Younguk Yun
Principal Investigator
AI · Signal Processing / (ENTJ)
Yonsei University · Mirae Campus
AIS Lab
AI and Intelligent Sensing Laboratory
Welcome. Whoever you are, may God bless you.
We believe technology should ultimately serve people. Our research connects artificial intelligence with radar, vision, wireless, and IoT sensors to better understand people and the world around us.
01 · About
AIS Lab develops AI-driven sensor signal processing methods to understand people, spaces, and environments.
We analyze radar, vision, IMU, wireless, and IoT sensor signals by combining artificial intelligence with signal processing, sensor fusion, and efficient computing technologies.
Our research spans human intelligence, spatial intelligence, environmental intelligence, sensor signal processing, multimodal sensor AI, and efficient and reliable AI.
People
Human Intelligence
Spaces
Spatial Intelligence
Environments
Environmental Intelligence
02 · Research
Research areas
Application-oriented intelligence supported by sensor signal processing, multimodal fusion, and efficient AI technologies.
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01 · APPLICATION
Human Intelligence
Understanding human posture, movement, behavior,
and health conditions through intelligent sensing.
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Human Intelligence
Understanding human posture, movement, behavior, and health conditions through intelligent sensing.
Human Intelligence
- Pose & Motion Pose estimation, motion analysis, and gait analysis
- Activity Recognition Behavior recognition and abnormal activity detection
- Face & Body Analysis Face, skin, fatigue, and physiological state analysis
- Digital Healthcare Contactless monitoring and healthcare applications
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02 · APPLICATION
Spatial Intelligence
Estimating locations, tracking objects,
and reconstructing physical spaces as digital environments.
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Spatial Intelligence
Estimating locations, tracking objects, and reconstructing physical spaces as digital environments.
Spatial Intelligence
- Indoor Localization Wi-Fi, IMU, magnetic, visual, and multimodal localization
- Object Tracking Human, vehicle, drone, and trajectory tracking
- 3D Mapping & SLAM Spatial reconstruction and autonomous mapping
- Neural Digital Twin Gaussian Splatting and intelligent digital environments
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03 · APPLICATION
Environmental Intelligence
Detecting hazards, environmental changes,
and abnormal situations for intelligent safety systems.
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Environmental Intelligence
Detecting hazards, environmental changes, and abnormal situations for intelligent safety systems.
Environmental Intelligence
- Disaster Early Warning & Monitoring AI-based monitoring and early warning for natural and urban environments
- Anomaly Detection Detection of unusual events, environmental changes, and sensor anomalies
- Safety Monitoring Human safety monitoring, accident prevention, and risk assessment
- Intelligent Surveillance Real-time CCTV, drone, and IoT sensor monitoring systems
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04 · CORE TECHNOLOGY
Sensor Signal Processing
Improving noisy and uncertain sensor measurements
through signal analysis and state estimation.
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Sensor Signal Processing
Improving noisy and uncertain sensor measurements through signal analysis and state estimation.
Sensor Signal Processing
- Signal Representation Time, frequency, and multidomain signal analysis
- Signal Enhancement Noise suppression, restoration, and adaptive signal processing
- State Estimation Filtering, prediction, tracking, and uncertainty modeling
- Feature Transformation Dimensionality reduction, feature extraction, and representation learning
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05 · CORE TECHNOLOGY
Multimodal Sensor AI
Combining heterogeneous sensor signals
to build robust and context-aware perception systems.
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Multimodal Sensor AI
Combining heterogeneous sensor signals to build robust and context-aware perception systems.
Multimodal Sensor AI
- Radar Contactless sensing and radar signal intelligence
- Vision Image, video, depth, and 3D visual perception
- IMU & Wireless Motion sensors, Wi-Fi CSI, UWB, and IoT signals
- Sensor Fusion Data, feature, decision, and uncertainty-aware fusion
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06 · CORE TECHNOLOGY
Efficient & Reliable AI
Developing lightweight, resource-efficient,
and dependable AI for real-world sensor systems.
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Efficient & Reliable AI
Developing lightweight, resource-efficient, and dependable AI for real-world sensor systems.
Efficient & Reliable AI
- Lightweight AI Compression, pruning, quantization, and knowledge distillation
- Edge AI Mobile, embedded, low-power, and real-time inference
- Model Optimization Memory-efficient inference and computation acceleration
- Robust AI Uncertainty, generalization, explainability, and reliability
03 · Principal Investigator
Younguk Yun
Assistant Professor · Department of Software
Yonsei University, Mirae Campus
윤영욱, 소프트웨어학부 · 조교수
연세대학교 미래캠퍼스
His research focuses on artificial intelligence for sensor signal processing, multimodal perception, radar and wireless sensing, human motion analysis, and efficient AI systems.
Personal Hobbies and Interests:
🏊 Swimming · 🥊 Boxing · 🏋️ Fitness · 🏃 Running · 🏂 Snowboarding · ⚽ Soccer · 🏀 Basketball · 🎼 Composing · 🎧 DJing · 🎵 Music · 🎤 Singing · 🎻 Violin · 🖼️ Art Appreciation · 🎨 Drawing and Painting · ✍️ Writing · 💻 Technology Trend Analysis · 📷 Photography · 🌐 Reading Macroeconomic Trends · 📈 Stock Investing and Analysis · 🎮 Console Gaming · ☕ Food & Café Tours · 🍳 Cooking · 📺 Infinite Challenge (무한도전 또보기)
🏊 Swimming · 🥊 Boxing · 🏋️ Fitness · 🏃 Running · 🏂 Snowboarding · ⚽ Soccer · 🏀 Basketball · 🎼 Composing · 🎧 DJing · 🎵 Music · 🎤 Singing · 🎻 Violin · 🖼️ Art Appreciation · 🎨 Drawing and Painting · ✍️ Writing · 💻 Technology Trend Analysis · 📷 Photography · 🌐 Reading Macroeconomic Trends · 📈 Stock Investing and Analysis · 🎮 Console Gaming · ☕ Food & Café Tours · 🍳 Cooking · 📺 Infinite Challenge (무한도전 또보기)
04 · Teaching
Courses Taught
Undergraduate and graduate courses taught at Yonsei University Mirae Campus.
(The following courses are listed in alphabetical order.)
01
AI Fundamentals and Applications
Fundamentals and Practical Applications of AI
02
C Programming
Fundamentals of Computer Programming with C
03
Computational Thinking
Computational Thinking and Introductory Python Programming
04
Data Programming
Data Programming for Data Analysis
05
Data Structures
Data Structures Using C
06
Java Programming
Object-Oriented Programming with Java
07
Mobile Programming
Android Application Development
08
Object-Oriented Programming
Object-Oriented Programming with C++
09
Programming Practice
C Programming Practice and Project Development
10
Python Programming
Python Programming with AI Applications
11
Windows Programming
Win32 API, MFC, C#, and Unity
05 · Publications
publications
06 · People
Lab members
Researchers learning, building, and growing together.
Yena Han
Undergraduate Intern
AI · Activity Recognition / (INFJ)
Undergraduate Intern
Open position
Undergraduate Research Opportunities(Research Internship / Capstone)
We welcome applications from undergraduate students interested in research.
Graduate Researcher
Open position
MS / PhD applicants welcome07 · News
Lab updates
AIS Lab website opened. Welcome to our new online home.
Joined the Department of Software at Yonsei University Mirae Campus as an Assistant Professor. print(" * hello Yonsei. * ")
08 · Contact
Let’s build intelligent
systems together.
Students interested in AI, signal processing, sensors, human motion analysis, or AI systems are encouraged to contact us.
yu_yun@yonsei.ac.krLAB
AIS Lab
Artificial Intelligence & Sensor Laboratory
DEPT.
Department of Software
Yonsei University, Mirae Campus
ADDRESS
1 Yonseidae-gil, Wonju-si,
Gangwon-do, Republic of Korea
OFFICE
Mirae Building
514
09 · Game Zone
Vibe Coding
Hall of Fame.
A showcase of games created by students through vibe coding.
New projects will continue to be added to the collection.
For the best gaming experience, we recommend playing on a desktop PC.
(최적의 게임 환경을 위해 데스크톱 PC에서 실행해보세요.)
CASUAL GAME
Feed the Professor
Feed the professor as much as possible in this playful student-made game.
PUZZLE GAME
Block Drop
Arrange falling blocks, clear lines, and challenge your highest score.
CARD GAME
Sppider 97
A modern browser-based solitaire inspired by the classic spider card game, featuring combos, smooth animations, effects, and multiple difficulty levels.
NEXT PROJECT
More Games
More student-created games will be added as new vibe coding projects are completed.