Feb 2026 – Present
Ongoing
LLM Inference Optimization & Agentic AI Systems
INA Lab, KAIST · Prof. Dongsu Han
Undergraduate Researcher → Incoming M.S. Student (Aug 2026)
Working on system-level optimization for agentic AI pipelines.
Focusing on speculative decoding — investigating how to select and adapt
decoding strategies based on workload characteristics to maximize inference efficiency
across diverse agentic tasks.
Sep 2025 – Dec 2025
Research Intern
mmWave-Based Weapon Detection System (Compressive Sensing)
CyPhy Lab, KAIST · Prof. Jun Han
Developed a weapon detection system using mmWave radar with metasurfaces.
Optimized Frequency Selective Surface (FSS) unit-cells to enhance sensing efficiency and imaging reconstruction performance.
Jul 2025 – Oct 2025
Policy Research
Exploration of Technology-Driven Security Challenges & Global Security Collaboration
FINST&P, KAIST · Commissioned by MOFA
Researcher
Conducted focused analysis on AI and cybersecurity as emerging strategic domains.
Examined technological trajectories and policy approaches of the US, China, and the EU,
and synthesized comparative insights to evaluate security implications and develop actionable strategic recommendations.
2024
Policy Research
Exploration of Emerging Technologies & International Security Issues
FINST&P, KAIST · Commissioned by MOFA
Researcher
Conducted case-based research on emerging technologies and their implications for international security.
Investigated policy responses across AI, cybersecurity, quantum science, space technology, battery systems, and critical minerals.
Synthesized global technology trends and proposed strategic considerations for national security planning.
Jan 2024 – Jun 2024
First Author
Effects of Medical School Quota Policy on STEM Human Resources
KAIST URP Program
Project Lead
Led empirical research examining how national medical school quota policies influence
the long-term distribution of STEM human resources in South Korea.
Designed the research framework, constructed datasets, and conducted quantitative analysis
to assess policy implications on higher-education and workforce trends.