I am primarily interested in multimodal AI, reinforcement learning-based network optimization, RF sensing, and IoT-based healthcare solutions. My work focuses on developing smart solutions by integrating IoT/ICT with deep neural networks, particularly in computer vision and wireless communication.
Recently, I led a lab project titled "Multimodal AI-based Human Mobility Detection, Tracking, and Motion Estimation." This project utilized WiFi signal characteristics to enhance camera-based detection and tracking performance. I was responsible for designing new multimodal and DL/ML algorithms to implement this approach.
Additionally, I developed an NFC sensor logging application for a healthcare project in collaboration with the KAIST MINT Lab. This application uses multimodal NFC sensors to measure and visualize real-time human body temperature and body pressure.
- Python
- LabVIEW
- MATLAB
- Java
- C/C++
- PyTorch/TensorFlow
- Open AI Gym/StableBaselines
- LabVIEW FPGA/LabVIEW Communications Application Frameworks
- Android Studio
- M.S. in Department of Computer Engineering, Chosun University.
- B.S. in Department of Computer Engineering, Chosun University (Summa cum Laude).