Kai Goebel is a Principal Scientist in the System Sciences Lab at PARC. He is focused on leading research at the intersection of AI and cyber-physical systems for integration for our core business as well as for external partners. His particular interest is systems health management and autonomy for a broad spectrum of cyber-physical systems in the manufacturing, energy, transportation, aerospace, and defense sectors.
Prior to joining PARC, Kai worked at NASA Ames Research Center where he was the Area Lead for Discovery and Systems Health, leading a team of 70 people. The work spanned machine learning, physics modeling, quantum computing, and prognostics and systems health management as applied to aeronautics and space applications. Kai started his professional career at GE Corporate R&D where he developed and fielded data-driven analytics applications for manufacturing systems, energy applications, medical systems, and transportation systems.
Dr. Goebel received a Ph.D. from the University of California at Berkeley. He holds 18 patents and has published more than 300 papers in the field. In 2008 he co-founded the PHM Society. He currently holds an adjunct professor appointment at Lulea Technical University.