Prof. MengChu Zhou, IEEE Fellow

New Jersey Institute of Technology, USA

Prof. MengChu Zhou, received a bachelor's degree from Nanjing University of Science and Technology in 1983; received a master's degree from the Department of Automatic Control of Beijing Institute of Technology in 1986, and joined the Computer Application Research Institute of the Ministry of Ordnance Industry in the same year; Ph.D. from the Institute of Technology. From 1987 to 1990, he served as an assistant researcher at the CIM Manufacturing Center of Rensselaer Polytechnic Institute and the New York State Productivity and Technology Transfer Center. Since 1990, he has served as assistant professor, associate professor, full professor and distinguished professor at the New Jersey Institute of Technology in the United States. He was awarded tenure in 1995. Founded and hosted the Discrete Event Systems Laboratory.
From 1987 to 1990, Dr. Zhou served many famous professors (including his doctoral supervisor F. DiCesare, vice president of IEEE System Man and Cybernetics Society, A. Sanderson, chairman of IEEE Robotics and Automation Society, director of Electrical and Computer Engineering Department and IEEE Under the guidance of A. Desrochers, Editor of Robotics and Automation Magazine, he is engaged in the research of computer integrated manufacturing systems, and applies the research results to the manufacturing systems of famous companies such as General Motors, IBM, Johnson & Johnson, etc., which contributes to the concept and method of CIMS in today's Contributed to popularization and application.
Since 1990, Dr. Zhou has taught in the Department of Electrical and Computer Engineering of New Jersey Institute of Technology, engaged in the basic theory and engineering application of Petri nets, the modeling, analysis and control mechanism of computer integrated systems, modern enterprise design, automatic disassembly and Research on recycling systems, multiple life cycles, wireless sensor networks, wireless communication and control, etc. He is the project leader and scientific research backbone of the New Jersey Manufacturing System Research Center and the Multiple Life Cycle Engineering Research Center jointly funded by the New Jersey Science and Technology Council, the National Institute of Standards and Technology, and dozens of high-tech companies including Lucent, IBM, and AT&T. In the past 20 years, it has been supported by government departments such as the National Science Foundation (NSF), the Department of Defense, the National Institute of Standards and Technology, the National Aeronautics and Space Administration, and the New Jersey Science and Technology Commission, as well as engineering foundations and more than a dozen companies. More than 12 million US dollars in research funding, hosted and participated in more than 50 research projects.

Prof. Dr. Yongsheng Ma
University of Alberta, Canada

Y.-S. Ma has been a full Professor of the Dept. of Mechanical Engineering since 2013 with the University of Alberta. Dr. Ma has also been a registered Professional Engineer with APEGA, Canada since 2009. Currently he teaches capstone design projects, engineering economics and manufacturing processes. His research areas include interdisciplinary heavy oil recovery production tooling engineering, feature-based product and process modeling, plastic molding simulation and mold design optimization, CAD/CAE integration, CADCAM, ERP informatics modeling, and product lifecycle management. Dr. Ma received his B.Eng. degree from Tsinghua University, Beijing in 1986, M.Sc. and Ph.D. degrees from UMIST, UK in 1990 and 1994 respectively. Before joining U of A, from 2000 to 2007, he had been an Associate Professor with Nanyang Technological University, Singapore; and from 2007 to 2013, with University of Alberta. He served as an associate editor of IEEE Transaction of Automation Science and Engineering from 2009 to 2013; and since 2012, has been an editor of Advanced Engineering Informatics. Dr. Ma won ASTech award sponsored by Alberta Science and Technology Leadership Foundation jointly with Drader Custom Manufacturing Ltd in 2012. He started his career as a Lecturer from Ngee Ann Polytechnic, Singapore in 1993, and then from 1996 to 2000, he was a Senior Research Fellow and Group Manager at Singapore Institute of Manufacturing Technology (SIMTech).

Speech Title--Feature-based cyber-physics modeling in complex energy production systems

Speech Abstract--Cyber-Physics System (CPS) has been recognized as the core concept in modern industrial trends, especially related to manufacturing sector. It has been the new discovery by the author that the similar CPS concept, feature-based CPS, can be applied to complex energy production systems such as SAGD process in oilsands development in Canada. For example, bitumen production involves efficient performance of the underground tooling which again depends on the semantics knowledge about and the effective control of the physical world phenomenon – SAGD process. Virtual simulation could be helpful to understand and control the phenomenon. This presentation try to address the feature-based CPS approach with some in depth research results and multi-disciplinary collaboration. For example, computational fluid dynamics (CFD) is a powerful tool to analyze the flow field and then improve design. However, the use of CFD still requires strong expertise and extensive training, which places a barrier for its broader application. Feature-based CAD/CAE integration improves the usability via two new types of engineering features, fluid physics feature and dynamic physics feature. They convey the simulation intent and enable dynamic CFD solver setup automation and robust simulation model generation. Further, the association between simulation intent and design intent which is conveyed by another newly defined fluid functional feature is suggested to achieve seamless integration, which keeps the consistency in the complex product development process. Consequently, an optimal design could be possibly achieved by optimization coupling with production operation, manufacturability and cost analysis. A case study of steam assisted gravity drainage (SAGD) outflow control device (OCD) is presented at last to show the prospective benefit of the method.