جستجوی استاد راهنمای دانشگاهی

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)
• +۵ مورد دیگر

June-Yub Lee is a Professor of Mathematics and Vice President at Ewha Womans University, leading the Office of University Planning and Coordination. He is also a member of the Institute of Mathematical Sciences. His academic background includes a Physics major and Mathematics minor from KAIST, followed by a Ph.D. in Mathematics from New York University's Courant Institute. Prof. Lee specializes in numerical analysis, inverse problems, computational fluid dynamics, and phase-field modeling. His research focuses on developing robust numerical methods for partial differential equations, with applications in materials science and fluid dynamics. Notable contributions include work on operator splitting methods, energy-stable schemes for phase-field models, and inverse problem solutions in electrical impedance tomography. He has organized major international conferences like ICM2014 and ICIP series, and serves on editorial boards of journals such as the Journal of the Korean Society for Industrial and Applied Mathematics (KSIAM). His work bridges theoretical mathematics with computational science, emphasizing interdisciplinary applications. Prof. Lee has actively contributed to academic administration, including serving as Director of the Division of Natural Sciences at the National Research Foundation (NRF). His research lab focuses on scientific computation, with recent projects exploring long-time simulations of phase-field crystal models and high-order numerical methods for multiphase systems.

• Numerical Analysis
• Inverse Problems
• Computational Fluid Dynamics
• +۳ مورد دیگر

Professor Song Young-min is joining the Department of Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST) as a Professor, with his appointment beginning July 1, 2025. His research focuses on developing innovative bio-inspired optical systems for robotics, with particular expertise in biomimetic cameras and neuromorphic vision systems. Professor Song's research interests span flexible optoelectronic devices and nanophotonics, with specific applications in biomimetic cameras for intelligent robots , optoneuromorphic devices and systems , nanophotonics-based reflective displays , and infrared-controlled radiative cooling devices . His work bridges electrical engineering, materials science, and biological inspiration to create energy-efficient vision systems that reduce computational demands. His recent publications demonstrate significant advancements in bio-inspired vision technology, particularly in feline-inspired vertical pupil systems that improve object tracking stability and cuttlefish-inspired W-shaped pupil designs for uneven lighting conditions. These innovations show how hardware improvements can substantially reduce energy consumption in robotic vision systems. Professor Song has established significant research collaborations with institutions including MIT (working with Frédo Durand on the Artificial Compound Eyes with Artificial Intelligence project), EPFL, and Northwestern University. His work has been published in high-impact journals including Nature, Science Robotics, and Science Advances. His laboratory focuses on developing next-generation vision systems that integrate biological inspiration with cutting-edge optical engineering, with applications ranging from surveillance robots to autonomous vehicles. Current projects include improving wide-angle imaging capabilities and developing more efficient optic flow processing systems for drone navigation.

• Flexible optoelectronic devices
• Nanophotonics
• Biomimetic cameras
• +۵ مورد دیگر

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 .

• Image/video compression
• Image quality enhancement
• Image fusion
• +۶ مورد دیگر

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.

• Cybersecurity
• Cyber Warfare
• Machine Learning
• +۷ مورد دیگر

Dr. Lee Sang-min has been appointed as an Assistant Professor in the Department of Computer Science at Korea University, effective September 2025. Prior to this appointment, he completed his Ph.D. in Electrical Engineering from KAIST in 2023 and conducted postdoctoral research at the University of Illinois at Urbana-Champaign and Georgia Institute of Technology. Education: Ph.D. in Electrical Engineering, KAIST (2023) Dr. Lee's research focuses on multimodal learning and its application to social interactions, particularly in the emerging field of Social AI. His work leverages multimodal technologies to understand and predict human social behavior, with a strong emphasis on computer vision as evidenced by publications in top-tier conferences such as CVPR. His research demonstrates global technological competitiveness in integrating vision systems with social interaction modeling.

• Multimodal Learning
• Social AI
• Computer Vision
• +۱ مورد دیگر

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).

• Machine Learning
• Combinatorial Optimization
• Algorithms
• +۷ مورد دیگر

Hyoungshick Kim is a Professor in the Department of Computer Science and Engineering at the College of Computing, Sungkyunkwan University (SKKU), where he leads the Security Laboratory (seclab). He has been selected as an SKKU Fellow in recognition of his research contributions and academic engagement. Dr. Kim received his Ph.D. in the Security Group at the Computer Laboratory, University of Cambridge, under the supervision of Prof. Ross Anderson. His doctoral research focused on complex network analysis for secure and robust communications. Prior to his Ph.D., he worked at Samsung Electronics on secure home networking and content protection research. After completing his doctorate, he served as a post-doctoral fellow at the Laboratory for Education and Research in Secure Systems Engineering (LERSSE) in the Electrical and Computer Engineering department at the University of British Columbia (UBC). He also worked as a distinguished visiting researcher at CSIRO Data61. Dr. Kim's research interests center around usable security, blockchain technology, security vulnerability analysis, and data-driven security approaches. His work bridges theoretical security principles with practical applications, with a particular emphasis on understanding human factors in security systems and developing solutions that are both robust and user-friendly. His research spans areas including phishing detection, authentication systems, web security, mobile security, and AI security, consistently focusing on real-world applicability. Through his extensive publication record spanning multiple years, Dr. Kim has established himself as a leading researcher in cybersecurity. His recent work shows a growing focus on the security implications of artificial intelligence and machine learning systems, examining both how AI can improve security and how AI systems themselves can be vulnerable to attacks. His research demonstrates a consistent pattern of addressing pressing security challenges with innovative, practical solutions. SKKU Fellowship in recognition of research contributions and academic engagement As the leader of the Security Laboratory at SKKU, Dr. Kim oversees research projects that address critical security challenges. His work has been supported by various research grants focusing on practical security solutions for real-world problems. Dr. Kim maintains active collaborations with researchers worldwide and with industry partners to ensure his research addresses current security challenges and translates into practical applications. The Security Laboratory (seclab) under Dr. Kim's leadership focuses on developing practical security solutions with emphasis on usability. The lab's research spans multiple domains including web security, mobile security, blockchain security, and AI security, with a consistent thread of considering human factors in security design. The laboratory produces both theoretical contributions and practical tools that have impact in the security community and beyond.

• usable security
• blockchain
• security vulnerability analysis
• +۳ مورد دیگر

Professor Jang-Ho Kim is affiliated with the Department of Artificial Intelligence at Kookmin University's College of Science and Technology, specializing in advanced artificial intelligence research. His work focuses on optimizing vision transformer models for efficiency and performance. Key research areas: Artificial Intelligence, Computer Vision, Neural Networks, Model Optimization, Hardware-friendly AI In 2025, his team presented the SERo framework at the 41st UAI Conference in Rio de Janeiro, introducing a novel structure-based compression method for vision transformers that significantly reduces computational costs while maintaining accuracy. This research involved collaboration with Hyundai Motor Company's Robotics Lab and was supported by the AI Star Fellowship Program. Scientific awards: AI Star Fellowship Program (Ministry of Science and ICT) His work has been applied to diverse vision tasks including DAMO-YOLO for object detection and Faceptor for face recognition systems.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۳ مورد دیگر

Min-Shik Kim is a Professor in the Department of Psychology at Yonsei University, South Korea, where he has served since 1998 after rising through the ranks from Assistant to Associate to full Professor. He leads research at the Yonsei Cognition Lab, focusing on experimental and computational approaches to human cognition. His academic credentials include a Ph.D. in Cognitive Sciences from Vanderbilt University (1996), an M.A. in Psychology from Yonsei University (1988), and a B.A. in Psychology from Yonsei University (1986). Professor Kim's research centers on attentional control mechanisms in visual processing, computational modeling of vision guided by neuroscience findings, and representations of visual information for real-world tasks. His work spans visual neglect, illusions, imagery, and memory systems including visual working memory and implicit learning, with applications extending to educational strategies and advertising effectiveness. He maintains active membership in key professional societies: The Korean Society for Cognitive Science The Korean Society for Experimental and Cognitive Psychology Korean Society for Emotion & Sensibility The Korean Psychological Association Association for Psychological Society Psychonomic Society His career trajectory shows continuous academic progression at Yonsei University since 1998, preceded by postdoctoral training at UC Davis and research fellowships at Vanderbilt University, with early teaching experience at both Yonsei University and the Korea Military Academy.

• Visual Attention
• Computational Cognitive Modeling
• Visual Neuroscience
• +۵ مورد دیگر

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
• +۴ مورد دیگر

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.

• AI robots
• Wearable AI devices
• Large Language Models
• +۷ مورد دیگر

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.

• Physics-Based Animation
• Character Animation
• Computer Graphics
• +۷ مورد دیگر

Professor Park, Chang-Jin is a faculty member in the Department of Life Systems Science and Department of Bioindustry and Resource Engineering at Sejong University, South Korea. He leads the Plant-Microbe Molecular Interaction Laboratory (Chung 409A), focusing on understanding plant immune responses and developing strategies for disease resistance in crops. His educational background includes a Ph.D. in Molecular Biology from Korea University, where he also completed his MS and BS degrees. Prior to his current position as Professor (2023-present), he served as Associate Professor (2012-2017) and Assistant Professor (2009-2012) at Sejong University. He gained additional research experience as a Project Scientist and Research Associate at the University of California, Davis (2003-2009). Professor Park's research interests center on plant-microbe interactions, with particular emphasis on plant innate immunity mechanisms , molecular interactions between pathogens and plants , and immune receptor-mediated signal transduction . His laboratory employs advanced techniques including CRISPR/Cas9 genome editing , transgenic analysis , protein overexpression and purification , and yeast two-hybrid systems to investigate these processes. His recent publication record demonstrates a strong focus on rice immunity mechanisms, with numerous papers published in high-impact journals. His work spans from fundamental research on immune receptor signaling to practical applications in disease management, including studies on fungal pathogens, viral diseases in cucurbits, and eco-friendly disease control methods using essential oils and peroxyacetic acid. Professor Park has held significant professional roles including: Chairman of the International Cooperation Committee of the Korean Society of Plant Pathology (2023-present) Editorial Committee Member of the Korean Society of Plant Pathology (2020-present) Pest Risk Assessment Advisory Committee, Animal and Plant Quarantine Agency (2019-present) Research in Plant Disease Associate Editor (2015-present) As an advisor, Professor Park has mentored numerous students through their academic careers, including current Ph.D. candidate Jeong, A-ram, Master's students Kwon, Oh-Kyu and Kim, Ji-Heon, and several alumni now working in research institutions and industry. His laboratory maintains active collaborations with national and international research organizations. The Plant-Microbe Molecular Interaction Laboratory operates with a dual focus on basic research to understand plant immunity mechanisms and applied research to develop practical solutions for crop disease management. Current projects include studying model plant rice for immune receptor signal transduction, using Arabidopsis for compound resistance strategies, and establishing fungal and viral pathogen identification systems for agricultural applications.

• Plant-Microbe Interactions
• Plant Immune Mechanisms
• Molecular Pathogenesis
• +۷ مورد دیگر

Professor Park Han-yong is affiliated with Sejong University's Department of Bioresource Engineering . His research focuses on plant breeding, molecular genetics, and agricultural biotechnology, particularly in radish (Raphanus sativus) and related crops. Ph.D. in Molecular Genetics from Seoul National University (1995) Chief Researcher at seed companies including Heungnong Seed, Seminis, and Monsanto (1996–2010) Faculty member at Sejong University since 2011 Research interests include: Genetic diversity analysis in radish and carrot Development of molecular markers for trait selection Genotype-phenotype association studies Micropropagation techniques Phytochemical composition and antioxidant activity Fusarium wilt resistance mechanisms Article Trends show expertise in QTL mapping , genotyping-by-sequencing (GBS) , metabolic profiling , and automated phenotyping . His work spans traditional breeding and cutting-edge genomic approaches. Patents include cultivar-specific markers and disease detection methods (2011–2025).

• Plant Breeding
• Molecular Genetics
• Agricultural Biotechnology
• +۳ مورد دیگر