Biographical Sketch
Dr. John Sheppard is a Norm Asbjornson College of Engineering Distinguished Professor of Computer Science at Montana State University and previously was the RightNow Technologies Distinguished Professor in Computer Science at MSU. He holds a BS in computer science from Southern Methodist University and an MS and PhD in computer science from Johns Hopkins University. In 2007, he was elected as an IEEE Fellow "for contributions to system-level diagnosis and prognosis." Prior to entering academia, he was a Fellow at ARINC Incorporated in Annapolis, MD where he worked for almost 20 years. Dr. Sheppard performs research in probabilistic graphical models, deep learning, evolutionary and swarm-based algorithms, distributed optimization, and applications to system-level test, diagnosis, and predictive health. He has published over 200 papers in peer-reviewed conference proceedings and journals as well as two books on the subject of system-level diagnosis. In addition, Dr. Sheppard is active in IEEE Standards activities where, currently, he serves as a member of the IEEE Computer Society Standards Activities Board and is the Computer Society designated representative to IEEE Standards Coordinating Committee 20 on Test and Diagnosis for Electronic Systems. He is also the chair of the IEEE P2848 Prognostics and Health Management for Automatic Test Systems standards development working group under SCC20 and has served as an official US delegate to the International Electrotechnical Commission's Technical Committee 93 on Design Automation.
Education
- BS, Computer Science (magna cum laude), Southern Methodist University, 1983
- MS, Computer Science, The Johns Hopkins University, 1990
- PhD, Computer Science, The Johns Hopkins University, 1997