Focus on new faculty: Kaibo Liu, making data translate in the real world
As the technology of communication networks advances to the point that massive amounts of data are readily available, there exists the need to maintain, collect and distribute that data. To address these problems in the world of manufacturing and service systems, Assistant Professor of Industrial and Systems Engineering Kaibo Liu focuses on system informatics and control (SIAC).
Liu’s SIAC research aims to extract raw data effectively and then to analyze and model that data to aid in quality control and to improve performance. By bridging the gap between engineering, advanced statistics and operations research, this approach results in more closely monitored system status, more accurate forecasting of future trends and behaviors, and even better decision-making by aligning decisions with expected conditions. Liu plans to apply his SIAC research to manufacturing, healthcare, energy and service systems.
Liu joined the UW-Madison faculty in fall 2013 after earning his PhD in industrial engineering from the Georgia Institute of Technology. Drawn to UW-Madison because of the diversity of backgrounds within the department, Liu believes his background in SIAC will make him a valuable collaborator with other industrial engineers. Specifically, he feels that his expertise in data mining and statistical methodologies could strengthen manufacturing research groups, and his data-driven approach could improve practical quality engineering research. He says that, given all the companies in Wisconsin, UW-Madison will present him with the opportunity to work on real problems and to validate his results in a real-world setting.
He also looks forward to the opportunity to shape future scientists and engineers. “I will commit myself to the classroom and am prepared to devote my time and efforts to students outside of class,” he says. “I hope that my encouragement and inspiration will help their career development.”