The funded project “Big Data Enabled Multi-Level Decision-Making for Smart Manufacturing” aims to establish theoretical foundations and a new paradigm for multi-level decision-making by leveraging big data and high-performance computing (HPC). We will design big data based solutions for manufacturers, including NCSA’s industrial partners, and equip them with toolkits for smart sensing, monitoring, control, diagnosis, prognostics, etc. We will work in collaboration with MechSE Research Associate Professor and Technical Assistant Director at NCSA, Seid Koric, and outstanding researchers at NCSA Industry, Dr. Dora Cai, Dr. Qiyue Lu, and Mr. Yifang Zhang. Dr. Shao will be working as a Scholar-in-Residence at NCSA for the one-year project. The project budget is $25,000 for one year.
For details, please refer to the MechSE news.
