He directs the Automation and Digital Manufacturing (ADM) Laboratory, the research of which is focused on smart manufacturing, big data analytics, and manufacturing system control and automation. The research of the ADM Lab aims to improve product quality, reduce production cost, and enhance manufacturing efficiency by developing and applying methodologies in a wide range of fields, including quality engineering, advanced statistics, machine learning, and high-performance computing. Application areas include battery manufacturing, solar energy, heat exchanger manufacturing, and advanced manufacturing processes, such as ultrasonic metal welding, high-precision machining, and friction stir riveting.