Introduction

Dr. Min has a background in Electrical and Computer Engineering with an emphasis in signal/image processing and application of Machine Learning (ML) to signal, image, video analysis, and wearable technology. He has 11 US patents and many more registered patents in the EU, Japan and South Korea. His previous research includes signal, image, video processing, sensor system design and algorithm development specializing in context-aware sensing for wearable systems design. His research has been funded by the Defense Advanced Research Project Agency (DARPA) and the Institute for Engineering in Medicine (IEM) at the University of Minnesota.

Before joining the University of St. Thomas, Dr. Min was a senior R&D engineer at LG Electronics in Seoul, Korea and a project manager at a startup company, Sakonnet Technology, in New York, NY. Dr. Min has ample experience working at a global company developing products targeting everyday users and at a startup developing products and services targeting niche markets.

His current research focuses on the application of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning to large-scale data analysis for National Science Foundation (NSF) funded fluid dynamics analysis, biomedical, wearable systems, industrial automation, autonomous navigation, intelligent robotics and precision agriculture.

Such research projects include the application of AI to:

  • understand turbulent flow analysis relevant to energy and propulsion
  • individual health monitoring and tracking
  • seizure detection by analyzing EEG signals
  • identify brain activities for driver monitoring
  • develop wearable systems to prevent and identify COVID transmissions
  • develop self-driving vehicles/robots
  • develop industry robots equipped with vision-based intelligence
  • precision agriculture to enhance crop yield and promote sustainability

Courses Taught at St. Thomas

Dr. Min teaches undergraduate (ENGR) and graduate (ETLS) level courses:

  • 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
  • ETLS 631: Wireless Sensor Network
  • ETLS 675: Digital Signal Processing
  • ETLS 678: Wearables, Systems, Data and IoT

Link

Academic Areas and Departments

Electrical & Computer Engineering

School of Engineering

Education

Electrical and Computer Engineering
PhD, University of Minnesota
Electrical and Computer Engineering
MS, Purdue University
Electronics Engineering
BE, Kyungpook National University