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Dr. Dazhong Wu received his B.S. from Hunan University, M.S. from Shanghai Jiao Tong University in China, and Ph.D. from Georgia Institute of Technology, all in Mechanical Engineering. He is currently working with Dr. Janis Terpenny in the National Science Foundation Center for e-Design and the Smart Design and Manufacturing Systems Lab in the Department of Industrial and Manufacturing Engineering at Penn State University as a postdoctoral research associate. His research focuses on process monitoring, diagnosis, and prognosis using machine learning and cloud computing, as well as collaborative design using social network analysis. He coined the phrase, Cloud-Based Design and Manufacturing (CBDM), and developed a system architecture and computational framework for CBDM.
Dr. Wu has published papers in the Journal of Manufacturing Science and Engineering, Journal of Intelligent Manufacturing, Computer-Aided Design, Journal of Manufacturing Systems, and Journal of Computing and Information Science in Engineering. Dr. Wu is serving as co-chair of the High-Performance Computing and Data Analytics in Manufacturing symposium scheduled for the 2016 ASME Manufacturing Science and Engineering Conference (MSEC). He has served as a reviewer for several peer-reviewed scholarly journals.
The project, titled “Cloud-Enabled Machines with Data-Driven Intelligence,” is set to begin Feb. 1st, 2017 and will be funded by the Digital Manufacturing and Design Innovation Institute (DMDII) for 18 months. Dr. Dazhong Wu is a Co-PI on the project. More details can be found via Penn State News.
The project, titled “Lower Life Cycle Costs, Improve Design and Performance Robustness through the Digital Thread.” is set to begin March 1st, 2017 and will be funded by the Digital Manufacturing and Design Innovation Institute (DMDII) for 18 months. Dr. Dazhong Wu is a Co-PI on the project. More details can be found via Penn State News.