Extensive knowledge in mathematics and statistics. Possible to integrate mathematics and statistics with deep learning. Detail-oriented, work efficiently with good work ethic. Able to meet deadlines under pressure and able to perform well in fast pace environment.- Able to quickly adjust to, and learn from a new environment, Good at time management - Valuable team player who can assist and lead, regarding the given situation- Studying Artificial Intelligence- Excellence in mathematics and statistics (GPA of Math: 4.27/4.5 & GPA of Stat : 4.08/4.5)- Proficient in computer prograimming (Python, Tensorflow and PyTorch)- Proficient in statistics analysis programming (R and SAS)- Submitted paper in AAAI 2021 and Information Fusion- Submitted paper in NeurIPs 2022Research Interest :- Artificial Intelligent- Deep Learning- Machine Learning- Model Compression- Optimization- Generative Model- Object Detection Publication (International Conference)CVPR 2023 : - SubmittedACCV 2022:- Jungeun Kim, Jeongeun Park, Ha Young Kim, "ADEL: Adaptive Distribution Effective-matching Method for Guiding Generators of GANs"AAAI 2021 : - Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheoyon Jin, Noseong Park, " DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation"Publication (International Journal)Information Fusion : - Ji Hyun Jang , Jisang Yoon , Jungeun Kim , Jinmo Gu , Ha Young Kim, "DeepOption: A Novel Option Pricing Framework Based on Deep Learning with Fused Distilled Data from Multiple Parametric Methods"Personal Linkgithub : https://github.com/jekim5418velog : https://velog.io/@jekim5418YouTube (paper review) : https://www.youtube.com/channel/UCr45Zv8Mxd1l7XE7WV2UCNQ