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Michael Goller received the M.Sc. and Ph.D. degrees in electrical engineering from the Graz University of Technology, Austria, in 2010 and 2013, respectively.
He has been appointed as the CTO of Detego GmbH (London/Graz, Austria) in 2014, where he is responsible for the development and implementation of the Detego SUITE, a highly scalable software platform for intelligent article management in the fashion retail industry based on the RFID technology. With his strong data and modeling related background, he continuously strives to solve business problems and optimize processes with the help of innovative technology and model driven analysis. His research interests include data driven design and modeling, Bayesian reasoning, and sensor fusion.
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论文共 16 篇作者统计合作学者相似作者
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ACM UMAP '19: PROCEEDINGS OF THE 27TH ACM CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATIONpp.104-112, (2019)
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization (2019)
e & i Elektrotechnik und Informationstechnikno. 3 (2016): 158-162
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