Plenary Speeches

  Plenary Speech I

Hiroshi Koezuka
Professor, College of Business Administration and Executive Director of Research Organization of Open Innovation and Collaboration Ritsumeikan University
Hiroshi Koezuka is Professor, College of Business Administration and Executive Director of Research Organization of Open Innovation and Collaboration Ritsumeikan University. He educational background is Doctoral Program, Graduate school economics, Ritsumeikan University finish. His academic degree is Ph.D., Business Administration. The main executive at his university is as follows. He served as Ritsumeikan University vice president in 2007-2008,and Ritsumeikan Chancellor Special Assistant in 2009-2011,
His specialized field is management strategy theory. His number of books is 13, soon, a single  author, 1 and joint author is 12. There is 19 for his thesis.
The main achievement related to his specialized field is as follows. Individual Work: Modern Semiconductor Corporation , Minerva Syobo, 1996. Individual Work :“Trend analysis of the semiconductor industry in Japan and China”, Ritsumeikan international affairs / Institute of International Relations and Area Studies. No.33, Institute of International Relations and Area Studies , Ritsumeikan University,2011. Individual Work:“Problem of offshore development in Japanese Software industry”,The Doshisha business review, No.64-5, The Association of Commerce Doshisha University,2013
His social holding concurrent posts is as follows. Management Chairperson of The Consortium of Universities in Kyoto(2007-2009), Council chairperson surrogate of small and medium enterprises, Shiga Prefecture(2011-2015), Director of Japan Scholarly Association for Asian Management(2012-), Director of The Society for Industrial Studies, Japan(2004-), and Director of The Japanese Association of Business Management for Long-Term Care(2014-)

Plenary Speech II

Zhaojun “Steven” Li
Department of Industrial Engineering and Engineering Management at Western New England University in Springfield, MA, USA
Dr. Li’s research interests focus on Reliability, Quality, and Safety Engineering in Product Design, Systems Engineering and Its Applications in New Product Development, Diagnostics and Prognostics of Complex Engineered Systems, and Engineering Management. He earned his doctorate in Industrial Engineering from the University of Washington in 2011. Dr. Li has over 50 publications in many journals and conference proceedings including IIE transactions, IEEE Transactions on Reliability, Reliability Engineering and System Safety, Quality Engineering, RAMS, ISERC, etc. He currently serves as Associate Editors for IEEE Transactions on Reliability and the International Journal of Performability Engineering. He has been actively serving on conference program committees and frequently invited to give keynote speeches at many international conferences. Prior to his career at academia, Dr Li has about 10 years industry experiences at both managerial and technical positions. His most recent industry position was a reliability team lead with Caterpillar Rail Division to support the company’s Tier 4 Locomotive New Four Stroke Engine and Gas-Diesel Dual Fuel Engine Development. He is an ASQ certified Reliability Engineer, and Caterpillar Six Sigma Black Belt.

Keynote Speech Title:
Issues and Challenges of Bayesian Statistical Inference by Integrating Disparate Prior Knowledge and Extreme Data
This talk is concerned with the issues and challenges of Bayesian statistical inference based decision making using disparate prior knowledge and extreme data. The effects of Bayesian inference due to rational and misspecified prior information as well as both extremely limited and abundant data are investigated. Taking system reliability analysis of complex engineering systems as examples, various Bayesian methods for system reliability analysis by effectively integrating various available sources of data and expert knowledge at both the subsystem and system levels are demonstrated. More specifically, three scenarios based on available information for the test data of a system and/or subsystems are studied using Bayesian inference techniques. The researchalso proposes the Bayesian melding method for integrating subsystem level priors with system level priors for both system and subsystem level reliability analysis. System reliability analysis results are compared between the Bayesian Melding method and the traditional approaches relying on system structure alone. Computational challenges for posterior inferences using the sophisticated Bayesian Melding method are addressed using Markov Chain Monte Carlo (MCMC) and adaptive Sampling Importance Re-sampling (SIR) methods. A variety of numerical examples with simulation results illustrate the applications of the proposed methods and provide insights for system reliability analysis using multilevel information.

Plenary Speech III

Ruolin Zhou
Assistant Professor at Western New England University


Dr. Ruolin Zhou is currently an assistant professor in the Department of Electrical and Computer Engineering of Western New England University (WNEU) in Massachusetts, USA. She received her B.S. in 2003 from Dalian Jiaotong University in China, M.S. in 2007 and Ph.D. in 2012 from Wright State University in the USA, all in Electrical Engineering. Her research interests include FPGA based and Software Defined Radio (SDR) based Cognitive Radio and Dynamic Spectrum Access, Wireless Communications, Real-time Embedded System, Wireless Sensor Networks, and Signal Processing. She is serving as a principle investigator on an SBIR project funded by the United States DoD (Department of Defense) to develop high performance high security next generation cognitive jamming systems. She is also serving as a principle investigator on a multiple-input multiple-output (MIMO) software defined radar project funded by Lockheed Martin. She is the author or co-author of over thirty papers in journals and conferences. She was the finalist of InterDigital & California Institute for Telecommunications and Information Technology Innovation Challenge Competition in 2012. She also has strong experience with software defined radio development. She has demonstrated cognitive radio transmission over multiple non-contiguous spectrum fragments in dynamically changing environment for the first time in the world. Such a demo was invited by the major conference on cognitive radio and dynamic spectrum access, IEEE DySPAN conference, to be presented in April of 2010 in Singapore. Recently, she demonstrated a cognitive radio in mobile environment and won the Best Demo Award of the flagship conference of IEEE Communication Society, IEEE Globecom, in December of 2010. She has served as Chair of Young Professionals of IEEE Springfield Section since May of 2015. She has served on technical program committee for the 7th International Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM2012) and IEEE Vehicular Technology Conference (VTC2013 and VTC2015). She also served as a session chair of IEEE Globecom 2012. She has been invited to be the guest editor of Mathematical Problems in Engineering, Special Issue on Recent Advancements in Signal Processing and Machine Learning in 2015.