people

Hello, I’m Heejun Yoon, an AI researcher and engineer with a passion for using technology to solve real-world challenges. I hold a bachelor’s and master’s degree in electrical engineering from Ewha Womans University. My research focuses on applying deep learning to impactful projects, blending innovation with purpose. From developing advanced models for real-time semiconductor inspection to exploring satellite imagery analysis for environmental monitoring, I am driven by the potential of AI to make a meaningful difference. I strive to push the boundaries of what’s possible in technology, ensuring that progress aligns with sustainability and social good. My journey began with a fascination for optimizing complex systems to improve human life. During my master’s research, I specialized in machine vision, building efficient, adaptable deep learning architectures for semiconductor products inspection. As an undergraduate researcher, I delved into FMCW radar signal processing, exploring people counting, motion recognition with 3D point clouds, and vital sign monitoring. Thank you for visiting my site! Here, you’ll find insights into my research, projects, and the vision that drives me toward creating a better, more connected world through technology.

Hello, I’m Heejun Yoon, an AI researcher and engineer with a passion for using technology to solve real-world challenges. I hold a bachelor’s and master’s degree in electrical engineering from Ewha Womans University. My research focuses on applying deep learning to impactful projects, blending innovation with purpose. From developing advanced models for real-time semiconductor inspection to exploring satellite imagery analysis for environmental monitoring, I am driven by the potential of AI to make a meaningful difference. I strive to push the boundaries of what’s possible in technology, ensuring that progress aligns with sustainability and social good. My journey began with a fascination for optimizing complex systems to improve human life. During my master’s research, I specialized in machine vision, building efficient, adaptable deep learning architectures for semiconductor products inspection. As an undergraduate researcher, I delved into FMCW radar signal processing, exploring people counting, motion recognition with 3D point clouds, and vital sign monitoring. Thank you for visiting my site! Here, you’ll find insights into my research, projects, and the vision that drives me toward creating a better, more connected world through technology.