جست‌وجوی استاد و پژوهشگر

Kim Jae-hoمشاهده پروفایل

دانشیار

• Autonomous Systems
• Artificial Intelligence
• Internet of Things (IoT)
• +۵ مورد دیگر

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.

• Program Analysis
• Program Synthesis and Transformation
• Machine Learning for Programming Systems
• +۴ مورد دیگر

Kihong Heo is an Associate Professor at the School of Computing and Graduate School of Information Security, KAIST, Republic of Korea. He leads the Programming Systems Laboratory and has held academic positions since 2017, including Assistant Professor (2017-2020) and Associate Professor (2020-2024). His research focuses on developing program reasoning systems for safe and reliable software, with key contributions in AI-based program analysis, program simplification, and scalable synthesis systems. His educational background includes a Ph.D. and B.S. in Computer Science & Engineering from Seoul National University (2009 and 2005 respectively). He has served as a post-doctoral researcher at the University of Pennsylvania (2009-2017) before transitioning to KAIST. Research interests span AI-driven program analysis for deep semantic bug detection, program debloating systems for security optimization, and synthesis frameworks using probabilistic models. His work bridges undecidability in static analysis with external information integration. Recent publications analyze logic-based verification for mobile agents, compiler fuzzing , and data dependency guided fuzzing . Trends show a focus on security-critical systems, reinforcement learning for code reduction, and probabilistic models. Scientific awards include the ACM SIGSOFT Distinguished Paper Award (FSE 2025) , Amazon Research Award (2024) , and multiple KAIST teaching honors . He has also received ACM SIGPLAN Distinguished Paper (PLDI 2019) and Best Artifact Awards. He has mentored numerous Ph.D. and Master’s students and contributes to program committees for leading conferences like SOAP (PC Co-Chair) , ICSE , and SAS . His work is supported by grants and collaborations with institutions including Facebook and Seoul National University.

• Data Visualization
• Visual Analytics
• Big Data Analysis
• +۱۲ مورد دیگر

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.

Hyoungshick Kimمشاهده پروفایل

استاد

• usable security
• blockchain
• security vulnerability analysis
• +۳ 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.

Hong Woo-youngمشاهده پروفایل

استاد

• Underwater Acoustic Signal Processing
• Sonar Systems
• Target Detection and Identification
• +۶ مورد دیگر

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.

Jang-Ho Kimمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +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.

Kim Jong-hyunمشاهده پروفایل

استاد

• Network Security
• Cybersecurity
• Mobile Communications Security
• +۵ مورد دیگر

Professor Kim Jong-hyun serves in the Department of Information Security at Sejong University, directing the Network Security Lab which develops core security technologies for cyberattack response, cloud security, and mobile communications security in evolving digital environments. The lab actively participates in international standardization efforts. His research spans critical cybersecurity domains: Network and 5G Security Drone (UAV) Security Systems AI-Driven Malware Detection Cloud Infrastructure Protection Mobile Communications Vulnerability Analysis Base Station Authentication Mechanisms 2024 publications reveal concentrated research on wireless security challenges, particularly fake base station threats in 5G networks, container security in cloud-native environments, and deep learning applications for UAV location integrity. His work bridges theoretical models with practical implementations for next-generation network security. No scientific awards are documented in the provided materials. Professor Kim actively supervises graduate research through Master's thesis and Doctoral Dissertation courses in the Graduate School of Information Security, while teaching specialized courses including Mobile Communications Security and Advanced C Programming. His advising focuses on emerging security threats in telecommunications infrastructure. The Network Security Lab (Se212C) functions as an operational hub for hands-on security research, with interview procedures requiring direct email contact for prospective students.

Jeong-Woo Choiمشاهده پروفایل

استاد

• Artificial Intelligence
• Audio Signal Processing
• Machine Learning
• +۳ مورد دیگر

Professor Jeong-Woo Choi is a faculty member in the Department of Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST), specializing in cutting-edge audio artificial intelligence research. His work bridges electrical engineering and machine learning with applications in industrial monitoring and immersive media technologies. His primary research focuses on Audio Signal Processing and Sound Source Separation , developing next-generation AI systems capable of isolating and classifying complex soundscapes. Key areas include spatial semantic segmentation of acoustic scenes, multichannel signal analysis, and transformer-based neural architectures for abnormal sound detection in drones, factory pipes, and border surveillance systems. His team pioneers techniques mimicking human auditory processing through waveform analysis and directional cues. Professor Choi's team secured first place in the 2025 IEEE DCASE Challenge against 86 global competitors, achieving unprecedented 11 dB performance in sound separation metrics. This breakthrough enables advanced applications in AR/VR spatial audio editing and industrial anomaly detection. His scientific recognition includes: First place in 'Spatial Semantic Segmentation of Sound Scenes' at IEEE DCASE Challenge 2025 He actively mentors graduate researchers including PhD candidate Kwon Young-hoo and Master's student Kim Do-hwan. His lab operates under significant funding from South Korea's National Research Foundation (Mid-career Researcher Support Project), Ministry of Education (STEAM Research Project), and Defense Acquisition Program Administration (Future Defense Research Center). The research team maintains KAIST's leadership in audio AI through their specialized laboratory within the Electrical Engineering department, recently developing the world's highest-performance sound separation model combining Transformer and Mamba architectures.

Sung-Eui Yoonمشاهده پروفایل

استاد

• Scalable Graphics
• Computer Vision
• Robotics
• +۶ مورد دیگر

Sung-Eui Yoon is a Professor at the Department of Computer Science, Korea Advanced Institute of Science and Technology (KAIST), where he leads the Scalable Graphics, Vision, & Robotics Lab (SGVR Lab). He also holds affiliations with KAIST AI, KAIST Robotics Program, and CS Robotics. His academic career spans over 15 years at KAIST, where he has established himself as a leading researcher in graphics, vision, and robotics. Dr. Yoon received his Ph.D. from the Department of Computer Science at the University of North Carolina at Chapel Hill under the advisory of Dr. Dinesh Manocha, completed a postdoc at Lawrence Livermore National Lab, and earned his B.S. and M.S. from the Department of Computer Science at Seoul National University. His academic lineage traces back to Carl Friedrich Gauss through a distinguished line of mathematicians and computer scientists. His research spans scalable graphics, vision, robotics, and AI problems, with a particular focus on real-time rendering, collision detection, motion planning, and image retrieval. Dr. Yoon's work bridges theoretical foundations with practical applications, resulting in numerous publications, tutorials, and workshops at major conferences including SIGGRAPH, ICRA, and CVPR. His publications demonstrate a consistent focus on scalability and efficiency in graphics and robotics systems, with recent work emphasizing deep learning applications in image search and advanced motion planning algorithms for robotics. His research has evolved from foundational work in massive model rendering to cutting-edge applications in robotics and AI. Among his notable recognitions are the Outstanding Paper Award at ICRA 2023, Outstanding Navigation Award Finalist at ICRA 2022, Next-Generation Scientist Award (IT category) in 2019, and Technical Innovation Award from KAIST in 2018. Dr. Yoon has advised 4 Ph.D. students at KAIST between 2007-2014 and has secured numerous research grants supporting his lab's work. He has also authored influential books including "Rendering" (2018) and "Real-Time Massive Model Rendering" (2008). His teaching portfolio includes graduate courses on Web-Scale Image Retrieval, Motion Planning, and Graduate-level Computer Graphics, as well as undergraduate courses in Computer Graphics and Data Structures.