Project on Big Data in Manufacturing Funded by National Center for Supercomputing Applications (NCSA)

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, […]

Project in Wheel-Track Wear Supported by CRRC

China Railway Rolling Stock Corporation (CRRC) has funded for our project “Wheel-Track Wear Indicators, Calculation and Testing Methods for Heavy-Haul Freight Cars.” This one-year project ($132k) will tackle fundamental and technical challenges in evaluating and predicting wheel-track wear for heavy-haul freight cars.