جستجوی استاد راهنمای دانشگاهی

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.

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

Sang-il Oum is a Distinguished Research Fellow leading the Discrete Mathematics Group at the Institute for Basic Science (IBS) in Daejeon, South Korea since 2018. Previously, he held professorial positions at KAIST from 2008–2024, progressing from Assistant to Full Professor and serving as KAIST Endowed Chair Professor from 2023. His academic journey includes a Ph.D. in Applied and Computational Mathematics from Princeton University (2005), advised by Paul Seymour, and earlier degrees from KAIST (B.S. 1998) and Princeton (M.A. 2003). His research focuses on Graph Theory, Matroid Theory, and Combinatorics, with notable contributions to structural graph theory, parameterized complexity, and width parameters. He organizes the Discrete Math Seminar and participates in editorial roles for journals like SIAM Journal on Computing and Graphs and Combinatorics . Awards include the Choi Seok-Jeong Award (2022), Young Scientist Award (2012), and TJ Park Fellowship (2009). He has advised students such as Duksang Lee, and maintains active collaborations with researchers worldwide. His work bridges theoretical foundations with algorithmic applications, influencing both discrete mathematics and computer science.

• Graph Theory
• Matroid Theory
• Combinatorics
• +۴ مورد دیگر

Professor Shin Ji-seon is affiliated with Sejong University's Department of Information Security, conducting research in smartphone security, IoT authentication protocols, smart car security, and keystroke dynamics-based authentication. She earned her Ph.D. in Computer Science from the University of Maryland at College Park (2009) after completing her bachelor's degree in Computer Engineering at Seoul National University (2001). Her recent work includes federated intrusion detection frameworks (2025), SR-Tree optimization for nearest neighbor search (2025), and machine learning-based intrusion detection systems (2024). She explores blockchain applications in drone rental mechanisms (2023) and privacy-preserving ID registration systems (2021). Professor Shin leads the Information Security Lab, focusing on secure authentication UI development and IoT security challenges. Her patents include GPS location integrity verification methods (2024), smart city positioning systems (2022), and multi-factor authentication systems (2022).

• Smartphone Security
• IoT Authentication Protocols
• Smart Car Security
• +۴ مورد دیگر

Dr. Park Ki-ho is an Associate Professor at the Department of Computer Engineering, Sejong University. His research focuses on computer architecture, embedded systems, IoT systems, and low-power design methodologies. Academic Background: PhD in Computer Science from Yonsei University Professional Experience: Senior Engineer at Samsung Electronics, Post-Doctoral Research Associate at University of Utah Research Interests: Develops innovative solutions for sensor hub design , memory systems , and machine learning hardware acceleration . Key areas include: Non-Volatile Memory (NVM) management 3D Integrated Circuit memory bandwidth optimization Intelligent Edge Device architectures Hybrid Cache Architectures Model Compression Techniques On-Device AI Processing Recent Publications demonstrate expertise in in-memory acceleration , sparse matrix representation , and large language model inference . His work bridges theoretical advancements with practical implementations for IoT and AI applications.

• Computer Architecture
• Embedded System Design
• IoT System Design
• +۴ مورد دیگر

Dr. Jaehong Kim has been appointed as an Assistant Professor in the Department of Artificial Intelligence Engineering at the College of Software Convergence, Inha University, effective September 1, 2025. He is currently transitioning from a postdoctoral position at Carnegie Mellon University's Department of Computer Science. His educational background includes: Ph.D. from KAIST (August 2024) Dr. Kim's research focuses on Artificial Intelligence applications in video streaming, immersive media, and network systems. His work includes neural network-based video quality enhancement, 3D live streaming, 5G network optimization, and 3D Gaussian Splatting compression. He has made significant contributions to AI-driven media delivery systems, with particular emphasis on real-time transmission protocols and neural rendering techniques for immersive experiences. His notable scientific awards include: Gold Prize (1st place in Communications and Networks) at 2022 Samsung HumanTech Paper Awards KAIST Breakthrough of the Year in 2021 Dr. Kim's research has been supported by the National Research Foundation of Korea's Overseas Outstanding Young Researcher Program during his postdoctoral fellowship at CMU. His work has been presented at premier conferences including SIGCOMM, CoNEXT (Best Paper Finalist), OSDI, and EuroSys, establishing him as a rising expert in AI-enhanced networked media systems.

• Artificial Intelligence
• Computer Networking
• Video Streaming
• +۳ مورد دیگر

Professor Park Woo-chan is affiliated with the Department of Computer Engineering at Sejong University. His research focuses on real-time ray tracing, GPU architecture for mobile devices, and FPGA implementations. He has a strong publication record in 3D graphics and AI semiconductors. 1989-1993: Bachelor's in Computer Science, Yonsei University 1993-1995: Master's in Computer Science, Yonsei University 1995-2000: Doctorate in Computer Science, Yonsei University He leads the Processor Lab, which specializes in media processors including high-performance mobile GPUs and AI semiconductors. The lab has extensive experience with industry projects for Samsung and LG, national initiatives, and industry-academia collaborations. Research interests span real-time ray tracing algorithms, GPU memory systems, lossless data compression, computer arithmetic, and hardware acceleration for 3D graphics and sound rendering. Recent publications show a strong focus on real-time sound propagation, multi-threaded algorithms, depth level control, and FPGA implementations for ray tracing. Keywords from his work include: Computer Science , Neural Networks , GPU Architecture , 3D Rendering , Mobile Graphics , and FPGA Acceleration . Contact: pwchan@sejong.ac.kr

• Real-time Ray Tracing
• GPU Architecture for Mobile Devices
• FPGA Implementation
• +۴ 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

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.

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