Changdae Oh is currently pursuing a Master’s degree in Artificial Intelligence at the University of Seoul, South Korea, under the guidance of Prof. Jiyoung Jung and co-advisor Prof. Kyungwoo Song. He holds a Bachelor’s degree in Statistics from the same institution, with a brief hiatus due to military duty. Changdae has showcased his expertise as a Visiting Scholar at Carnegie Mellon University, where he collaborated on projects related to robust fine-tuning methods and multi-lingual language modeling. His research projects span various domains, including AI on the edge with robotics, education content relationship analysis, and epidemiological relevance evaluation technology. Changdae has contributed to patent-pending innovations in robust AI model training and general AI model training. He has received numerous awards and scholarships for his outstanding academic achievements and research contributions. Changdae’s commitment to the academic community is evident through his service as a conference reviewer and student volunteer. His coursework reflects a strong foundation in statistics, deep learning, computer vision, and natural language processing.