Prof. Michael Pecht, University of Maryland, USA

Prof Michael Pecht (73,000+ citations, 120+ H-Index) has a BS in Physics, an MS in Electrical Engineering and an MS and PhD in Engineering Mechanics from the University of Wisconsin. He is a Professional Engineer, an IEEE Fellow, a PHM Society Life Fellow, an ASME Fellow, an ASM Fellow, an SAE Fellow and an IMAPS Fellow. He served as editor-in-chief of Elsevier’s ePrime Journal for four years, IEEE Access for six years, IEEE Transactions on Reliability for nine years, Microelectronics Reliability for sixteen years, and Circuit World. He served on three U.S. National Academy of Science studies, two US Congressional investigations in automotive safety, and as an expert to the U.S. FDA. He is the Director of CALCE (Center for Advanced Life Cycle Engineering) at the University of Maryland (UMd), which is funded by over 150 of the world’s leading electronics companies at more than US$6M/year. He is a Distinguished University Professor at UMd where he holds a faculty position as a Chair Professor in Mechanical Engineering and a Professor in Applied Mathematics, Statistics and Computation. He has written more than thirty books, 1000 articles and 13 patents related to product reliability, development, use and supply chain management. In 2015 he was awarded the IEEE Components, Packaging, and Manufacturing Award for visionary leadership in the development of physics-of-failure-based and prognostics-based approaches to electronics reliability. He was also awarded the Chinese Academy of Sciences President's International Fellowship. In 2010, he received the IEEE Exceptional Technical Achievement Award for his innovations in the area of prognostics and systems health management. In 2008, he was awarded the highest reliability honor, the IEEE Reliability Society’s Lifetime Achievement Award.

Speech Title: Predicting Electronics Reliability: What the Best Companies are Doing
 Abstract:The urgency to deploy new technologies and capabilities often leads to systems being fielded without having first demonstrated adequate reliability. Deficient systems cost money and are much more likely to lead to recalls, require extra maintenance, and cause general customer dissatisfaction. Reliability prediction methods are used to estimate the life of electronics systems and help assess the risks prior to deployment.  This presentation overviews the handbook, test, physics of failure and data-driven methods used for reliability prediction of electronics systems and discuss why some should never be used and how some can be improved.  The use of reliability science and machine learning (data analytics) will be presented to show how the best companies are addressing reliability prediction.
To be added soon.

 

Prof. Michael Beer, Hannover University, Germany

Michael Beer is Professor and Head of the Institute for Risk and Reliability, Leibniz Universität Hannover, Germany. He is also part time Professor at the University of Liverpool and guest Professor at Tongji University and Beijing University of Science and Technology, China. He obtained a doctoral degree from Technical University Dresden, Germany, and worked for Rice University, National University of Singapore, and the University of Liverpool, UK. Dr. Beer’s research is focused on uncertainty quantification in engineering with emphasis on imprecise probabilities. Dr. Beer is Editor in Chief of the ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A Civil Engineering and Part B Mechanical Engineering. He is also Editor in Chief (joint) of the Encyclopedia of Earthquake Engineering, Associate Editor of Mechanical Systems and Signal Processing as well as Information Sciences, and Editorial Board Member of Engineering Structures, Structural Safety, Computers and Structures, Probabilistic Engineering Mechanics and several other international journals. He has won several awards including the International Academic Contribution Award of the Chinese Society for Vibration Engineering 2024 and the Alfredo Ang Award on Risk Analysis and Management of Civil Infrastructure of ASCE 2022. Dr. Beer is the past Chairman of the European Safety and Reliability Association (ESRA), President-elect of the International Safety and Reliability Association (IASSAR) for 2027-2031, and a Co-Chair of the Risk and Resilience Measurements Committee (RRMC), Infrastructure Resilience Division (IRD), ASCE. He is serving on the Executive Board of the European Association of Structural Dynamics (EASD), and on the Board of Directors of the International Association for Probabilistic Safety Assessment and Management (IAPSAM). He is a Fellow of the Alexander von Humboldt-Foundation and a Member of ASCE (EMI), ASME, CERRA, IACM and GACM.

Speech Title: TBA
 Abstract:
To be added soon.