About Me

I am currently an undergraduate student in Electrical Engineering at Jeonbuk National University. My research interests focus on computer vision and embedded systems, with an emphasis on solving real-world problems through robust AI models. Recently, I have been working on deep learning–based anomaly detection for visual inspection, where I explore hybrid approaches combining CNN and Transformer architectures to handle unconstrained environments.

Beyond algorithm design, I am also interested in implementing vision-based AI systems on embedded hardware platforms such as Raspberry Pi and NVIDIA Jetson. By bridging vision algorithms with embedded deployment, I aim to develop practical and reliable solutions for industrial and IoT applications. My long-term goal is to define meaningful real-world challenges and create vision systems that translate into deployable solutions.