Introduction
Dr. Cheol-Hong Min is an Associate Professor of Electrical and Computer Engineering at the University of St. Thomas, where he also serves as Program Director of the M.S. in Electrical and Computer Engineering. His work sits at the intersection of signal processing, machine learning, robotics and embedded sensing systems — translating raw sensor data into actionable intelligence for health, industry, and autonomy.
At the University of St. Thomas, Dr. Min has built a research program defined by two commitments: solving problems that matter to real people and industries, and doing that work alongside students. The overwhelming majority of his publications are co-authored with undergraduate and master's students, many of whom present their work at IEEE conferences before they graduate.
His current research applies AI, machine learning, and deep learning to large-scale data analysis across biomedical and wearable systems, industrial automation, autonomous navigation and intelligent robotics, precision agriculture, and NSF-funded fluid dynamics analysis. Recent work extends into semiconductor manufacturing automation, secure generative AI for engineering design, network security, and 6G communications.
Dr. Min is an active contributor to workforce development in microelectronics, including the Minnesota SCALE (Scalable Asymmetric Lifecycle Engagement) consortium, Minnesota Semiconductor AI Hub consortium and works to build research and educational partnerships between St. Thomas and regional industry.
Courses Taught at St. Thomas
Dr. Min teaches undergraduate (ENGR) and graduate (ETLS) level courses:
Undergraduate (ENGR)
- ENGR 240: Circuit Analysis
- ENGR 340: Signals and Systems
- ENGR 345: Electronics I
- ENGR 346: Electronics II
- ENGR 410: Control Systems and Automation
- ENGR 480/481: Engineering Design Clinic I & II
Graduate (ETLS)
- ETLS 631: Wireless Sensor Networks
- ETLS 675: Digital Signal Processing
- ETLS 678: Application of AI in Engineering
- ETLS 681: AI, Robotics and Autonomous Systems