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Dr. John Sheppard is the RightNow Technologies Distinguished Professor in Computer Science at Montana State University and an Associate Research Professor in the Department of Computer Science at Johns Hopkins University. Has been elected as an IEEE Fellow "for contributions to system-level diagnosis and prognosis." Dr. Sheppard performs research in semantic modeling for knowledge discovery, Bayesian classification, dynamic Bayesian networks, recurrent neural networks, and reinforcement learning, all with an applied emphasis in system-level prognostics and health management. In addition, Dr. Sheppard is active in IEEE Standards activities. Currently, he serves as a member of the IEEE Computer Society Standards Activities Board and is the Co-Chair of the Diagnostics and Maintenance Control Subcommittee of IEEE Standards Coordinating Committee 20 on Test and Diagnosis for Electronic Systems. He has served as Vice Chair of SCC20 and as an official US delegate to the International Electrotechnical Commission's Technical Committee 93 on Design Automation. Within the Instrumentation and Measurement area, he does work in test and diagnosis of complex systems, uncertainty analysis, decision support, and applications of artificial intelligence and machine learning to problems in test and measurement.