HELLO, I'M

Jooho Son

I am an undergraduate researcher at KAIST working on 3D computer vision, neural rendering, reinforcement learning, and multi-agent systems.

I am interested in systems that understand, reconstruct, and act in the physical world. My work connects research ideas to reproducible experiments—clear assumptions, controlled evaluation, failure analysis, and working code.

I am currently involved in research at KAIST CVLab. Previously, I explored AI for Science at DSAIL and led applied AI, education, and consulting projects.

Research Interests

Primary

3D/4D Vision & Spatial Intelligence

Learning spatial and spatiotemporal representations for 3D reconstruction, dynamic-scene understanding, novel-view synthesis, and neural rendering.

Primary

Vision-Language-Action (VLA)

Connecting visual perception, language reasoning, and embodied action to build agents that understand and interact with the physical world.

Secondary

Human–AI Interaction & Multi-Agent Systems

Designing human-centered AI experiences and coordinated agent systems that support communication, collaboration, and real-world decision-making.

CVLab Publications & Ongoing Research

2026

4D Novel View Synthesis

KAIST CVLab collaborative research · Contributor (non-first author)

Contributed literature review, experimental-condition design, quantitative evaluation tables, baseline comparisons, and paper figures for dynamic-scene reconstruction research.

Manuscript under review
Ongoing

City-Scale Mesh Reconstruction

KAIST CVLab collaborative research · Contributor

Contributing prior-art and baseline analysis, problem formulation, pipeline design, and weekly research materials for large-scale urban 3D reconstruction.

Work in progress

Additional project pages, paper links, and code will be added as they become publicly available.

Selected Projects

Tech for Impact · 2025

Ieum ↗

Developed an AI assistant-powered communication service designed to help adolescents with developmental disabilities express themselves and engage in supportive conversations.

  • Assistive AI
  • Conversational UX
  • Social Impact
Field Study · 2026

Starlink × Sky View

Measured the relationship between sky obstruction and satellite-internet performance by synchronizing terminal, GPS, network, and sky-mask data.

  • Networking
  • Measurement
  • Data Analysis
Reinforcement Learning · 2026

Top-Gun RL

Developed a combat-simulation training workflow using PPO, SAC, curriculum learning, self-play, checkpoint recovery, and sequence replay.

  • Self-play
  • PPO / SAC
  • Simulation
Multi-Agent Systems · 2026

Plan Bee

Built a proxy-agent negotiation system that replans work when schedule changes create bottlenecks in software teams.

  • LangGraph
  • FastAPI
  • React

Activity

Selected moments from consulting, education, and applied AI work beyond the lab.

Strategy & Consulting · 2024–2025

KAIST Management Study Group (MSK)

Led and contributed to strategy projects for Frip, Nota AI, and Coupang Play, turning market research into concrete service and go-to-market proposals.

AI Competition · 2026

Hanwha Life Future Talent Contest

Won 3rd Prize in the AI sector by proposing a structured data pipeline and model-selection framework for an insurance AI solution, then presented the work at the final stage.

Chungnam Science High School+

29th Cohort · Graduated early before entering KAIST.

KAIST Management Study Group+

Vice President · Led consulting projects for Nota AI and Frip, translating market questions into executable strategies.

Timor-Leste Global Volunteering Group+

AI Education Lead · Designed and delivered an English-language AI development curriculum.

Previous research labKAIST DSAIL+

Undergraduate Researcher · Reviewed AI for Science research and studied graph learning and scientific reasoning pipelines.

Hanwha Life Future Talent Contest+

3rd Prize, AI Sector · Recognized for an AI project in Hanwha Life's future-talent competition before joining CVLab.

Current research labKAIST Computer Vision Lab (CVLab)+

Undergraduate Researcher · Joined CVLab after the Hanwha Life contest, following the earlier research experience at DSAIL. Currently conducting research on 4D novel-view synthesis, city-scale mesh reconstruction, action latent representations, and vision-language-action models.

Skills

Certifications & Language

Craftsman Information Processing
Korean National Technical Qualification

APEX AI Certification

TOEIC 835
English proficiency

Technical Skills

Research: 3D Vision, Neural Rendering, RL, Multi-Agent Systems

Languages: Python, C, Java, Scala, TypeScript

Systems: PyTorch, Node.js, SQL, MongoDB, Git

Collaboration & Coffee Chats

I am always open to discussing research, projects, and new ideas.

durei1@kaist.ac.kr +82 10-2144-8064