YongHwi Song

B.S. Candidate in Information and Communication Engineering

Chungbuk National University, School of Information and Communication Engineering · Cheongju, Korea

GPA 3.83 / 4.5

Research Intern

Artificial Intelligence Laboratory (AI Lab), Chungbuk National University · Advisor: Prof. Keon Myung Lee

Conducting research on agentic AI, tool-using language models, and efficient world/world-action models.

Research Intern

Multimedia Information Processing (MIP) Laboratory, Chungbuk National University · Advisor: Prof. Hyun Soo Kang

Research on Autonomous Driving and Multimodal Reinforcement Learning.

Researcher, Hello, World! Season 2 — World Models Paper Review

Pseudo Lab (가짜연구소)

Reviewing World Models research papers, participating in technical discussions, and contributing structured review documents to the project website.

Advanced Division Leader, Applied Machine Learning Division

HyperCore AI & Data Analytics Club

Leading machine learning study sessions and supporting AI project development.

Folding — Local-First Document Agent

Team Project

Developed a local-first document agent for retrieving, connecting, and safely editing heterogeneous documents.

Solar TutorBoard: AI-Powered Personalized Learning Platform

Upstage MixUp Agent Hackathon

Built AI-agent workflows and backend infrastructure for an educational AI platform.

Multi-Agent Vehicle Trajectory Prediction on Argoverse 2

Personal Project

Implemented trajectory prediction models using the Argoverse 2 Motion Forecasting dataset.

Lightweight Action Readout for Efficient DriveWAM

Research Project

Investigating efficient action prediction by extracting lightweight action representations from multi-level world representations.

Comparative Survey of RL Research for Autonomous Driving

Independent Research Project

Analyzing 93 RL-based autonomous driving studies and summarizing key research trends.

Shapley-guided Multimodal RL for Autonomous Driving

Faculty-Supervised Research Project

Implemented Shapley-guided multimodal fusion using RGB, LiDAR, route, and ego-state inputs.

2026 NASA Space Apps Challenge — Seoul Local Event

Accepted as a participant in the Seoul Local Event with Team Moonkeeper.

Planning a CLPS lunar mission explorer that visualizes landing sites, Sun/Earth visibility, power and communication windows, and mission timelines from NASA data.

KRAFTON AI R&D Hackathon

Participating individually in Problem 3, Dream It Yourself.

Developing a lightweight video-based world-action model that predicts future frames and selects actions to swing up and balance a cart–double-pendulum from offline RGB data.

LG Aimers 9th Cohort — KBO Pitch Control Success Probability Prediction AI Hackathon

Advanced to Phase 2 Online AI Hackathon (Top 20%).

Worked on predicting pitch-control success probabilities from game context, player history, and tracking data.

2026 National Institute of Korean Language AI-Malpyung Competition — Argumentative Writing Scoring

Ranked 23rd in the preliminary competition and advanced to the 50-team final arena.

Developed an AI system for automated evaluation of Korean argumentative writing.

2026 CODEGATE AI Startup Hackathon

Finalist · Selected as one of approximately 20 finalist teams for the offline hackathon and demo day.

Participated in intensive development and validation of an AI-based startup MVP.

Upstage × BDAI Agent Development Hackathon

Finalist · Solar TutorBoard

Developed a Solar Pro3-based multi-agent platform for tutoring operations, including lesson reports, payment reminders, and schedule coordination.

Academic Excellence Scholarship

Chungbuk National University

Undergraduate Research Assistant Scholarship

Chungbuk National University

Academic Excellence Scholarship

Chungbuk National University

Academic Excellence Scholarship

Chungbuk National University