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个人简介
Michael Kaisers graduated from Maastricht University with a BSc in Knowledge Engineering in 2007 and a MSc in Artificial Intelligence in 2008. He earned the honor summa cum laude in both cases, while abbreviating the three-years bachelor's program to two years and complementing his master's program by an extra-curricular four-month research visit to Prof. dr. Simon Parsons at Brooklyn College, City University of New York.
In a nationwide competition, the Netherlands Organisation for Scientific Research (NWO) awarded him a TopTalent 2008 grant for his PhD research. In September 2008, he commenced his PhD position at Eindhoven University of Technology. From August 2009, the project continued at Maastricht University. He intensified his international research experience through a three-month research visit to Prof. dr. Michael Littman at Rutgers, State University of New Jersey, and published at various peer-reviewed workshops, conferences and journals.
From September 2010 to January 2012 he has chaired PhD Academy, which brings Maastricht PhD candidates together for social, educative and fun activities. He has also chaired the 4th Maastricht PhD conference (PhDC 2011) and the local organizing committee of the 9th European Workshop on Multi-agent Systems (EUMAS 2011). His dissertation coherently summarizes his PhD research and has been defended in December 2012.
Michael remains affiliated with Maastricht University as a visiting postdoctoral research fellow. From March to September 2013 he has filled the position of Director of Competence Center Agent Core Technologies in the Distributed Artificial Intelligence Laboratory at the Technical University Berlin. Since November 2013 he is pursuing his research at the Centrum Wiskunde & Informatica in Amsterdam.
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论文共 78 篇作者统计合作学者相似作者
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Zhe Wang,Petar Veličković,Daniel Hennes,Nenad Tomašev, Laurel Prince,Michael Kaisers,Yoram Bachrach,Romuald Elie, Li Kevin Wenliang, Federico Piccinini, William Spearman,Ian Graham,
Nature Communicationsno. 1 (2024): 1-13
arxiv(2023)
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Neural Computing and Applicationsno. 23 (2022): 21407-21407
NEURAL COMPUTING & APPLICATIONSno. 23 (2022): 21407-21407
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