Machine Learning For Cyber Physical Systems: Selected Papers From The International Conference Ml4cps 2020

Jürgen Beyerer
Edited by Alexander Maier , Oliver Niggemann
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Machine Learning For Cyber Physical Systems: Selected Papers From The International Conference Ml4cps 2020

Jürgen Beyerer
Edited by Alexander Maier , Oliver Niggemann
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Overview

130 PAGESENGLISH

Promotional Details
  • Published date: Dec 24, 2020
  • Language: English
  • No. of Pages: 130
  • Publisher: Springer Nature
  • ISBN: 9783662627457
  • Dimensions: 6.61" W x 1.0" L x 9.45" H

Prof. Dr.-Ing. Jürgen Beyerer is Professor at the  Department for Interactive Real-Time Systems at the Karlsruhe Institute of Technology. In addition he manages the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB.

Dr. Alexander Maier is head of group Machine Learning at Fraunhofer IOSB-INA. His focus is on the development of algorithms for big data applications in Cyber-Physical Systems (diagnostics, optimization, predictive maintenance) and the transfer of research results to industry. 

Prof. Oliver Niggemann got his doctorate in 2001 at the University of Paderborn with the topic "Visual Data Mining of Graph-Based Data". He then worked for almost 8 years in leading positions in the industry. From 2008-2019 he held a professorship at the Institute for Industrial Information Technologies (inIT) in Lemgo/Germany. Until 2019 Prof. Niggemann was also deputy head of the Fraunhofer IOSB-INA, which worksin industrial automation. On April 1, 2019 Prof. Niggemann took over the university professorship "Computer Science in Mechanical Engineering" at the Helmut-Schmidt-University in Hamburg / Germany. There he does research at the Institute for Automation Technology IfA in the field of artificial intelligence and machine learning for cyber-physical systems.


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