Invite Speeches


Daqing Li
Beihang University, China
 

Biodata: English coming......
李大庆,北京航空航天大学研究员、博导、首届校务委员会委员。2018年获国家优秀青年科学基金。围绕复杂系统可靠性和弹性管理,在PNAS、Nature Physics、Nature Communications、RESS等国际著名期刊上发表了研究成果,国家自然科学基金委、中国日报、科技日报等专文报道。主持了国自然、装发预研等科研项目。获得国防科技进步一等奖、航空学会技术发明一等奖。担任了管理科学与工程学会理事,“双法”研究会高教分会副理事长,系统工程学会系统可靠性专委会常务理事,中国智能交通协会青专委专家。(More)

 

Xiaoyan Zhu
University of Chinese Academy of Sciences, China
 

Biodata: English coming
研究方向:管理科学与工程、可靠性优化、物流供应链库存管理
工作经历:2014-04~现在, 中国科学院大学, 教授, 2008-01~2014-04,美国田纳西大学, 助理教授, 2005-09~2007-12,美国田纳西大学, 博士后
教育背景:2003-01--2005-12 美国德州农工大学 博士, 2001-08--2002-12 美国德州农工大学 硕士, 2000-06--2001-06 新加坡南洋理工大学 硕士, 1995-10--2000-06 清华大学 工学学士 (More)

Peng Wang
Commercial Aircraft Corporation of China Ltd, China
 

Biodata: English coming
发表论文40余篇、著作3部、申报专利5项。民航科学技术二等奖2项,三等奖1项。中国民航大学首批蓝天青年学者。中国民航大学十佳教师、优秀教师标兵、青年骨干教师等多项称号。主持论证的系统安全性等三个大型适航审定实验室,2015年获得国家大飞机重大专项批复,建设经费近2.8亿。(More)

Yanfu Li
Tsinghua University, China
 

Biodata: English coming
李彦夫,清华大学工业工程系教授,清华大学质量与可靠性研究院副院长。2011-2016年任教于法国巴黎中央理工与高等电力学院。长期致力于可靠性建模、评价与优化方法的研究,以及将其应用于高铁、核电、电力等工业系统,取得了一系列原创性成果。代表性论文发表在《IEEE Transactions》系列、《IISE Transactions》、《INFORMS Journal on Computing》(UTD24期刊之一)、《International Conference on Software Engineering》(软件工程顶会)等著名国际期刊与会议。发表论文总数超100,WOS数据库总被引用次数超1200,H-index 23。主持国家自然科学基金重点项目1项,主持科技部国家重点研发计划课题1项、参与1项,制定国家标准1项,承担了华为、商飞、中广核、三菱重工、南方电网、西安铁路局、阿尔斯通公司、法国电力公司等企业委托项目,项目总经费超千万元人民币,多项成果在企业得到应用,取得了较为明显的经济效益。获得IEEE与IISE高级会员(Senior Member),法国研究指导资格 (Habilitation à diriger des Recherches),法国大学正教授资格(Qualification aux fonctions de professeurs des universités)等资格。担任可靠性旗舰期刊《IEEE Transactions on Reliability》副主编、IEEE Reliability Society管理委员会委员、中国系统工程学会系统可靠性专委会副主任委员、多个国际会议联合主席、国家自然基金评审专家、北京市自然基金评审专家、荷兰研究理事会Dutch Research Council (NWO)评审专家。(More)

Shaomin Wu
University of Kent, UK

Biodata: Professor Shaomin Wu is currently Programme Director for the MSc Business Analytics and coordinates the Student Implant Scheme. He received his PhD and MSc in Applied Statistics. Before moving to the University of Kent, he was a senior lecturer in risk and decision analysis at Cranfield University. He was a research fellow in machine learning at Bristol University. Shaomin has six years’ industry experience. He was a senior data analyst in a company in Shanghai after his PhD graduation and a senior data analyst in a credit card company in the UK. Shaomin serves on the editorial boards of six journals including: IISE Transactions, Reliability Engineering and System Safety, IMA Journal of Management Mathematics. He has co-chaired 4 international conferences, has been invited to act as scientific committee members by more than 25 international conferences, has edited 5 journal special issues, and has published more than 90 papers in scholarly journals. Shaomin was honoured to be within the top 2% Ranking of Scientists in the World by Stanford University. (More)

Zhigang Tian
University of Alberta, Canada

Biodata: Dr. Tian’s research is focused on Prognostics, Pipeline integrity management, Reliability, Condition based maintenance, Renewable energy systems, Condition monitoring, Signal processing, and Finite element modeling. His research papers have appeared in IEEE Transactions on Reliability, Mechanical Systems and Signal Processing, Renewable Energy, and IIE Transactions, among others. He received the Best Paper Award of “Quality Control and Reliability” in the 2005 IIE Industrial Engineering Research Conference. He is also the recipient of the 2011 Petro-Canada Young Innovator Award (Technology, Industry, and the Environment). (More)

Rong Pan
Arizona State University, USA


Biodata: Rong Pan received his doctorate in industrial engineering from the Pennsylvania State University in 2002. Prior to coming to the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University in 2006, he was an assistant professor of industrial engineering at the University of Texas at El Paso. His research interests include quality and reliability engineering, design of experiments, time series analysis, and statistical learning theory. He has published in Journal of Quality Technology, IEEE Transactions on Reliability, IIE Transactions on Quality and Reliability Engineering, Quality and Reliability Engineering International, among others. His current projects are supported by National Science Foundation (NSF). Science Foundation of Arizona (SFAz), Arizona Department of Transportation (ADOT) and U.S. Department of Education (DoEd). (More)

Yisha Xiang
Texas Technology, USA

Biodata: Research Interests: System reliability modeling and optimization, Maintenance Optimization, Inventory Control, Operations Research, Personal Information, Curriculum Vitae
Education: Ph.D., Industrial Engineering - University of Arkansas, 2009, M.S., Industrial Engineering - University of Arkansas, 2006, B.S., Industrial Engineering - Nanjing University of Aeronautics & Astronautics, China, 2003 (More)
 

Bin Liu
University of Strathclyde, UK

Biodata: I am a lecturer in the Department of Management Science. Before that I was working as a Postdoctoral Fellow in University of Waterloo, Canada. I received the B.S. degree in automation from Zhejiang University, China, and the Ph.D. degree in industrial engineering from City University of Hong Kong, Hong Kong. My research interests include risk analysis, reliability and maintenance modeling, decision making under uncertainty, and data analysis. (More)

Bae Suk Joo
Hanyang University, korea

Biodata: coming

Xiao Liu
University of Arkansas, USA

Biodata: Dr. Xiao Liu is an Assistant Professor at the Department of Industrial Engineering, University of Arkansas. Before that, he was a Research Staff Member (RSM) at IBM Thomas J. Watson Research Center, Yorktown Heights, New York (2015~2017), and IBM Smarter Cities Research Collaboratory Singapore (2012~2015). From 2013 to 2016, he served as an Adjunct Assistant Professor at the Department of Industrial and Systems Engineering, National University of Singapore. Dr. Liu's research focuses on Physics-Informed and Domain-Aware Data-Driven Methodologies for Engineering Applications. (More)

Haitao Liao
University of Arkansas, USA

Biodata: Dr. Haitao Liao is John and Mary Lib White Endowed Systems Integration Chair and Professor in the Department of Industrial Engineering at the University of Arkansas – Fayetteville.
He received a Ph.D. degree in Industrial and Systems Engineering from Rutgers University in 2004. He also earned M.S. degrees in Industrial Engineering and Statistics from Rutgers University, and a B.S. degree in Electrical Engineering from Beijing Institute of Technology. Right before joining Arkansas in 2015, he was on the SIE faculty at University of Arizona.
His research interests include: (1) reliability models, (2) maintenance and service logistics, (3) fault diagnostics and prognostics, (4) applied operations research, and (5) probabilistic risk assessment. His research has been sponsored by the National Science Foundation, Department of Energy, Nuclear Regulatory Commission, Oak Ridge National Laboratory, and industry. The findings of his group have been published in IISE Transactions, European Journal of Operational Research, Naval Research Logistics, IEEE Transactions on Reliability, IEEE Transactions on Cybernetics, IEEE Transactions on Automation Science and Engineering, Annals of Operations Research, The Engineering Economist, and Reliability Engineering & System Safety, etc. (More)

 

Tongdan Jin
Texas State University, USA

Biodata: Dr. Jin is a professor of Ingram School of Engineering, and currently serves as program coordinator of Industrial Engineering. Prior to academia, he had 5-year reliability management experience in Teradyne Inc., Boston. In that capacity, he led the initiatives to manage the after-sales supply chain for Teradyne’s world-wide semiconductor tester fleet.
His research is cross-disciplinary and resides at the interface of operations management, renewable energy, reliability optimization, and supply chain sustainability. Particularly, statistics, optimization, machine learning, and data analytics are used as the key methodologies to tackle both theoretical and practical problems associated with manufacturing, transportation, energy, finance, economics, and defense sectors.
His research has been sponsored by NSF, USDA, and the U.S. Department of Education. He is the author of the new book “Reliability Engineering and Services” published by Wiley in 2019. He garnered several best paper awards, including the Evans-McElroy best paper in 2014 Reliability and Maintainability Symposium. Currently he serves as an associate editor of IISE transactions. (More)

Piao Chen
Delft University of Technology, Netherland

Biodata: Education: PhD in Industrial Systems Engineering and Management, National University of Singapore, Oct 2017, BEng in Industrial Engineering & Management, Shanghai Jiao Tong University, China, Jun 2013, BEco in Finance, Shanghai Jiao Tong University, China, Jun 2013
Research Interests: Data Analysis: applications in healthcare systems, manufacturing processes and environments, Statistical Inference: uncertainty quantification, robust estimation, Bayesian inference, Reliability Engineering: survival analysis, accelerated testing and degradation modelling (More)

 

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