Architecting A Knowledge-Based Platform for Design Engineering 4.0

Zhenjun Ming is an Assistant Professor of the School of Mechanical Engineering at Beijing Institute of Technology (BIT). He received his PhD in Mechanical Engineering and his Bachelor's degree in Industrial Engineering, both from BIT. Zhenjun Ming's research interests include knowledge- -based systems, decision making in engineering design, collective intelligence and self-organizing systems. He devotes himself to merging Information Technology (IT) and Operation Technology (OT) to deliver useful, effective, and efficient tools and approaches for supporting human decisions in the design of cyber-physical-social systems. He is a winner of the "2015 NSF/ASME Student Design Essay Award". He has spent 20 months working with Professors Farrokh Mistree and Janet K. Allen as a visiting scholar at the University of Oklahoma (Norman), on a China Scholarship Council (CSC) sponsored project - Knowledge-Based Platform for Decision Support in the Design of Engineering Systems. He has published one monograph, ten journal papers and eight conference papers.
Anand Balu Nellippallil is an Assistant Professor in the Department of Mechanical and Civil Engineering at Florida Institute of Technology (FIT). Anand directs the Systems Realization Laboratory at FIT. He received his Ph.D. in Mechanical Engineering from the University of Oklahoma (OU) in 2018. Anand received his M. Tech degree in Materials Science and Engineering from the Indian Institute of Technology, Bhubaneswar, India in 2014, and his B.Tech degree in Production Engineering from the Government Engineering College Thrissur, University of Calicut, India in 2012. Before joining Florida Tech, he worked as a Research Engineer II at the Center for Advanced Vehicular Systems (CAVS) in Mississippi State University. His current research interests are focused on the realization of evolving human-cyber-physical-manufacturing-social systems. Anand has received several scholarships and awards, namely, the 2018 Provost's Dissertation Prize for outstanding dissertation in science and engineering at OU, the Gallogly College of Engineering Dissertation Excellence Award, the Frank Chuck Mechanical Engineering Scholarships (2016 and 2017), Paper of Distinction at the ASME Design Automation Conference, a silver medal from the Indian Institute of Technology (IIT), Bhubaneswar for best academic performance and a university first rank medal from the University of Calicut. Anand has co-authored one other research monograph anchored in his PhD dissertation titled: Architecting Robust Co-Design of Materials, Products, and Manufacturing Processes. Anand is a member of ASME.
Ru Wang is an Assistant Professor of the School of Mechanical Engineering at Beijing Institute of Technology (BIT). He received his Ph.D. in Mechanical Engineering in June 2018 from BIT and got his B.E. and M.E. degree in Traffic Engineering and Vehicle Operation Engineering in 2011 and 2014 from Shandong University of Technology. Since December 2016 to November 2017, Ru joined the Systems Realization Laboratory at the University of Oklahoma (Norman) as a Visiting Scholar for one year and conducted a Joint PhD Program supported by BIT. He is an ASME member and the winner of the "2017 NSF/ASME Student Design Essay Award". His research interests include the management of complexity and uncertainty in decision-based design, intelligent design and knowledge engineering. He has co-authored sixteen journal papers, and five conference papers.
Janet K. Allen holds the John and Mary Moore Chair of Engineering at the University of Oklahoma, Norman. She received her SB from the Massachusetts Institute of Technology and her PhD form the University of California, Berkeley. Her research focus is on managing the uncertainty which is inherent in simulation-based design. Her group was among the first to recognize that there are four types of uncertainty inherent in simulation-based design and

Frame of Reference.- Foundations for Design Decision Support in Model Based Realization of Complex Engineered Systems.- Ontology for Decision Support Problems Templates.- Ontology for Designing Decision Workflows.- PDSIDES: A Knowledge-Based Platform for Decision Support in the Design of Engineering Systems.- Design of a Hot Rod Rolling System Using PDSIDES.- Conclduing Remarks.