I am an undergraduate student majoring in Computer Science & Engineering at the College of Transdisciplinary Studies in DGIST, Korea.
As a passionate and driven prospective researcher in the field of 3D vision and graphics with AI, I am currently studying innovative ways to utilize deep learning on reconstruction of fine-grained 3D models from 2D images.
My aim is to contribute to creating a future where 3D data is easily accessible and can be utilized to its full potential. I strongly believe that advancements in the format of data will shape the way humans think, interact and solve problems, and I am eager to be part of this transformative and dynamic field.
Indoor localization using RSSI fingerprint. Fusion with LSTM network for building robust localization system. Details
Trained and analyzed reinforcement models to win the coin investment. Details
Study on pathfinding of deliveriy drone in road scene by simulation with Unity tool. Details
As a frontend developer for CLASSUM, I took charge of the web product interfaces, with a primary focus on feature implementation, bug resolution, and development of a text editor module to enhance the product's functionality.
Natural selection may seem like a straightforward concept, but in reality, it can be very difficult for a species to survive in a harsh environment from one generation to the next. To help you better understand this process, me and my team have created a web program that simulates the natural selection. Find in github. It is also served at here.
Some projects using React and Redux:
Minesweeper,
GoogleForm
Chrome extension development:
Time Saver
App development:
Madcamp1,
MalangMalang game,
Netgalpi