Hsieh, Sheng-Jen

Professor Hsieh, Sheng-Jen holds a faculty position at Texas A&M University in the Department of Engineering Technology & Industrial Distribution, with affiliated roles in Electrical & Computer Engineering. He specializes in automation, robotics, infrared imaging, and smart system design. His research bridges engineering education and advanced manufacturing technologies, emphasizing Industry 4.0 applications and cyber-physical systems.

Education includes a Ph.D. in Industrial Engineering from Texas Tech University (1995), M.S. from St. Mary's University (1989), and B.S. from National Taipei Institute of Technology (1982). He has received numerous accolades including the NSF CAREER Award, Halliburton Foundation Professorship, and multiple teaching awards.

His research interests span additive manufacturing optimization, thermal stress prevention in 3D printing, and remote-access lab development for education. Key achievements include developing AI-driven systems for anomaly detection in motors and smart traffic light control algorithms. He actively contributes to educational outreach through low-cost automation kits and PLC training modules.

Scientific contributions include over 100 publications, with recent work focusing on machine learning applications in manufacturing processes and educational technology innovations. He has advised multiple undergraduate research projects in mechatronics and robotic systems.

Labs and collaborations involve experimental setups for thermal imaging analysis, automated material handling systems, and IoT-enabled HVAC control strategies. His work integrates cognitive task analysis to improve engineering education practices.