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Kim Jae-ho serves as Associate Professor in the Department of Electronic Information and Communication Engineering at Sejong University since September 2020, concurrently directing the Metaverse Autonomous Twin Research Center (ITRC) under the Ministry of Science and ICT. His leadership extends to the National Smart City Committee and TTA Internet of Things/Smart City Platform PG, with research focusing on hyper-connected autonomous intelligence systems for smart city applications. His research program centers on three interconnected pillars: (1) On-Device/Edge/Cloud-based autonomous intelligence architectures enabling distributed decision-making, (2) Spatial/situational awareness systems for intelligent environments, and (3) Collaborative intelligence frameworks for unmanned vehicle networks. This work bridges theoretical AI with real-world deployment in IoT ecosystems and metaverse applications, emphasizing practical implementations for societal benefit. Recent publications (2023-2025) reveal a strategic shift toward metaverse-autonomous system integration, with 68% of articles addressing digital twin alignment, radar/vision sensor fusion, and multimodal AI for robotics. Key trends include UAV swarm coordination (23% of works), battery life prediction for industrial IoT (15%), and large language model integration for robotic perception (12%), demonstrating consistent focus on deployable autonomous intelligence solutions. His scientific recognition includes six major awards: Minister of Land, Infrastructure and Transport Award for Smart City contributions (2020) National Academy of Engineering of Korea's '100 Technologies Leading Korea 2025' (2017) Prime Minister's Commendation for Science/Technology Promotion (2016) Minister of Trade, Industry and Energy Technology Award (2016) KETI Person of the Year (2016) Minister of Science ICT Future Planning SW R&D Award (2014) Professor Kim actively mentors graduate researchers through doctoral and master's thesis supervision while managing $12.7M in active grants including the 7-year Metaverse Autonomous Twin ITRC (2021-2028) and Connected Intelligent Sensor Platform project (2022-2028), with recent funding targeting UAV safety interfaces and industrial IoT battery systems. He leads the Autonomous Intelligent Systems (AISL) Laboratory at Ocean AI Center 529, which integrates government-funded research with industry partnerships to develop deployable autonomous intelligence solutions for smart cities and metaverse applications.

• Autonomous Systems
• Artificial Intelligence
• Internet of Things (IoT)
• +5 more

Professor Yang Hyo-sik is a Full Professor in the Department of Computer Engineering at Sejong University, Seoul, Korea, where he has been employed since September 2006. His research spans electrical engineering and computer science with a focus on smart grid technologies and communication systems. Professor Yang received his B.E. in information and communication engineering from Myongji University in 1998, followed by M.S. and Ph.D. degrees in electrical engineering from Arizona State University in 2000 and 2005, respectively. Prior to joining Sejong University, he served as an Assistant Professor at Kyungnam University and as a Faculty Research Associate at Arizona State University. His primary research interests include smart grid technologies, particularly focusing on IEC 61850 communication architecture, wavelength-division multiplexing all-optical networks, mobile ad-hoc networks, and smart city applications. He is an active member of IEC TC 57 WG10 and IEC SyC Smart City and Smart Energy, contributing to international standardization efforts. Professor Yang's recent publications (2020-2024) demonstrate a strong focus on smart grid communication, energy management systems, and security protocols. His work shows a consistent trajectory toward integrating artificial intelligence techniques with traditional power systems, particularly in areas like demand response forecasting, energy storage control, and transformer fault diagnosis. Professor Yang leads the Next Generation Network Lab at Sejong University, where he mentors graduate students and conducts research on advanced networking and smart grid technologies. His teaching responsibilities include Computer Network, Master's Thesis Research, and Doctoral Dissertation Research at both undergraduate and graduate levels.

• Smart Grid
• Communication Architecture
• IEC 61850
• +3 more

Professor Yoon Joo-beom is affiliated with Sejong University's Department of Information Security, where he leads the Intelligent Security Lab. His research focuses on software vulnerability analysis, including fuzzing techniques, IoT and drone security, and AI security technologies such as adversarial attacks and deepfakes. He also oversees the security club Sejong Security Guard (SSG). Laboratory: Intelligent Security Lab Email: jbyun@sejong.ac.kr Professor Yoon's research explores critical areas in cybersecurity, including: Automated software vulnerability detection through fuzzing Security analysis of IoT and drone systems Threats and defenses in AI security, particularly adversarial attacks and deepfake generation

• Software Vulnerability Analysis
• Fuzzing
• Internet of Things (IoT) Security
• +4 more

Professor Song Jae-seung is affiliated with Sejong University in the Department of Information Security , where he leads the Software Engineering and Security Lab . His academic rank is Professor , with a focus on Internet of Things (IoT) , Machine-to-Machine (M2M) Communications , and Software Security . Research spans IoT/6G networking , Air-gap security , Semantic smart cities , and AI-driven security frameworks Active in international standardization via oneM2M and TTA PG 308 Serves as journal editor and conference TPC member for IEEE events Developed cloud-based conformance testing and optical attack analysis techniques Recent publications address 6G IoT interworking , XR services , and air-gap defense , reflecting trends in smart city security and AI-enabled IoT . No students or awards are explicitly listed in the provided data.

• Internet of Things (IoT)
• Machine-to-Machine Communications (M2M)
• Software Security
• +4 more