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Speakers of ICSRS 2019
Prof. Michael Pecht
University of Maryland, USA
Chair Professor and Director Center for Advanced Life Cycle Engineering (CALCE) A. James Clark School of Engineering, USA
Prof Michael Pecht (25,000+ citations, 70+ 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 SAE Fellow and an IMAPS Fellow. He served as editor-in-chief of IEEE Access for six years, as editor-in-chief of IEEE Transactions on Reliability for nine years, editor-in-chief of Microelectronics Reliability for sixteen years, and editor of Circuit World. He has also 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 also a Professor in Applied Mathematics at UMd. He has written more than twenty books on product reliability, development, use and supply chain management. He has also written a series of books of the electronics industry in China, Korea, Japan and India. He has written over 700 technical articles and has 10 patents. 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: Breaking the Trust: How Suppliers Are Failing Their Customers
Abstract: When numerous well-known suppliers and original equipment manufacturers engage in deceptive practices, including falsifying product data or neglecting to report known defects, the fundamental question that arises is whether any claim from any company can be trusted. This presentation sheds light on the importance of tackling supply chain fraud more rigorously. This presentation discusses the current state of supply chain complexity and customer practices and then highlights the prevalence of fraud and its impact on all consumers. Examples of renowned companies that have either publicly acknowledged fraudulent practices or were caught in some level of deception in their supply of products are provided. Examining the different instances of fraud enabled us to identify cost reduction as a conjoint recurring cause, which formed the baseline to develop and suggest guidelines for fraud detection and risk mitigation.
Prof. TANG Loon Ching
National University of Singapore, Singapore
TANG Loon Ching is Professor at the Department of Industrial & Systems Engineering (ISE) in National University of Singapore (NUS). He is currently Director of Temasek Defence Systems Institute and a member of the Advisory Board of the Singapore Innovation and Productivity Institute. He has served as the Head of ISE Department from 2008-2015. LC Tang obtained his PhD in the field of operations research from Cornell University under the NUS Overseas Scholarship. He has published widely in many leading international journals in the field of IEOM. He was presented the IIE Transactions 2010 Best Application Paper Award and the prestigious Ralph A. Evans/P.K. McElroy Awards for the best paper presented at 2011 Reliability and Maintainability Symposium. The latter is the first time in its 58-year history that it went to authors affiliated to an Asian University. He is named 2014 IEOM Outstanding Educator by the IEOM Forum and is elected as the Fellow of International Society of Engineering Asset Management. Dr Tang is the Editor of Quality and Reliability Engineering International since January 2016 and has been on the editorial review board of the Journal of Quality Technology, the flagship journal of American Society for Quality, since 2006, among others. He is the main author of the book: Six Sigma: Advanced Tools for Black Belts and Master Black Belts (which won the inaugural Masing Book Prize by International Academy of Quality); and a co-author of Markov- Modulated Processes and Semiregenerative phenomena.
Speech Title: Beyond System Reliability: Enhancing Systems Resilience through Recovery and Learning for Re-configurability
Abstract: It is increasingly evident that global warming has induced more natural disasters of greater magnitude that posed threats and major disruptions to critical infrastructures and systems. This has led to the need to look beyond system reliability and focus instead on systems resilience. While resilience includes reliability as one of its key dimension as it tracks performance loss at system level as a result of subsystems failures, it also tracks recovery and the effect of learning from past disruptions. In this talk, a review of the current state of resilience research and four key dimensions of resilience will first be presented. This is followed by a discussion of recovery process and associated models and some findings on whether effective “learning” took place after major disruptions using US power grid data. This points to some systems design consideration in enhancing systems resilience.
Prof. Piero Baraldi
Politecnico di Milan, Italy
Piero Baraldi (BS in nuclear engng., Politecnico di Milano, 2002; European PhD in ‘Radiation science and engineering’, Politecnico di Milano, 2006) has been associate professor of Nuclear Engineering at the Department of Energy at the Politecnico di Milano (Italy) since 2015 and he has obtained the Italian national scientific qualification to function as full professor since 2015.
His main research efforts are currently devoted to the development of methods and techniques for system health monitoring, fault diagnostics, prognostics and maintenance. He is also interested in methodologies for rationally handling the uncertainty and ambiguity in the information.
He has been invited keynote Lecturer at the plenary sessions of the European Safety and Reliability Conference, ESREL 2014, at Wroclaw (Poland) and of the 2016 Prognostics and System Health Management Conference, at Chengdu (China). He has been invited to present 4 tutorials at international conferences. He has been functioning as Technical Programme Chair of the 2013 Prognostics and System Health Management Conference (PHM-2013), Milano (Italy) 2013, and as Technical Committee Co-Chair of the European Safety and Reliability Conference, ESREL 2014, Wroclaw (Poland), 2014. He is serving as editorial board member of three international scientific journals and he is associated editor of the ‘Journal of Risk and Reliability’.
He has been treasurer of the European Safety and Reliability Association (ESRA) from 2014 to 2018 and he is Chairman of the ESRA Technical Committee on “Prognostics and System Health Management”.
He is co-author of 2 books and more than 150 papers on international journals and proceedings of international conferences.
Speech Title: Prognostics and Health Management in the Energy Industry
Abstract: Prognostics and Health Management (PHM) provides information for effective condition-based and predictive maintenance for increasing productivity, optimizing operating performance, reducing lifecycle costs, extending operating periods between maintenance and reducing downtimes, frequency and severity of unanticipated failures.
As energy is directly related with all industrial activities, improving the reliability of energy delivery while reducing costs is a key issue in the global economy. Inevitably, then, the use of PHM has attracted great interest from industries involved in the production, transportation, distribution and sale of energy.
This keynote lecture will present the specific desiderata of PHM systems for the energy industry. This will be done with reference to the typical problems addressed by PHM, i.e. detecting incipient failures, classifying their causes, predicting the system Remaining Useful Life (RUL), with its corresponding uncertainty, and considering the exploitation of the PHM outcomes for performing condition-based and predictive maintenance. By way of examples of application, the main challenges towards the deployment of PHM systems and their effective integration in the operation and maintenance of energy industries will be discussed.
Prof. Francesco Di Maio,
Politecnico di Milano, Italy
Francesco Di Maio (Double EU-China PhD in Nuclear Engineering, 2010, Politecnico di Milano and Tsinghua University) is Associate Professor in Nuclear Power Plants at Politecnico di Milano (Milano, Italy). He is Partner of Advanced Reliability, Availability and Maintainability of Industries and Services (ARAMIS) Srl since 2014. In 2009-2010 he has been Research Fellow of the Science and Technology Programme (STFP) in China, financed by the European Commission, and he has been appointed as Senior Researcher in City University of Hong Kong. In 2016 he has been Project team member of the “Evaluation of the management and impacts of fusion and fission research supported by the Euratom Research and Training Programme 2014-2018 and previous Euratom Programmes”, contracted by Fondazione Politecnico and Ernst&Young under commitment of the Directorate-General for Reseach&Innovation of the European Commission. Starting from 2016, he has become Technical Peer reviewer for the Innovative Nuclear Research (INR) Integration Office of the Department of Energy (DOE) Office of Nuclear Energy, USA. He has been technical committee member for a number of international conferences. He has been Associate Editor of the International Journal of Performability Engineering (2011-2015). He has published more than 120 papers in peer-reviewed international journals and conferences. He is Co-Chair of the Technical Committee on Nuclear Industry of the European Safety and Reliability Association (ESRA) and Chair of the Italian IEEE Reliability Chapter.
Speech Title: Computational Risk Assessment: using Modelling and Simulation for Knowing Hazards and Threats
Abstract: Computational Risk Assessment (CRA) is a framework based on probabilistic and deterministic computational methods for the risk assessment of complex dynamic systems, like those of nuclear, aerospace, process industries and others. The computational modelling framework allows accounting for failure and recovery of system hardware and software components, evolving physical processes, control and operator actions (and their mutual interactions). The computational models are used to generate a large number of scenarios for deep exploration of the uncertain space of system evolution. Post-processing of the multitude of scenarios is, then, performed to classify them into system failures, near misses, safe states, and to calculate the system risk. Examples of application of CRA are presented on practical cases taken from the process and nuclear industry.