Kim Young-heonMaster's course
- Bachelor's in Computer Engineering, Handong Global University (2024)
Climate AI
Environmental Monitoring
Publication
-
Younghun Kim et al. (2024). FRIDAY: Mitigating Unintentional Facial Identity in Deepfake Detectors Gudided by Facial Recognizers. IEEE International Conference on VCIP.
-
Doughho Park et al. (2024). PECI-Net: Bolus segmentation from video fluroscopic swallowing study images using preprocessing ensemble and cascaded inference. Computers in Biology and Medicine. (Second author)
-
김영헌 et al. (2024). 부분적 이미지 조작 증강 기법을 통한 딥페이크 탐지 일반화 성능향상. 대한전자공학회 학술대회
Kim Young-heon is passionate about applied research in deep learning. During his undergraduate studies, he collaborated with medical professionals on research projects utilizing computer vision in the healthcare field. Currently, he is interested in leveraging deep learning technologies in the environmental sector to contribute to carbon neutrality and sustainable technological development.
Kim Yu-jinMaster's course
- Bachelor's in Environmental Engineering & Design, Seoul National University of Science and Technology (2021)
Sustainable Cities
Shared Mobility
User Experience
Kim Yu-jin is interested in researching low-carbon shared mobility solutions for sustainable cities. Her goal is to design shared mobility systems from a user experience (UX) perspective to ensure seamless usability. Before pursuing her master's degree, she majored in Environmental Engineering and Industrial Design and gained practical experience as a corporate consultant in the field of environmental safety.
Lee ChaeyeonMaster's course
- Bachelor's in Resource and Environmental Engineering & Chemical Engineering (Double Major), Hanyang University (2025)
Carbon Credit
Carbon Market
Climate Strategy
Chaeyeon Lee is interested in enhancing the reliability of carbon emission trading markets. Recently, she has been conducting research on analyzing the integrity of carbon credits based on refined baselines and additionality verification. Through this work, she aims to develop methodologies that effectively link markets and policies.
Lee HaechanMaster's course
- Bachelor's in Big Data Management and Application, Harbin Institute of Technology (2025)
Supply Chain Carbon Emission Management
Input-Output Analysis
Haechan Lee’s research focuses on quantitatively assessing environmental impacts within supply chains. To this end, he utilizes domestic and international input–output tables to estimate carbon emissions and explore strategies for emission reduction.
Lee HyeonjiMaster's course
- Bachelor of Economics, Accounting, The Catholic University of Korea (2023)
ESG Disclosure
Sustainable Finance
Climate Finance
Student Lee Hyeonji is interested in researching corporate sustainable management strategies and investment analysis through ESG data analysis. In particular, she aims to examine the impact of climate change on corporate finance and explore carbon neutrality implementation strategies. Previously, student Lee Hyeonji built practical career in the ESG field while working in ESG consulting and at GridWiz.
Lee JinMaster's course
- Bachelor's in Climate and Energy Systems Engineering & Specialized Software (Double Major), Ewha Womans University (2025)
Integrated Assessment Model
Climate Risk
Jin Lee is interested in analyzing climate change impacts and assessing climate risks using Integrated Assessment Models (IAMs). In particular, she seeks to explore sustainable carbon neutrality transition strategies through research that connects climate science with macroeconomics.
