معرفی
Jia (Peter) Liu is an Associate Professor and Ginn Faculty Achievement Fellow in the Department of Industrial and Systems Engineering at Auburn University's Samuel Ginn College of Engineering. His research focuses on statistical modeling, machine learning, and optimization for advanced manufacturing systems, with an emphasis on additive manufacturing (AM) process optimization, defect detection, and smart manufacturing technologies. He leads interdisciplinary initiatives in Industry 4.0 adoption and has received significant grants from NSF, DOD, and FAA.
Education: Ph.D. Industrial and Systems Engineering (Virginia Tech), dual M.S. in Statistics (Virginia Tech) and Electrical Engineering (Zhejiang University), B.S. Electrical Engineering (Zhejiang University).
Research interests include physics-informed manufacturing, privacy-preserving data sharing, and AI-driven quality assurance. Notable contributions include predictive frameworks for AM fatigue life, solder joint reliability, and nanorobotics. He has pioneered digital twin ecosystems and sensor-based process monitoring systems for AM.
Key awards include a $500k NSF CAREER Award for AM fatigue prediction and leadership roles in multi-million-dollar grants for smart manufacturing. His work has been featured in Auburn's initiatives to bridge high school AI education and defense electronics innovation.
Grants and collaborations include leading a $500k NSF project on distributed additive manufacturing, co-directing a $7.2M DOD effort on Industry 4.0 adoption, and managing a $3M FAA grant for aerospace AM components. He advises doctoral students in reliability engineering and manufacturing systems.
Liu co-founded the Interdisciplinary Center for Advanced Manufacturing Systems (ICAMS) and directs the National Center for Additive Manufacturing Excellence (NCAME). His labs focus on additive manufacturing qualification, digital twin development, and materials innovation.
