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Professor Kang Yu-won serves as a faculty member in the Department of Physical Education at Sejong University, teaching courses including 'Studies in the Philosophy of Physical Education' and 'Leisure Sports 2' while leading Laboratory Dragon 117. His academic career is entirely rooted at Sejong University, where he earned all degrees in Physical Education with a philosophical specialization. His educational background includes: Ph.D. in Philosophy of Physical Education from Sejong University M.S. in Physical Education from Sejong University B.S. in Physical Education from Sejong University Professor Kang's research centers on the philosophical foundations of physical education through lenses of phenomenology, sport aesthetics, and axiology. He employs qualitative methodologies to investigate cultural dimensions of sports, addressing contemporary issues like youth alienation in physical education, neoliberal influences on sports sexuality, and technology's impact on traditional practices. His work consistently examines the existential meaning of physical activity within modern societal contexts. Analysis of his 50+ publications reveals sustained engagement with philosophical frameworks applied to emerging sports phenomena, including AI integration in martial arts, hip-hop's role in school physical education, and pandemic-related athlete experiences. His scholarship demonstrates methodological consistency through qualitative approaches while adapting to contemporary challenges in sports culture and education. He directs Laboratory Dragon 117, which functions as a dedicated space for philosophical inquiry into physical education. The laboratory facilitates critical discussions on the purpose and evolution of physical activity within Korean society, serving as both research hub and intellectual community for exploring sports' existential dimensions.

• Phenomenology
• Culture of Somatic
• Sport Aesthetics
• +2 more

Professor Kwon Kyung-ha is a faculty member in the Department of Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST), where he leads cutting-edge research in wearable medical technology and energy-efficient sensor systems. His research focuses on developing innovative solutions for continuous health monitoring through wearable devices. Professor Kwon specializes in energy harvesting technologies that utilize ambient light to power medical sensors, enabling 24/7 health monitoring without bulky batteries. His work integrates photometric methods, photovoltaic systems, and photoluminescent technologies to create adaptive power management solutions for medical wearables. Professor Kwon's recent publication in Nature Communications demonstrates significant advancements in reducing power consumption by 86.22% through ambient light utilization. His research spans multiple subfields including photoplethysmography for cardiovascular monitoring, blue-light dosimetry for skin protection, and microfluidic sweat analysis for detecting dehydration and electrolyte imbalances. His scientific achievements have been recognized through multiple prestigious research grants and awards: National Research Foundation of Korea's Excellent Young Researcher Project Regional Innovation Leading Research Center Project Ministry of Science and ICT's IITP Artificial Intelligence Semiconductor Graduate School Project BK FOUR Program (Connected AI Education & Research Program for Industry and Society Innovation) Professor Kwon actively mentors graduate students including Sim Young-min (integrated master's and doctoral program) and Park Do-yoon (doctoral program), and collaborates internationally with researchers such as Dr. Park Chan-ho at Northwestern University. His research team has developed an adaptive wireless wearable platform that integrates three complementary light energy technologies to enable continuous health monitoring. His laboratory focuses on developing practical applications of energy harvesting technology for medical devices, with emphasis on real-world implementation through flexible printed circuit boards that can be attached directly to skin. The team's work aims to shift the medical paradigm from treatment-centered to prevention-centered healthcare through continuous monitoring capabilities.

• Wearable Medical Devices
• Energy Harvesting
• Optical Sensors
• +3 more

Professor Choi Shin-hyun is a faculty member in the Department of Electrical and Electronic Engineering at Korea Advanced Institute of Science and Technology (KAIST), where he leads research in neuromorphic semiconductors and artificial sensory systems. His work focuses on developing next-generation semiconductor technologies that mimic biological neural functions. His primary research interests include Neuromorphic Semiconductors , Artificial Sensory Nervous Systems , and Neuro-inspired Robotics . Professor Choi's team develops technologies that enable robots to perceive and respond to environmental stimuli with human-like efficiency while minimizing energy consumption. His recent publication in Nature Communications demonstrates significant advancements in memristor technology that can simulate biological neural responses such as habituation and sensitization, opening new possibilities for medical and specialized robotics applications. Professor Choi's research has been supported by multiple national projects including the National Research Foundation of Korea's Next-Generation Intelligent Semiconductor Technology Development Project, Mid-career Researcher Project, and PIM Artificial Intelligence Semiconductor Core Technology Development Project. He currently advises graduate students including Park Si-on, a combined master's and doctoral candidate who served as first author on the recent Nature Communications paper.

• Neuromorphic Semiconductors
• Artificial Sensory Nervous Systems
• Robotics
• +4 more

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.

• Artificial Intelligence
• Audio Signal Processing
• Machine Learning
• +3 more

Professor Kim Jeong-ho is a distinguished faculty member in the Department of Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST), recognized globally as a pioneer in artificial intelligence semiconductor technology. He is the key architect behind High Bandwidth Memory (HBM), a core technology that enabled Korea's world-first commercialization of AI semiconductors, driving growth for industry leaders like Samsung Electronics and SK Hynix. His research focuses on semiconductor engineering with specialization in AI hardware and memory architecture. Professor Kim has established the "Next-Generation HBM Roadmap (HBM4-HBM8)" guiding technological development through 2038, while actively leading international standardization efforts to secure Korea's technological leadership in this critical field. His work bridges theoretical innovation with industrial implementation in semiconductor memory systems. Professor Kim's exceptional contributions have been recognized with: 7th Hanyang Baeknam Award in Engineering (2025) - honoring Dr. Kim Yeon-jun's legacy with 150 million won prize 8th Kang Dae-won Award in Circuits and Systems (February 2025) Over his 30-year career, he has mentored 115 master's and doctoral students while publishing 712 papers and winning 34 best paper awards. He maintains strategic collaborations with global technology leaders including Google, NVIDIA, Apple, and Tesla to advance semiconductor research and talent development. His KAIST research group focuses on next-generation memory architectures for AI applications, working closely with semiconductor industry partners to translate cutting-edge research into commercial innovations that shape global AI infrastructure.

• Semiconductor Engineering
• AI Hardware
• Memory Design
• +3 more

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
• +6 more