As a faculty member in the Department of Electrical and Information Engineering, my research spans several cutting-edge areas of computational engineering and applied computer science, with a focus on developing innovative solutions for complex engineering problems. My expertise lies in geometry processing, virtual and augmented reality, numerical tools for engineering, and deep learning for point clouds. I am particularly interested in how these areas can intersect to create advanced systems for real-world applications, such as immersive simulation environments and precise engineering computations. Through my work, I aim to push the boundaries of what can be achieved with digital tools, enhancing both the accuracy and usability of computational methods in engineering. I have been involved in a number of interdisciplinary projects that bring together these technologies to solve critical challenges in fields ranging from architecture to autonomous systems. By integrating cutting-edge algorithms with practical applications, my research strives to bridge the gap between theoretical innovation and practical implementation. This approach not only contributes to academic knowledge but also drives meaningful advancements in industry.
My research spans several cutting-edge areas of computational engineering and applied computer science:
- Geometry Processing
My work in geometry processing focuses on developing algorithms for the analysis, manipulation, and optimization of geometric data. This includes mesh generation, shape analysis, and surface approximation, which are fundamental for applications in computer graphics, engineering simulations, and more.
Some of research projects that I have worked in geometry processing are:- Subspace methods for geometry processing
- Eigenfunctions of Laplace-Beltram operators
- Virtual and Augmented Reality
I explore the immersive potential of Virtual Reality (VR) and Augmented Reality (AR) in engineering and education. My projects in this domain have included designing VR-based applications for architectural visualization, educational training, and interactive simulation environments, where users can engage with digital twins and modify real-world scenarios virtually.
Projects that I have worked in virtual and augmented reality include:- Virtual Reality for Product Design and Display
- Virtual Reality for Korean Language Education
- Virtual Reality for Virtual Tour
- Augmented Reality for Language Education
- Numerical Tools for Engineering
Developing numerical solutions for engineering problems is another key focus of my research. I work on computational methods that aid in solving complex differential equations, optimizations, and simulations for various engineering applications, improving precision and efficiency in both academia and industry.
I have the opportunity to work on several projects in numerical tools, including:- Linear solver on geometry processing
- Multigrid solver for geometry processing
- Deep Learning for Point Clouds
My research in deep learning targets the interpretation and processing of 3D point cloud data. I aim to develop novel algorithms that enhance the understanding of 3D environments, which are applicable in areas such as autonomous vehicles, object recognition, and real-time 3D mapping.
My experience in this topic include:- CNN for Deep Learning on point clouds
- Serious Game
I have a strong interest in the development of serious games, particularly for education and training purposes in critical environments.
Some of my works in the areas of serious games are:- Serious Game for education