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Chinese

曹孝櫟 / Dr. Shiao-Li (Charles) Tsao

 

 

曹孝櫟 / Dr. Shiao-Li (Charles) Tsao

Director, Institute of Computer Science

NCTU

 Education:

  • Ph.D., Dept. of Engineering Science, National Cheng Kung University

 Experiences:

 

  • Professor, Dept. of Computer Science, National Chiao Tung University, Taiwan

  • Director, Institute of Computer Science and Engineering, National Chiao Tung University

  • Visiting Professor, Dept. of Computer Science, ETH Zurich, Switzerland, 2010, 2011, 2012-2013

  • Researcher, ITRI/CCL, 1999-2004

  • PI, Sensing, Analyzing, and Computing Technologies for Industrial Big Data based on Field Studies, Ministry of Science and Technology, 2017-

 

 Biography:

 

 Abstract:

 

Industrial Internet of Things (IIoT) is considered as a key and enabling technology for smart manufacturing. However, data analytics for IIoT are very challenging due to noisy data, various data analytic methods, domain specific knowledge, tightly coupling between target services, and possible sensing and AI technologies, etc. In this talk, we first present our results and findings from field studies for IIoT data analytic services. Based on these experiences, we share some important lessons learned and summarize our suggestions for IIoT and smart manufacturing. 

 

 

 

 

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