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Minsoo Kang, Yeonghoon Jeong, Eunsoo Choi, Donghun Han (ÁöÀºÀÌ)
Minsoo Kang (ÁöÀºÀÌ)
School of Advanced Studies, Eulji University
Professor Minsoo Kang, affiliated with the Big Data and Artificial Intelligence major in the College of Advanced Technology at Eulji University, has experience planning and managing national technology policy as a Program Director for RFID/USN at the Ministry of Knowledge Economy. He has also served as Head of the Integrated Computing Center at a medical center and as President of the Korean Artificial Intelligence Society, leading academic and practical advancement in the AI field. He is currently conducting clinical research in collaboration with Eulji University Hospital and has also carried out convergence research applying artificial intelligence to OLED technology. His publications include No Code AI: Concepts and Applications in Machine Learning, Visualization, and Cloud Platforms, Understanding AI and DATA Visualization without Code or Mathematics, Machine Learning: Concepts, Tools and Data Visualization, Getting Started with Machine Learning using Microsoft Azure Machine Learning as well as RFID Basics, Digital Circuit Design Using VHDL, and Nationally Certified RFID GL Technical Qualification Examination.
Yeonghoon Jeong (ÁöÀºÀÌ)
Vice President, Enterprise AI Business Unit, LGUplus
Dr. Yeonghoon Jeong leads the Enterprise AI business at LG Uplus, overseeing key initiatives including AICC, Vertical Agentic AI services, the AX Platform, and Sovereign Cloud. Prior to his current role, he gained extensive leadership experience in technology consulting and enterprise sales through positions in the Consulting & Implementation Unit and the Financial Industry Sales Unit. With deep academic expertise as a Ph.D. in Artificial Intelligence Engineering, he is at the forefront of driving LG Uplus¡¯s Enterprise AX (AI Transformation) strategy and next-generation AI innovation.
Eunsoo Choi (ÁöÀºÀÌ)
Assistant Manager, Quality Innovation Dept, Foundation Verification Team, PNPSECURE Inc.
Having built practical competency in digital twin-based AI at Allforland, he is currently continuing security AI research on Zero Trust at PNPSECURE. His publications in the AI field include Machine Learning: Concepts, Tools and Data Visualization and Getting Started with Machine Learning using Microsoft Azure Machine Learning.
Donghun Han (ÁöÀºÀÌ)
Senior Researcher, Medical Intelligence Information Center
Having built practical competency as an instructor leading AI specialist education at the HelloWorldLabs dedicated education team, he is currently working as a Senior Researcher at the Medical Intelligence Information Center (MIIC). He focuses on developing AI solutions that can be immediately used in clinical settings including cardiovascular disease prediction, sleep apnea diagnosis, and automatic classification of skin ulcers and pressure sores and works to narrow the gap between research and clinical practice. His published work in the AI field includes No-code Concepts and Applications in Machine Learning, Visualization, and Cloud Platforms.