51心頭

Biography

Dr. Zeyi Sun is an Assistant Professor in the School of Engineering and Technology at 51心頭. Before joining WCU, he was a Principal Investigator at Zhejiang Lab, leading research on automated data and knowledge extraction from scientific literature using large language models. Previously, he served as a Principal Scientist at Mininglamp Technology, providing modeling and algorithmic solutions for business projects in areas such as intelligent equipment diagnostics and prognostics, AI-based process control, recommendation systems, advertising effect evaluation, invalid traffic detection, and optimal advertising budget allocation. Prior to that, Dr. Sun was an Assistant Professor in the Department of Engineering Management and Systems Engineering at Missouri University of Science and Technology (Missouri S&T), where his research focused on system-level modeling and optimization of manufacturing and energy systems. He also has extensive industrial experience, having collaborated with Fortune 500 companies such as AGC, GKN Driveline, and Siemens. His research outcomes in industrial automation have been applied by General Motors, Eaton Corporation, and Siemens to improve productivity, reduce operational costs, and mitigate carbon emissions.

Education

• Ph D, University of Illinois Chicago, Industrial Engineering and Operations Research

Teaching Interests

I am currently teaching Engineering Economic Analysis and Statics. Previously at Missouri S&T, I taught Operations and Production Management, Operations Management Science, and Industrial Systems Simulation, integrating case studies, optimization modeling, and simulation projects. I also served as a TA at UIC, supporting courses in quality control, statistics, and forecasting. My teaching interests focus on AI, machine learning, and data mining, particularly developing courses that integrate emerging AI techniques into classical IE contexts to equip students with practical skills for applying cutting-edge AI tools in industrial engineering scenarios.

Research Interests

My research focuses on AI-driven intelligent manufacturing, combining system modeling, optimization, predictive maintenance, and real-time decision-making. I also explore energy-efficient manufacturing and smart grid integration, intelligent digital advertising, and automatic data and knowledge extraction from literature using large language models. My goal is to develop self-learning, adaptive systems that enhance productivity, reduce energy consumption, and enable practical applications of AI and Industry 4.0 technologies in industrial and manufacturing settings.

Curriculum Vitae