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Kai Goebel: Closing Remarks

Bio:Kai Goebel is the Technical Area Lead of the Discovery and Systems Health Technology Area in the Intelligent Systems Division at NASA Ames Research Center. He also coordinates the Prognostics Center of Excellence and is the Technical Lead for Prognostics and Decision Making in NASAs System-wide Safety and Assurance Technologies Project. Prior to joining NASA in 2006, he was a senior research scientist at the General Electric Corporate Research and Development Center since 1997. Kai received his Ph.D at the University of California at Berkeley in 1996. He has carried out applied research in the areas of real-time monitoring, diagnostics, prognostics, and has fielded numerous applications for aircraft engines, transportation systems, medical systems, and manufacturing systems. He holds 18 patents and has co-authored more than 300 technical papers in the field of Integrated Vehicle Health Management (IVHM).

Kai was an adjunct professor of the Computer Science Department at Rensselaer Polytechnic Institute (RPI), Troy, NY, from 1998 – 2005, where he taught classes in Soft Computing and Applied Intelligent Reasoning Systems. He has been the co-advisor of eight Ph.D. students. Kai is also a member of several professional societies, including the American Society of Mechanical Engineers (ASME), the Association for the Advancement of Artificial Intelligence (AAAI), the American Institute of Aeronautics and Astronautics (AIAA), the Institute of Electrical and Electronics Engineers (IEEE), Verein Deutscher Ingenieure (VDI), the Society of Automotive Engineers (SAE), and the Prognostics and Health Management Society (PHM). He was the General Chair of the Annual Conference of the PHM Society, 2009, has given numerous invited and keynote talks, and held many chair positions at the PHM conference and the AAAI Annual meetings series. He is currently a member of the board of directors of the PHM Society and Associate Editor of the International Journal of PHM.

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