NI Jun

Jun Ni is a distinguished professor and researcher in the field of manufacturing engineering, with a focus on precision manufacturing, error compensation, and intelligent systems. He is known for his pioneering work in the development of error compensation techniques for coordinate measuring machines (CMMs), as well as his contributions to the fields of adaptive control, thermal error compensation, and predictive maintenance. His research has had a significant impact on improving the accuracy and efficiency of manufacturing processes.

Jun Ni Shien-Ming Wu is a Collegiate Professor of Manufacturing Science and Professor of Mechanical Engineering, specializing in Manufacturing, Intelligent Maintenance Systems, and Machine Tools. His research focuses on developing intelligent prognostics tools for product performance degradation assessment, predictive manufacturing, and real-time error compensation in CNC machines. He has contributed to the analysis of micro-scale milling, friction stir welding, and thermal error compensation in machine tools. His work also explores data-driven bottleneck detection in manufacturing systems and the effects of energy input on spatter formation in additive manufacturing processes. His research integrates infotronics and neural networks to enhance machine tool accuracy and reliability.