Dr. Yoon is a research electronics engineer in the quality and safety assessment research unit at the U.S. National Poultry Research Center, USDA Agricultural Research Service (ARS), Athens, GA, USA. He received his PhD in electrical engineering from the University of Illinois at Urbana-Champaign. He has over 30 years of R&D experience in developing machine vision and image processing algorithms and over 17 years of experience in hyperspectral imaging. Prior to USDA-ARS, he contributed to the development of computer vision techniques for the auto, defense, and industrial manufacturing industries at HRL Labs, SAIC, and DVT. At USDA-ARS, he has led the development of objective and rapid imaging technologies and systems to solve food safety and quality problems faced in the poultry and egg industry, such as fecal detection, pathogen detection, egg crack detection, and woody breast detection. As an expert in high-speed hyperspectral imaging and real-time machine vision in food and agriculture, he has also led the development of real-time high-speed imaging systems capable of operating at commercial poultry processing line speeds. His current research interests are in applying advanced hyperspectral machine vision, sensor fusion, big data, machine learning, and artificial intelligence technologies to solve food safety and quality problems.