The Office of the Vice President for Research and Innovation recognizes Ran Jin, an assistant professor in the department of industrial and systems engineering, for his work to improve manufacturing processes and systems through mathematical modeling.
Jin’s research focus is on manufacturing systems engineering, which involves three areas: integration of data mining with engineering for enhanced statistical modeling, analysis, and control of complex industrial systems; quality engineering in manufacturing scale-up; and sensing, modeling, and process optimization based on high-definition profile data.
His work can be applied to various manufacturing processes, such as energy and biomedical systems.
In 2016, Jin received a three-year grant from the National Science Foundation for a project entitled “Data-driven Modeling and Optimization for Energy-Smart Manufacturing.” Jin and his fellow investigators from Virginia Tech and Ohio State University are looking at the synergistic modeling and decision-making methodology for energy efficiency optimization, manufacturing equipment prognosis, and product performance improvements in smart manufacturing.
Jin is also the current director of the Data Science and Visualization Lab at Virginia Tech.
He received his bachelor’s degree from Tsinghua University in Beijing, two master’s degrees from the University of Michigan, and his Ph.D. from Georgia Institute of Technology.