Tutorial Speakers:

Kailash C. Kapur, Professor Emeritus, University of Washington, USA

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Dr. Kailash [Kal] C. Kapur is a Professor Emeritus of Industrial & Systems Engineering in the College of Engineering at the University of Washington, Seattle. He was the Director of Industrial Engineering at the University of Washington from January 1993 to September 1999. He was a Professor and the Director of the School of Industrial Engineering, University of Oklahoma from 1989-1992 and a professor in the Department of Industrial and Manufacturing Engineering at Wayne State University, Detroit, Michigan. Dr. Kapur received the Ph. D. degree in Industrial Engineering & Operations Research from the University of California, Berkeley, California. He has co-authored three books on reliability engineering and published over 100 research papers. He received the Allan Chop Technical Advancement Award from the Reliability Division and the Craig Award [twice] from the Automotive Division of American Society for Quality. He is a Fellow of American Society for Quality, a Fellow of the Institute of Industrial Engineers, and a registered professional engineer. LinedIn Website: https://www.linkedin.com/in/kckapur/.

Past, Present and Future Directions and Advances in Reliability

Rob Randall, Emeritus Professor, University of New South Wales (UNSW), Sydney, Australia

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Bob Randall is a visiting Emeritus Professor in the School of Mechanical and Manufacturing Engineering at the University of New South Wales (UNSW), Sydney, Australia, which he joined in 1988. Prior to that, he worked for the Danish company Brüel & Kjær for 17 years, developing their condition monitoring systems, after ten years’ experience in the chemical and rubber industries in Australia, Canada and Sweden. His book “Frequency Analysis”, published by Brüel & Kjær with the last edition in 1987, was widely distributed. He was promoted to Associate Professor in 1996 and to Professor in 2001, and was made an Emeritus Professor on his retirement in 2008. He has degrees in Mechanical Engineering and Arts (Mathematics, Swedish) from the Universities of Adelaide and Melbourne, respectively. He is the invited author of chapters on vibration measurement and analysis in a number of handbooks and encyclopedias, and a member of the editorial boards of three journals. His book Vibration-based Condition Monitoring was published in 2011 by Wiley with a new edition pending. He is the author of more than 350 papers in the fields of vibration analysis and machine diagnostics, and has supervised seventeen PhD projects in those areas. He has lectured in English, French, German, Danish, Swedish and Norwegian. From 1996 to 2011 he was Director of the DSTO (Defence Science and Technology Organisation) Centre of Expertise in Helicopter Structures and Diagnostics at UNSW, researching diagnostics and prognostics of gears and bearings in helicopter gearboxes and gas turbine engines. He is still active in research, for example being a co-author of thirteen journal papers in the last two years.

Mechanical Applications of Cepstrum Analysis in Machine and Structural Health Monitoring

Professor David W. Coit, Rutgers University, Piscataway, NJ USA
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David W. Coit is a Professor in the Department of Industrial & Systems Engineering at Rutgers University, Piscataway, NJ, USA, and he currently holds a Visiting Professor position at Tsinghua University, Beijing, China. His current teaching and research involves system reliability modeling and optimization, and energy systems optimization. His research has been funded by National Science Foundation (NSF), U.S. Army, U.S. Navy, industry, and power utilities. He has been awarded several NSF grants, including a CAREER grant from NSF to develop new reliability optimization algorithms considering uncertainty. He has over 120 published journal papers and over 90 peer-reviewed conference papers. He was also the recipient of the P. K. McElroy award, Alain O. Plait award and Willian A. J. Golomski award for best papers and tutorials at the Reliability and Maintainability Symposium (RAMS). He received a BS degree in mechanical engineering from Cornell University, an MBA from Rensselaer Polytechnic Institute, and MS and PhD in industrial engineering from the University of Pittsburgh. He is a Department Editor for IISE Transactions and an Associate Editor for IEEE Transactions on Reliability and the Journal of Risk and Reliability.

History of System Reliability Optimization

Enrico Zio Professor at the Centre for research on Risk and Crises (CRC) of Ecole de Mines, ParisTech, PSL University, France and Professor and President of the Alumni Association at Politecnico di Milano, Italy
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Enrico Zio received the MSc degree in nuclear engineering from Politecnico di Milano in 1991 and in mechanical engineering from UCLA in 1995, and the Ph.D. degree in nuclear engineering from Politecnico di Milano and in probabilistic risk assessment at MIT in 1996 and 1998, respectively. He is currently full professor at the Centre for research on Risk and Crises (CRC) of Ecole de Mines, ParisTech, PSL University, France, full professor and President of the Alumni Association at Politecnico di Milano, Italy, eminent scholar at Kyung Hee University, Republic of Korea, distinguished guest professor at Tsinghua University, Beijing, China, adjunct professor at City University of Hong Kong, Beihang University and Wuhan University, China and Co-Director of the Center for REliability and Safety of Critical Infrastructures (CRESCI) and the sino-french laboratory of Risk Science and Engineering (RISE), at Beihang University, Beijing, China. In 2020, he has been awarded the prestigious Humboldt Research Award in Germany. His research focuses on the modeling of the failure-repair-maintenance behavior of components and complex systems, for the analysis of their reliability, maintainability, prognostics, safety, vulnerability, resilience and security characteristics, and on the development and use of Monte Carlo simulation methods, artificial techniques and optimization heuristics. He is author and co-author of seven books and more than 500 papers on international journals, Chairman and Co-Chairman of several international Conferences, associate editor of several international journals and referee of more than 20.

Machine Learning in Data-Driven Prognostics and Health Management (PHM) for condition-based and predictive maintenance
Huairui (Harry) Guo, Technical Fellow on Reliability Quality and Statistics, Fiat Chrysler Automobiles US LLC, USA
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Huairui (Harry) Guo obtained a Ph.D. degree in Systems and Industrial Engineering from the University of Arizona in 2004. He is a Certified Reliability Professional (CRP), a Certified Reliability Engineer (CRE), and a Certified Quality Engineer (CQE). He is the Alan O. Plait Award recipient for Tutorial Excellence at RAMS 2018, Best Research Paper Award (2007) and the William Golomski Best Paper Award recipient(2013) from IIE (Institute of Industrial Engineers), and received the Stan Ofsthun Best Paper Award (2008, 2010, 2014, 2016) from SRE (Society of Reliability Engineers). He is currently the Technical Fellow on Reliability Quality and Statistics at FCA US LLC. He is working on reliability growth, vehicle launch readiness KPIs, warranty cost prediction, customer usage data mining for connected vehicles, and statistical method applications on quality and reliability engineering. He also provides internal reliability, quality, and statistics trainings for release, design, quality, and reliability engineers in the company. Before joining FCA, Harry was the Director of the Theoretical Development at ReliaSoft, where he led the team to develop data analytics software packages Weibull++, DOE++, ALTA, RGA, and BlockSim. LinkedIn website: https://www.linkedin.com/in/huairui-harry-guo-16a1bb14

Design a Practical and Effective Reliability Test

Universidade Federal de Pernambuco, Associate Professor, and Alexandre Ramalho Alberti, Assistant Professor, Universidade Federal de Pernambuco (UFPE), Brazil
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Cristiano Cavalcante is Associate Professor in the Management Engineering Department at Universidade Federal de Pernambuco (UFPE) since 2006. He obtained his PhD in 2005 from the Universidade Federal de Pernambuco for work on Multicriteria Decision Models to Support Maintenance Problems. He has held a research fellowship from the Brazil National Research Council (CNPq) since 2009. Currently, is the leader of RANDOM (Research Group on Risk and Decision Analysis in Operations and Maintenance), a group partner of the INCT-INSID (National Institute of Information and Decision Systems). Dr Cavalcante is a Fellow of The Institute of Mathematics and Its Applications (IMA) of the UK, Board Member of the INFORMS - Multiple Criteria Decision Making Section and senior Member of IEEE society. His research interests include Operations Research, Maintenance modelling, Logistics and Multicriteria Decision Making/Aiding.
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Alexandre Ramalho Alberti is Assistant Professor in the Management Engineering Department at Universidade Federal de Pernambuco (UFPE) since 2020. He is Mechanical Engineer and received his Master and PhD degrees in Management Engineering from UFPE, Brazil. Currently, he is member of the RANDOM (Risk Analysis and Decisions on Operations and Maintenance Research Group), a group partner of the INCT-INSID (National Institute of Information and Decision Systems). His research interests include Operations Research, Maintenance Engineering and Multicriteria Decision Making/Aiding.