From Principle to Practice
Building General, Scalable, and Efficient AI
SAILab explores AI research from theory to implementation. We develop models and systems that are general, scalable, efficient, and sustainable in academic settings.
Research Interest
VLMs
AI Security
Data Filtering
Social AI
Reinforcement Learning
Autonomous Driving
Diffusion Models
Research Direction
AI Principles
Scalability & Efficiency
Generalization
Foundation Model
Academic Sustainability
News
2026
2026.05
Awarded a research project on AI–semiconductor convergence, funded by the COSS Next-Generation Semiconductor Innovation Convergence University Program. (Project Lead)
2026.05
Awarded a research project on safe and trustworthy AI agents, funded by the National Research Foundation of Korea (NRF).
2026.04
Awarded a research project on Agentic AI, funded by the National Security Research Institute (NSR, 국가보안기술연구소). (PI)
2026.03
Granted the NRF Outstanding Early-Career Researcher Program (우수신진연구), funded by the National Research Foundation of Korea (NRF). (PI)
2026.01
CLDA is accepted at ICASSP 2026.
2026.01
Prof. Hyesong Choi will visit UIUC for two months to conduct collaborative research on Social AI and deepfake detection with Prof. Jim Rehg’s group.
2025
2025.12
RobIA is accepted at NeurIPS 2025.
2025.11
Prof. Hyesong Choi has been appointed as a Board Member (학회 이사) of the International Conference on ICT Convergence (ICTC).
2025.09
Prof. Hyesong Choi joins Soongsil University as an Assistant Professor in the School of Electrical Engineering.
2025.08
Prof. Hyesong Choi received her Ph.D. in Computer Science and Engineering from Ewha Womans University, with a research focus on large-scale model pre-training, and was awarded the Outstanding Dissertation Award (Graduate School-wide).