (5 years)[7][8], and a University of Manchester Career Development Fellowship. At Manchester, he held the positions of Senior Lecturer and then Reader in the School of Computer Science. He moved to the University of Birmingham in 2015 to take up the role of Professor of Natural Computation[9] which he held until leaving academic research in 2019. He was awarded senior honorary positions at Manchester and Birmingham in 2015 and 2019 respectively.
Research and service
Knowles is known for work in multiobjective optimization: he is the co-author of the PAES multiobjective local search algorithm (cited by 3,000[10]), the ParEGO multiobjective Bayesian optimization algorithm (cited by 1,000[11]), and the MOCK multiobjective cluster analysis and model selection algorithm (cited by 700[12]). He also co-invented a general problem-transformation technique (similar to a duality), called multiobjectivization[13], and proposed the use of hypervolume as the basis for selection in evolutionary multiobjective optimization (EMO)[14].
Knowles is also a proponent of closed-loop optimization — directly connecting machine learning and optimization algorithms to robotic, chemical, physical, electronic or other devices[15].
Knowles is an editorial board member of the journals, Evolutionary Computation[16] and Swarm Intelligence[17]. He is on the Steering Committee of the Evolutionary Multi-criterion Optimization (EMO) international conference series[18], and has co-chaired and co-organized three international week-long seminars at the Dagstuhl computer science centre in Wadern, German on topics in multiobjective optimization[19][20][21]
Personal life
Knowles has two children.
References
- ↑ https://www.macs.hw.ac.uk/~dwcorne/
- ↑ "World's Best Computer Science Scientists: H-Index Computer Science Ranking in United Kingdom 2023". Research.com.
- ↑ "Professor Joshua Knowles". Alliance Manchester Business School.
- ↑ "Professor Joshua Knowles". Honorary Staff, University of Birmingham.
- ↑ 5.0 5.1 Ioannidis, John P. A. (3 November 2022). "September 2022 data-update for "Updated science-wide author databases of standardized citation indicators"". 5. Elsevier BV. doi:10.17632/btchxktzyw.5 – via elsevier.digitalcommonsdata.com.
{{cite journal}}: Cite journal requires|journal=(help) - ↑ "Awards - Marie Sklodowska Curie Fellowship". Manchester Research Portal.
- ↑ "Awards - David Phillips Fellowship". Manchester Research Portal.
- ↑ "David Phillips Fellowships". Cambridge Biosciences.
- ↑ "Personal homepage". School of Computer Science, University of Birmingham.
- ↑ "Google Scholar".
- ↑ "Google Scholar".
- ↑ "Google Scholar".
- ↑ "Google Scholar".
- ↑ Bader, Johannes M. (13 February 2010). Hypervolume-Based Search for Multiobjective Optimization by Johannes Bader. ISBN 9781450579131.
- ↑ "Closed Loop Evolutionary Multiobjective Optimization article". IEEE Computational Intelligence. doi:10.1109/MCI.2009.933095.
- ↑ "MIT Press Evolutionary Computation journal website".
- ↑ "Editors". Swarm Intelligence (Springer journal).
- ↑ "The EMO Website". www.emo-online.org.
- ↑ Wadern, Schloss Dagstuhl-Leibniz-Zentrum für Informatik GmbH, 66687. "Dagstuhl Seminar 12041: Learning in Multiobjective Optimization". www.dagstuhl.de.
{{cite web}}: CS1 maint: multiple names: authors list (link) - ↑ Wadern, Schloss Dagstuhl-Leibniz-Zentrum für Informatik GmbH, 66687. "Dagstuhl-Seminar 15031: Understanding Complexity in Multiobjective Optimization". www.dagstuhl.de.
{{cite web}}: CS1 maint: multiple names: authors list (link) - ↑ Wadern, Schloss Dagstuhl-Leibniz-Zentrum für Informatik GmbH, 66687. "Dagstuhl Seminar 18031: Personalized Multiobjective Optimization: An Analytics Perspective". www.dagstuhl.de.
{{cite web}}: CS1 maint: multiple names: authors list (link)
External links
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