M.S. Student, Big Data · Chungbuk National University

CHHUN Rotanakkosal

“I want machines to understand what they see well enough to act on it.”

I am an integrated M.S. student in Big Data at Chungbuk National University, working at the AI Convergence Lab (AICLab) on multimodal models that connect vision and language, and on the perception that stands between a model and a robot that can pick something up.

01

News

  1. Sep. 2025

    Began my integrated M.S. in Big Data at Chungbuk National University, joining the AI Convergence Lab.

  2. 2025

    Presented work on continuous integration and deployment in modern DevOps practices at FITAT 2025.

  3. Aug. 2024

    Presented work on RAG ranking with leave-one-out reward supervision and DPO at BIGDAS 2024, Jeju Island.

02

Research Interests

  • Large language models

    agents, retrieval, and preference optimization.

  • Computer vision

    object detection and visual perception.

  • Multimodal models

    grounding language in what a model sees.

  • Physical AI

    perception for autonomous robotic manipulation.

03

Education

  • Chungbuk National University

    Sep. 2025 – present

    M.S. in Big Data (Integrated)

    AI Convergence Lab (AICLab).

  • Royal University of Phnom Penh

    Nov. 2019 – Jun. 2023

    B.S. in Computer Science

  • Foundation for Korea Software Global Aid

    Feb. 2022 – Dec. 2022

    Software Engineering Trainee

    Intensive program in Java/J2EE, Spring, web development, and databases, followed by an advanced DevOps track: Linux, Docker, Kubernetes, Jenkins, Ansible, GitOps (ArgoCD), and AWS.

04

Publications

International Conference

  • The Role of Continuous Integration and Continuous Deployment in Modern DevOps Practices

    Rotanakkosal Chhun, Vungsovanreach Kong, Sokheang Chan, Naro Vorn, Tae-Kyung Kim

    17th International Conference on Frontiers of Information Technology, Application and Tools (FITAT), 2025

  • Enhancing RAG Ranking with Leave-One-Out Reward Supervision and Direct Preference Optimization

    Rotanakkosal Chhun, Sokheang Chan, Vungsovanreach Kong, Tae-Kyung Kim

    12th International Conference on Big Data Applications and Services (BIGDAS), Jeju Island, Korea, 2024

05

Experience

  • Researcher · AI Convergence Lab, Chungbuk National University

    Sep. 2025 – present

    • Research on computer vision and LLM integration for multimodal systems.
    • Robotic vision for autonomous manipulation.

  • IT Instructor · Foundation for Korea Software Global Aid / Korea Software HRD Center

    Jan. 2023 – mid 2025

    • Set up and maintained the center's server infrastructure.
    • Self-directed research alongside teaching: ran LLM agents locally on a GPU server with Ollama, and explored OpenManus for web research, code generation, and multi-agent workflows.
    • Built ML and computer vision foundations: classical algorithms, CNNs, and YOLO object detection, including training YOLO on custom data.
06

Skills

Languages
PythonJavaC++SwiftSQL
ML & Vision
CNNsYOLOClassical MLOllamaLLM agents
Engineering
LinuxDockerKubernetesCI/CDNext.jsPostgreSQL
Spoken
Khmer (native)English