Special Sessions

■ QR2MSE 2024

■ Special Sessions

Proposals of special sessions/panels are invited. The aim of a special session/panel is to bring together researchers working on a specific topic of interests.

If you are interested in organizing a special session/panel, please send your proposal to the conference secretariat at icqrms@uestc.edu.cn as early as possible. The proposal should include the session/panel title, the scope and motivation of the session/panel, and the organizers and their brief CVs.

Both full papers and extended abstracts can be submitted to the conference and the special session should include more than 5 submissions.

■ Important Dates

Proposal Due       April 30, 2024
Abstract Due         May 20, 2024
Full Paper Due        June 5, 2024

■ Submission Notices

The same submission and review process will be followed for papers submitted to these special sessions/panels. If you want your paper considered for a special session/panel, please indicate so in your abstract submission. Direct specific questions on a special session/panel to its organizers.

(1) Special Session on “Reliability and Maintenance Planning for Renewable Energy SystemsOrganized by Special Session Chairs A.P. Jichuan Kang (Harbin Engineering University, China, Email: kangjichuan@hrbeu.edu.cn), Dr. He Li (University of Lisbon, Portugal, Email: he.li@centec.tecnico.ulisboa.pt). Please indicate the title of the Special Session, if you submit to a Special Session.

(2) Special Session on “Probabilistic modelling of the degradation in structures and systemsOrganized by Special Session Chairs Yi Zhang (Tsinghua University, China), Yan Dong (Harbin Engineering University, Yantai Research Institute, China), Peipei Li (Technical University Dortmund, Germany). Please indicate the title of the Special Session, if you submit to a Special Session.

(3) Special Session on “Safety of Waterborne TransportationOrganized by Special Session Chairs Prof. Bing Wu (Wuhan University of Technology, China), Prof. Weibin Zhang (Nanjing University of Science and Technology, China). Please indicate the title of the Special Session, if you submit to a Special Session.

(4) Special Session on “Intelligent Diagnostics and Prognostics with Sensor Configuration design for Industrial SystemsOrganized by Special Session Chairs Dr. Xueqian Zhou (Harbin Engineering University, China, Email: xueqian.zhou@hrbeu.edu.cn), Dr. Ke Feng (Xi’an Jiaotong University, China, Email: ke.feng@outlook.com.au), Dr. Zifei Xu (Liverpool John Moores Univeristy, UK, Email: z.xu@ljmu.ac.uk). Please indicate the title of the Special Session, if you submit to a Special Session.

(5) Special Session on “Predictive maintenance for intelligent manufacturing systemsOrganized by Special Session Chairs A.P. Zhen Chen (Shanghai Jiao Tong University, China, Email: chenzhendr@sjtu.edu.cn), Dr. Di Zhou (Donghua University, China, Email: zhoudi@dhu.edu.cn), Dr. Zhaoxiang Chen (Shanghai Jiao Tong University, UK, Email: magneto@sjtu.edu.cn). Please indicate the title of the Special Session, if you submit to a Special Session.

(6) Special Session on “Advanced Quality Modeling and Control Methods for Manufacturing EngineeringOrganized by Special Session Chairs Prof. Shichang Du (Shanghai Jiao Tong University, China, Email: lovbin@sjtu.edu.cn), A.P. Yiping Shao (Zhejiang University of Technology, China, Email: syp123gh@zjut.edu.cn). Please indicate the title of the Special Session, if you submit to a Special Session.

(7) Special Session on “Machine Learning-Assisted Uncertainty Quantification for Engineering StructuresOrganized by Special Session Chairs Dr. Yan Shi (Leibniz University Hannover, Germany, Email: yan.shi@irz.uni-hannover.de), Dr. Meng-Ze Lyu (Tongji University, China, Email: lyumz@tongji.edu.cn), A.P. Jingwen Song (Northwestern Polytechnical University, China, Email: jingwensong@nwpu.edu.cn), A.P. Pengfei Wei (Northwestern Polytechnical University, China, Email: pengfeiwei@nwpu.edu.cn), Prof. Michael Beer (Leibniz University Hannover, Germany; University of Liverpool, UK; Tongji University, China, Email: beer@irz.uni-hannover.de). Please indicate the title of the Special Session, if you submit to a Special Session.

(8) Special Session on Deep learning based fault diagnosis and prognostics under varying model development resources Organized by Special Session Chairs Dr. Weiwen Peng (Sun Yat-sen University, China, Email: pengww3@mail.sysu.edu.cn), Dr. Cheng-Geng Huang (University of Electronic Science and Technology of China, China, Email: cheng-geng.huang@uestc.edu.cn), Dr. Jun Zhu (Northwestern Polytechnical University, China, Email: j.zhu@nwpu.edu.cn). Please indicate the title of the Special Session, if you submit to a Special Session.

Keynote Speakers

Keynote Speakers

 Keynote Speaker 1

Dong Ho Park, Professor, Korea

Founder and Honorary President of the Korean Reliability Society
Fellow in the Korean Academy of Science and Technology (KAST)


Title: Maintenance and warranty policy for repairable system subject to lemon law conditions

Abstract: The search for an optimal maintenance and warranty policy has been a hot issue for a long time in the field of reliability engineering and a number of research results have been proposed in the literature. This presentation focuses on the maintenance and warranty policy for a repairable system subject to the “lemon law” conditions and its recent related works. The lemon law is a regulation to protect the customers from the defectives when the system failures occur repeatedly or the accumulated repair time exceeds a certain limit and is widely enforced over most industrialized nations. In most situations, the period during which the lemon law is effective is shorter than the warranty period and is set different from region to region. Recent research works on various situations are reviewed and the case for mutual interaction of the system components are briefly discussed as well.

Biography: Dong Ho Park is a professor, emeritus at Hallym University, Chuncheon, Korea. He received his B.S. degree in Applied Mathematics from Seoul National University, Seoul, Korea and M.S. and Ph.D. degrees from Florida State University, Tallahassee, USA, in 1980 and 1982, respectively. He was formerly an associate professor at University of Nebraska-Lincoln, USA, until 1995 and was a director of Statistics Division, Department of Mathematics and Statistics during 1992-1993. He is a founder of the Korean Reliability Society in 1999 and assumed the presidency of that society from 1999 to 2004. In 2009, he received a prestigious presidential medal for his contribution in developing the Korean science and technology and in 2010, he was elected as a fellow in the Korean Academy of Science and Technology(KAST). He also was a recipient of a Gallup award from the Korean Statistical Association in 2012. Since his retirement in 2012, he has been working as a research professor at Industry Academic Cooperation Foundation in Hallym University, Korea. At present time, he is an honorary president of The Korean Reliability Society. He has published a large number of research papers in various areas of reliability theory, including nonparametric classes of life distributions and hypotheses life testing, Bayesian estimation, software reliability, and system warranty and maintenance policy, in a wide variety of international journals.

 Keynote Speaker 2

Liudong Xing, PhD, Professor

University of Massachusetts, Dartmouth, USA


Title: Reliability in the Internet of Things

Abstract: The Internet of Things (IoT) aims to enable seamless connections between people and diverse objects, transforming our society toward becoming efficient, smart, and convenient incurring potentially vast economic and environmental benefits. During the past decade, the IoT technology has developed rapidly in various application domains, spanning from smart healthcare to smart energy, smart manufacturing to smart agriculture, smart environmental monitoring to smart ocean, smart cities to smart supply chains, and so on. Due to the critical nature of IoT applications, reliability is a vital requirement for deploying and operating robust IoT systems. Based on a layered IoT architecture, this talk presents the reliability-related issues and research on IoT systems. Particularly, reliability modeling, analysis, and design issues and solution methods will be discussed for the IoT perception technologies, IoT data communications, IoT support technologies, and IoT applications and services. Several open problems in the reliability of IoT will also be presented.

Biography: Liudong Xing is a Professor at the University of Massachusetts, Dartmouth, USA. She received her PhD degree in Electrical Engineering from the University of Virginia, Charlottesville in 2002. Her research interests include reliability and resilience modelling, analysis and optimization of complex systems and networks. She is the author or co-author of over 300 journal articles and three books entitled “Reliability and Resilience in the Internet of Things”, “Binary Decision Diagrams and Extensions for System Reliability Analysis”, and “Dynamic System Reliability: Modeling and Analysis of Dynamic and Dependent Behaviors”. Prof. Xing has received multiple teaching and scholar awards, including the 2015 Changjiang Scholar Award. She was also corecipient of 2018 Premium Award for Best Paper in the journal of IET Wireless Sensor Systems, and the Best (Student) Paper Award at several international conferences. She currently serves as Associate Editor or Editorial Board member for multiple journals including IEEE Internet of Things Journal, Reliability Engineering & System Safety, IEEE Access, etc. She is IEEE ComSoc Distinguished Lecturer for the class of 2024-2025. She has been the IEEE ComSoc IoT-AHSN TC SIG chair for “IoT in Tactile Internet” since 2023. She is a fellow of the International Society of Engineering Asset Management and a senior member of IEEE.

 Keynote Speaker 3

David Coit, PhD, Professor

Rutgers University, Piscataway, NJ, USA


Title: Maintenance and Design Optimization for Systems of Dependent Degrading Components

Biography: David Coit is a Professor in the Department of Industrial & Systems Engineering at Rutgers University, Piscataway, NJ, USA, with visiting professor positions at Universite Paris-Saclay, Paris, France and Tsinghua University, Beijing, China. His current teaching and research involves system reliability modeling and optimization, and energy systems optimization. He has over 140 published journal papers and over 100 peer-reviewed conference papers (h-index 64). He is currently an Associate Editor for IEEE Transactions on Reliability and Journal of Risk and Reliability and for 15 years was a Department Editor for IISE Transactions. His research has been funded by USA National Science Foundation (NSF), U.S. Army, U.S. Navy, industry, and power utilities. His NSF grants included a CAREER grant to develop new reliability optimization algorithms considering uncertainty. He was also the recipient of the P. K. McElroy award, Alain O. Plait award and William A. J. Golomski award for best papers and tutorials at the Reliability and Maintainability Symposium (RAMS). Prof. Coit 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 fellow of IISE.