Professor Kim Eun-hee is a faculty member in the Department of Defense Systems Engineering at Sejong University, specializing in advanced radar technologies and signal processing. Her work bridges theoretical research and practical applications in defense systems. Ph.D. in Mechanical Engineering (2004), KAIST M.Sc. in Engineering (1996), KAIST B.Sc. in Precision Engineering (1994), KAIST Her research focuses on radar system design, including airborne active phased array radar, automotive radar, broadband noise radar, and over-the-horizon radar. She explores waveform optimization, MIMO architectures, and signal processing algorithms to enhance radar performance in complex environments. Publications highlight her expertise in MIMO radar configurations, Doppler-insensitive waveforms, and machine learning integration for signal analysis. She leads industry-academic collaborations with organizations like Hanwha Systems and LIG Nex1. She contributes to technical committees, including the Sensor and Signal Processing Division of the Korean Society of Military Science and Technology. Her laboratory (Defense Radar Technology Laboratory) focuses on radar design, signal processing, and sensor integration.
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.
Professor Jang Yoon is a faculty member in the Department of Computer Engineering at Sejong University, South Korea. He currently holds the position of Daeyang Distinguished Professor and leads the Data Visualization Lab. His academic journey includes postdoctoral research at the Swiss National Supercomputing Center (2007-2009), ETH Zurich (2009-2011), and Purdue University (2011-2012). His educational background includes a Bachelor's degree from Seoul National University in Electrical Engineering (2000), and Master's and Doctoral degrees from Purdue University in Electrical and Computer Engineering (2002 and 2007). His academic progression at Sejong University shows his appointment as Assistant Professor (2012-2016), Associate Professor (2016-2022), and Professor (2022-present). Professor Jang's research spans multiple domains within data science and visualization, with primary focus on data visualization, visual analytics, and their applications in various domains. His work bridges theoretical computer science with practical applications in traffic analysis, healthcare, and smart city infrastructure. He has developed innovative techniques for spatiotemporal data visualization, volume rendering, and causal analysis in complex datasets. His recent publications (2023-2025) demonstrate a strong focus on integrating deep learning with visualization techniques, particularly in traffic analysis, volume rendering, and large language model interpretability. His work shows a clear trajectory toward combining causal inference with visual analytics, applying these methods to urban traffic systems, structural health monitoring, and public relations analysis. Professor Jang has served in numerous leadership roles in major visualization conferences including IEEE VIS, IEEE PacificVis (as General Chair in 2023), EuroVis, and HCI Korea conferences. His service contributions include program committee memberships and chair positions across multiple prestigious conferences in the visualization field. His laboratory work focuses on practical applications of visualization techniques with numerous patents registered in Korea. His research has resulted in multiple practical systems for traffic analysis, VR sickness detection, data quality improvement, and eye-tracking applications. The lab maintains strong industry connections through applied research projects addressing real-world problems.
Professor Kwon Oh-jin is affiliated with Sejong University , where he serves in the Department of Electronic Engineering . His academic career spans over three decades, including a PhD in Electrical and Computer Engineering from University of Maryland (1994) and MS in Signal/Image Processing from University of Southern California (1991). His research focuses on image/video analysis , compression algorithms , watermarking systems , and steganography . Recent work explores machine learning-driven compression , 360-degree imaging , and JPEG standards implementation . His 15 most recent articles address topics like cybersecurity using CNNs , dynamic gesture recognition , and novel multimedia platforms for emerging standards. Professor Kwon leads the Visual Communication Research Lab (Chung923), supervising numerous PhD and MS students working on point cloud coding , JPEG privacy , and AI-based image coding . He has received multiple government and industry grants from organizations including the Agency for Defense Development and Ministry of National Defense .
KAIST - Korea Advanced Institute of Science & TechnologySouth Korea
Jae Kyoung Kim is an Associate Professor in the Department of Mathematical Sciences at KAIST (Korea Advanced Institute of Science and Technology) and serves as Chief Investigator in the Biomedical Mathematics Group at the Institute for Basic Science (IBS). He is also a Member of the Young Korean Academy of Science and Technology and the KOFST Future Generation Committee. His academic journey began with a B.S. from Seoul National University, followed by a Ph.D. from the University of Michigan, Ann Arbor, under advisors Daniel Forger and Victoria Booth. He completed postdoctoral training at the Mathematical Biosciences Institute at Ohio State University. Kim's research spans mathematical and biological domains, focusing on dynamical systems, biological oscillators (particularly circadian rhythms), systems pharmacology, cancer chronotherapy, stochastic processes, Bayesian inference, and single-cell sequencing data analysis. His work bridges abstract mathematical concepts with practical biomedical applications, developing mathematical frameworks to solve complex biological problems related to sleep patterns, drug development, and cancer treatment timing. His publications demonstrate a strong trend toward integrating machine learning with traditional mathematical modeling, particularly in sleep medicine and circadian biology. Recent work emphasizes wearable technology applications, personalized chronotherapy, and the development of clinical tools with mathematical foundations. The research shows increasing interdisciplinary collaboration across mathematics, biology, medicine, and data science. Choi Seok-jeong Award (Minister of Science and ICT Award) KAIST Global Research Cooperation Awards Citation from the Minister Ministry of Science and ICT Innovation Award from MEDITEK J. Shelton Horsley Research Award Yonam International Collaborative Research Professorship KSIAM Young Researcher Award Kim actively advises numerous graduate students and postdoctoral fellows, with several former students securing prestigious academic positions. His research has been supported by significant grants including Samsung Science & Technology Foundation, LG Yonam Foundation, and Pfizer Inc. He organizes major international conferences and serves on editorial boards for leading journals including SIAM Review, PLOS Computational Biology, and Current Opinion in Systems Biology. His book '수학이 생명의 언어라면' (If Mathematics is the Language of Life) has gained recognition as a significant contribution to mathematical biology education.
Professor Shin Dong-gyu is a faculty member in the Department of Computer Engineering at Sejong University, where he leads research in cybersecurity, cyber warfare, and machine learning applications. He is affiliated with both the Cyber Warfare Research Institute and the Smart Convergence Technology Research Institute, directing the Multimedia & Internet Lab which has produced over 100 graduates since its founding in 1998. His students have gone on to work at government research institutes, corporate research centers, and mid-sized technology companies. Professor Shin's research focuses on cybersecurity with particular emphasis on cyber resilience, intrusion detection systems, malware analysis, cyber range development, and the application of machine learning to security challenges. His work bridges theoretical security frameworks with practical defense mechanisms, often incorporating military and national security applications. The research spans both defensive cybersecurity measures and offensive cyber operations analysis. His recent publications (2023-2025) demonstrate a consistent research trajectory in cyber resilience metrics, data sanitization against poisoning attacks, DNS security, layered defense approaches for critical infrastructure, and the integration of Zero Trust architecture with threat modeling frameworks like MITRE ATT&CK. His work shows increasing sophistication in applying deep learning techniques to security problems while maintaining focus on practical, implementable security solutions. Professor Shin actively mentors graduate students through doctoral dissertation research, master's thesis research, and specialized courses including Algorithms and Practice, Computer Vision and Deep Learning for Drones, and Special Topics in Smart Computing Technology. His teaching schedule indicates regular engagement with both master's and doctoral students.
Professor Kwon Young-soo is a faculty member in the Department of Life Sciences and Department of Bio-Convergence Engineering at Sejong University, where he leads the Genomics Lab. His research integrates next-generation sequencing and bioinformatics to study gene expression regulatory networks in human embryonic stem cells and differentiated cell types, focusing on molecular mechanisms of human development and disease. His academic background includes: Bachelor's degree in Genetic Engineering from Korea University Master's degree in Biochemistry from KAIST Ph.D. in Biochemistry from KAIST Postdoctoral Fellowship in Genomics at University of California, San Diego Professor Kwon's research spans genomics , RNA biology , and stem cell systems , with emphasis on microRNA function, splicing regulation, and ribonucleoprotein condensates. His Genomics Lab employs cutting-edge DNA analysis technologies to investigate molecular pathways in embryonic stem cell differentiation, contributing to understanding developmental disorders and cancer mechanisms through computational and experimental approaches. Analysis of his 12 publications (2011-2024) reveals a consistent trajectory in RNA processing mechanisms, featuring prominent work on U2AF1/ZRSR2 splicing elements, L1TD1-mediated condensate dissolution, and microRNA-target networks in stem cells. His research bridges genomic technology development with biological discovery, primarily published in high-impact journals like Nucleic Acids Research and FASEB Journal. Scientific awards were not documented in the source materials. Details regarding specific research grants and student advising activities were not provided in available sources, though his active publication record and lab leadership indicate ongoing mentorship and funding. The Genomics Lab maintains specialized facilities for next-generation sequencing and bioinformatics analysis, with resource links to critical databases including miRBase, Nature, and Cell. Current work shows expanding focus on neurodegenerative disease mechanisms through recent patent applications involving L1TD1 protein therapeutics.
Professor Lee Jun-ho is affiliated with the Department of Information and Communication Engineering at Sejong University . His research focuses on Radar Signal Processing , Array Signal Processing , and Radio Signal Processing , with emphasis on analytical performance analysis of radar systems and electronic warfare modeling. Email: joonhlee@sejong.ac.kr Research Trends: Recent work includes performance analysis of the MUSIC algorithm under correlated noise, monopulse algorithm optimizations, and compressive sensing for direction-of-arrival (DOA) estimation. Key subfields involve array manifold errors , antenna stability , and statistical error modeling .
Hyun Oh Song is an Associate Professor in the Department of Computer Science and Engineering at Seoul National University , focusing on machine learning, combinatorial optimization, and algorithms. Previously, he was a Research Scientist at Google Research and a Postdoctoral Fellow at Stanford University . Education : Ph.D. in Computer Science (2014) from UC Berkeley , B.S. from Hanyang University Research Interests : Solving combinatorial problems in AI, with applications in neural network compression, adversarial robustness, and reinforcement learning. Teaching : Courses include Deep Learning, Machine Learning, and Probability & Computing at SNU. His startup DeepMetrics raised $2.2M in combined VC and government funding. Scientific Awards : Samsung Lee Kun Hee Scholarship Foundation (5-year Ph.D. fellowship) Publications : 15 recent works span efficient CNN compression (ICML2022), adversarial attack mitigation (ICML2022), neural relation graphs for label noise detection (NeurIPS2023), and Co-Mixup data augmentation (ICLR2021).
Han Byeong-woo is a full-time Professor in the Department of Pharmacy at the College of Pharmacy, Seoul National University (SNU), where he has been since March 2020. Previously, he served as an Associate Professor (2013–2020) and Assistant Professor (2009–2013) at the same institution. His research focuses on structural biology, particularly the structure-function relationships of biomedically relevant proteins, CAR-T/NK cell therapy targets, and the N-degron pathway in protein degradation. Education Ph.D. in Biochemistry, University of Wisconsin-Madison (2001–2006) M.S. in Biochemistry, Seoul National University (1999–2001) B.S. in Chemistry Education, Seoul National University (1992–1999) Research Interests : Professor Han’s lab explores structural mechanisms in biomedical contexts, including: Regulation of toxin-antitoxin systems in pathogenic bacteria (2024) Substrate recognition in the N-degron pathway (2024) Apoptotic regulation by novel Bcl-2 family members (2022) Glycosylation mechanisms of bacterial adhesins (2021) PPARγ modulation by kinase inhibitors (2020) Publications Trends : His structural biology work spans protein degradation pathways (N-degron), cancer signaling (PPARγ mutations), immune therapy targets (CAR-T/NK), and infectious disease mechanisms (Legionella, Staphylococcus). Techniques include X-ray crystallography, cryo-EM, and functional assays. Students & Roles : He has mentored 10 Ph.D. and 12 Master’s students. Current administrative roles include Executive Director of SNU’s Ho-Am Faculty House (2022–2024) and Vice Dean of Student Affairs (2021–2022). Contact: bwhan@snu.ac.kr | Office: 02-880-7898 | Lab: Rm 212, Bldg 20, College of Pharmacy, SNU, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea.
Professor Kim Jong-hyuk is affiliated with the Department of Defense Systems Engineering at Sejong University, where he conducts advanced research in robotics and defense systems. His work spans multiple disciplines including artificial intelligence, sensor-based tracking, and signal processing. Robot control Defense systems engineering Underwater localization Transformer-based path planning His recent publications (2024-2025) focus on underwater target tracking with heterogeneous sonar sensors, fault-tolerant control for marine vehicles, and adaptive path planning algorithms for aerial and underwater robots. These works demonstrate expertise in handling environmental disturbances, optimizing sensor networks, and developing robust control systems. Current research trends show increasing focus on 3D localization techniques using hybrid TOA-AOA measurements, deep learning applications for underwater object classification, and distributed robotics systems that maintain functionality under DoS attacks. His work also addresses practical challenges like voltage-based braking controls for electric vehicles and power-efficient underwater robot coordination.
Professor Hong Woo-young is a distinguished faculty member in the Department of Defense Systems Engineering at Sejong University's College of Engineering. He also holds a position in the Department of Marine Systems Convergence Engineering and serves as Professor Emeritus at the Naval Academy. Currently (as of 2025), he holds the position of Special Vice President at Sejong University and directs the Defense Weapons Systems Research Institute. His academic career spans from his early days as a Professor at the Naval Academy (1985-2013), where he retired as a Navy captain, to his current roles at Sejong University. Professor Hong's research focuses on underwater acoustic signal processing, sonar systems, and target detection and identification. His work integrates advanced signal processing techniques with machine learning approaches to solve complex problems in naval defense systems. He has made significant contributions to compressive sensing applications in underwater acoustics, active and passive sonar target classification, and underwater weapon system effectiveness analysis. His laboratory, the Underwater Acoustic Signal Processing Lab, serves as a hub for innovative research in naval defense technologies. His publication record shows a strong trend toward integrating deep learning and neural network approaches with traditional signal processing methods for underwater target detection and classification. Recent work emphasizes data augmentation techniques, attention mechanisms, and feature fusion methods to improve sonar system performance, particularly with limited training data. His research bridges theoretical signal processing with practical naval defense applications. 2019 Academic Year Outstanding Lecture Professor Award Academic Award (Chief of Naval Operations) Science and Technology Outstanding Paper Award Acoustical Society of Korea Academic Award Order of Civil Merit, Samiljang Presidential Citation Minister of National Defense Award Professor Hong has held numerous leadership positions including President of the Acoustical Society of Korea (2020), Dean of Academic Affairs at Sejong University (2021-2022), and Dean of the College of Engineering (2018-2021). He has served on advisory committees for the Defense Acquisition Program Administration and the Agency for Defense Development, contributing his expertise to naval ship projects and defense research and development. His laboratory conducts research on underwater target detection, tracking, and analysis of underwater weapon system effectiveness, with applications to naval operational tactics.
Marc Diederich serves as a Professor at Seoul National University's College of Pharmacy, leading the Molecular Oncology Laboratory in Building 21 (Room 316). His research focuses on biochemical mechanisms of cancer development, with direct contact available via office phone (+82-2-880-8919) and lab phone (+82-2-880-2490). Education: Ph.D., University of Nancy, France His research program investigates oncogenic signaling pathways, programmed cell death mechanisms, and inflammatory processes in cancer biology. This molecular oncobiology work explores therapeutic targets for novel anti-cancer drug development through biochemical and cellular approaches, emphasizing translational applications in tumor biology. The Molecular Oncology Laboratory operates within SNU's College of Pharmacy infrastructure, collaborating with affiliated institutes including the Research Institute of Pharmaceutical Sciences and Natural Products Research Institute.
Professor Hyung Seok Kim is a distinguished academic at Sejong University, currently serving as Professor in the Department of AI and Robotics. He also holds significant administrative positions including Dean of the College of Software Convergence at Sejong University. Professor Kim leads the MINES LAB (Mobile Intelligent Embedded Systems Lab), located in Room 211, Chungmu Hall at Sejong University, where he directs research in cutting-edge AI and embedded systems technologies. Professor Kim's educational background includes: Bachelor of Engineering: Department of Electrical Engineering, Seoul National University Master of Engineering: Department of Electrical and Computer Engineering, Seoul National University Doctor of Engineering (Ph.D.): Department of Electrical and Computer Engineering, Seoul National University Professor Kim's research spans multiple domains at the intersection of artificial intelligence and embedded systems. His work focuses on AI robots, wearable AI devices, Large Language Models (LLMs), and on-device AI technologies . His research group develops innovative solutions for emotion recognition, medical imaging analysis, and IoT applications. The MINES LAB specifically targets the integration of AI with embedded systems to create efficient, low-latency solutions for real-world problems ranging from healthcare monitoring to industrial applications. Analysis of Professor Kim's recent publications reveals a strong focus on medical AI applications, federated learning for IoT networks, and multimodal emotion recognition . His work demonstrates consistent innovation in applying deep learning techniques to medical imaging (particularly ophthalmology and cardiology), developing efficient edge-AI solutions for wearable devices, and creating novel network optimization approaches for industrial IoT. The publications show a clear trajectory toward more integrated, privacy-preserving AI systems that can operate effectively on resource-constrained devices. While specific awards to Professor Kim aren't detailed in the provided information, his research group has achieved notable recognition: Dr. Song Seung-hwan, a Ph.D. candidate at the lab, received the Presidential Industrial Service Medal Professor Kim has mentored an extensive number of students throughout his career, with alumni pursuing diverse career paths at leading organizations worldwide. His former students have secured positions at major technology companies including Samsung Electronics, LG Electronics, Kakao, and Amazon, as well as academic positions at universities globally. The MINES LAB currently supports multiple graduate students, post-doctoral researchers, and research assistants working on various AI and embedded systems projects. Professor Kim's research appears to be well-funded, with connections to industry partners including Hyundai Motor Company and Samsung Electronics, though specific grant details aren't provided in the text. The MINES LAB serves as the central hub for Professor Kim's research activities, focusing on AI robots, wearable AI devices, and LLM applications. The lab maintains active collaborations with industry partners and has produced numerous commercial applications through its alumni network. Current research directions include developing low-latency emotion recognition systems, medical imaging analysis tools, and efficient network protocols for IoT applications. The lab environment appears highly collaborative, with both full-time and part-time researchers contributing to various projects across the AI and embedded systems spectrum.
Professor Song Oh-young is affiliated with Sejong University as a faculty member in the Ocean Humanity College , Department of Software . He leads the Sejong University Graphics Lab , which focuses on physics-based animation for movies/games and natural phenomena simulation. PhD in Computer Science from Seoul National University (2004) Postdoctoral Fellow at Seoul National University (2004-2006) Current research spans Computer Graphics , Medical AI , IoT Security , and Deep Learning Applications in healthcare and agriculture. His recent publications (2023-2024) emphasize AR/VR for emergency training , medical imaging , and IoT optimization . The Graphics Lab actively collaborates with industry on special effects and simulation techniques. He has contributed to 3D graphics , chaotic encryption , and real-time fluid dynamics over two decades.
