Robert Gao, chair of the Department of Mechanical and Aerospace Engineering, was named one of the 20 most influential professors in smart manufacturing by SME, a nonprofit association that promotes and supports the manufacturing industry.
The publication explained that Gao “developed a systematic approach to the design, modeling, characterization and experimental evaluation of structure-embedded, multi-physics wireless sensors and related machine learning (ML) methods for the condition monitoring, fault diagnosis and remaining service life prognosis of manufacturing machines and product quality control—with applications in plastic injection molding, sheet-metal stamping and electrically assisted micro-rolling.”