Research team
KONG Vungsovanreach

KONG Vungsovanreach

Researcher

AI Convergence Lab, Chungbuk National University

  • Computer Vision
  • Medical Imaging
  • LLM
  • Applied AI

About

Applied AI researcher specializing in computer vision, with 7+ years in software development and 5+ years in ML, AI, and computer vision. He completed his PhD in Big Data at Chungbuk National University and served as a Postdoctoral Researcher at AICLab from March to August 2026, where he worked on LLM applications such as NL2SQL and agentic AI alongside computer vision, and now continues at AICLab as a Researcher. His research focuses on real-world AI for safety, healthcare, and surveillance, including medical image analysis and video-based monitoring.

Education

PhD
PhD in Big Data
(Mar 2022 – Feb 2026)
Chungbuk National University, South Korea
Dissertation: "SKD-ReID: A Spatio-Temporal Knowledge Distillation Framework for Efficient Video Person Re-Identification"
MS
Master's in Big Data
(Mar 2020 – Feb 2022)
Chungbuk National University, South Korea
Thesis: "Design and Implementation of a Workflow and Orchestration Tool for Building Machine Learning Model"
BS
Bachelor's in Computer Science
(Nov 2014 – Dec 2019)
The University of Cambodia
IT
IT Professional Training
(Apr 2018 – Feb 2019)
Korea Software HRD Center, Cambodia
Basic course (Apr – Aug 2018) and advanced course (Oct 2018 – Feb 2019)

Recent publications

SCIE

MulFD-Net: Per-Scale Multi-Layer Feature Decomposition for Transparent and Reflective Object Segmentation

Vungsovanreach Kong, Seokwon Taylor Yoon, Jeong-Hun Won, Tae-Kyung Kim

IEEE Access, Early Access, Sep. 2026

View Paper
SCOPUS

ASG-LLM: An LLM-based pipeline for automated scraping code generation in security-sensitive environments

Sokheang Chan, Naro Vorn, Vungsovanreach Kong, Chang Kue Seok, Jong-Hyun Kim, Anand Nayyar, Tae-Kyung Kim

Array, Vol. 31, 101135, Sep. 2026

View Paper
SCIE

MRS-Agent: A map-reduce framework for quantifiable schema grounding in Text-to-SQL

Sokheang Chan, Vungsovanreach Kong, Anand Nayyar, Tae-Kyung Kim

ICT Express, Jul. 2026

View Paper