Algorithm Engineer Intern, GenGenAI (2024.6.24 ~ 2024.8.30) (Link: GenGenAI)

• Verification and analysis of synthetic-data based training (Multi-class classification)
• Synthetic data generation in specific case

AI Research Intern, Meissa Planet (2023.6.12 ~ 2023.9.1) (Link: Meissa Planet)

• Satellite Image Anaylsis using Deep Learning & Computer vision
• Diffusion Models, Semantic Segmentation, Change Detection, Semantic Change Detection

UnderGraduate Student Researcher, SNU Visual & Geometric Intelligence Lab (2023.9 ~ Present) (Link: VGI Lab @ SNU)

• Under the supervision by Prof. Jaesik Park
• Diffusion Models, Drag Editing (Participated to InstantDrag Project: accepted to SIGGRAPH Asia 2024)
• Organized & Leaded Generative Model Studies with other undergraduated students in our lab. (Link: Generative Model Study)
• Reviewed 16 Papers about fundamental Generative Models (GAN, Diffusion Model, Consistency Model)

UnderGraduate Student Researcher, POSTECH Medical Imaging & Vision Lab (2023.9 ~ 2023.12) (Link: MIV Lab @ POSTECH)

• Under the supervision by Prof. Wonhwa Kim
• For Graduation Research Project I (POSTECH CSED499I)
• Medical Image segmentation, Wavelet Diffusion Models

UnderGraduate Student Researcher, POSTECH Computer Vision Lab (2022.9 ~ 2023.2) (Link: CV Lab @ POSTECH)

• Under the supervision by Prof. Jaesik Park
• Generative Adversarial Networks

Selected Courses

• Computer Vision, Computer Graphics, Deep Learning, Signal Processing, Artificial Intelligence
• Differential Equations, Applied Linear Algebra, Probability & Statistics, Advanced Linear Algebra

Stanford CS231n(Deep Learning for Computer Vision), 2022-Fall

• Online Open Course from Stanford University
• While I was an undergraduate student researcher at POSTECH CVLab

Stanford CS224n(Natural Language Processing with Deep Learning), 2023-Fall

• Online Open Course from Stanford University
• With NAEK YEHS Members

PAIS Weekly Paper Review, 2023-Fall

• PAIS means 'POSTECH Artificial Intelligence Society', which is AI Academy in POSTECH
• We read and present a total of three papers every week, one from each field (Computer Vision/Natural Language Processing/Machine Learning).
• I contributed our works by reviewing 2 papers, about UNet & GAN.

VGI Lab Generative Model Study, 2024-Spring

• Studied 16 Papers about fundamental generative models, such as GAN, Diffusion Model, Consistency Model.
• With 2 undergraduate students in VGI Lab
• I leaded and adivsed all of our works.