AI-enhanced Semantic Communications and Emerging ICT Systems
AI-driven Smart Grid Technologies
Introduction
Intelligent Information Systems Lab.'s research integrates statistical signal processing and machine learning to enhance IoT security, develop smart grid technologies, and innovate communication systems, leveraging physical layer features and advanced bigdata analytics.
Research Field
• IoT Security and AI: Developing secure IoT authentication and physical layer security using statistical signal processing and AI.
• AI-enhanced Semantic Communications and Emerging ICT Systems: Innovating in semantic communications and emerging ICT systems using advanced signal processing and AI techniques.
• AI-driven Smart Grid Technologies: Creating intelligent solutions for grid flexibility, including NILM, V2G systems, and AI-driven demand response.
Education
2007-2011 Carnegie Mellon University (Ph.D., Electrical & Computer Engineering)
2006-2007 Carnegie Mellon University (M.S., Electrical & Computer Engineering)
1998-2000 Seoul National University (M.S., Mechanical Design & Production Engineering)
1994-1998 Seoul National University (B.S., Nuclear Engineering)
Professional Career
2015-Present, Professor, School of Electrical Engineering and Computer Science (AI Graduate School), GIST, South Korea
2011-2014 Research Engineer, Data Conroller Division, LSI Corporation (now Broadcom), San Jose, United States
2000-2006 Research Engineer, Digital Media Research Center, Daewoo Electronics, South Korea