Title: Statistical Reliability Inference and Maintenance Models
Abstract:
Hoang Pham is a Distinguished Professor and former Chairman (2007-2013) of the Department of Industrial and Systems Engineering at Rutgers University, New Jersey. Before joining Rutgers, he was a Senior Engineering Specialist with the Boeing Company and the Idaho National Engineering Laboratory. He has been served as Editor-in-Chief, Editor, Associate Editor, Guest Editor and board member of many journals. He is the Editor of Springer Book Series in Reliability Engineering, the Editor of World Scientific Book Series on Industrial and Systems Engineering, and has served as Conference Chair and Program Chair of over 40 international conferences. He is the author or coauthor of 6 books and has published over 170 journal articles and edited 12 books including Springer Handbook in Engineering Statistics and Handbook in Reliability Engineering. He has delivered over 40 invited keynote and plenary speeches at many international conferences. His numerous awards include the 2009 IEEE Reliability Society Engineer of the Year Award. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and the Institute of Industrial Engineers (IIE).
Lecturer: Hoang Pham
Date/Time: 10:00 – 12:00AM, 18 Dec, 2020
Online Platform:
Zoom Meeting link: https://us02web.zoom.us/j/87129316449?pwd=emlKVDczbmhSSHBrazVNVTk0R05Kdz09
Meeting ID: 87129316449
Passcode: 224390
Brief introduction of the lecturer:
With the help of the national foreign cultural and educational experts project platform, we invited outstanding professor Hoang Pham from Rutgers University, Department of industry and systems engineering to teach reliability mathematical modeling for the third time for all teachers and students, especially for undergraduates and postgraduates who are interested in system reliability research. The main contents include: statistical inference, counting process, reliability prediction, basic maintenance model. Welcome to participate.
Nanjing University of Aeronautics and Astronautics
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