KONG Vungsovanreach

About

Postdoctoral Researcher specializing in applied computer vision and AI, with 7+ years in software development and 5+ years in ML, AI, and computer vision. His research focuses on medical image analysis, safety surveillance systems, and real-world AI applications in healthcare.

Education

PhD in Big Data (2022–Present) — Chungbuk National University, South Korea
Master's in Big Data (2020–2022) — Chungbuk National University, South Korea
Thesis: ML model workflow orchestration
Bachelor's in Computer Science (2014–2019) — The University of Cambodia
IT Professional Training (2018–2019) — Korea Software HRD Center

Professional Experience

2022–Present: Research Assistant (PhD), Chungbuk National University
2020–2022: Research Assistant (MSc), Chungbuk National University
2019–2020: IT Instructor, Korea Software HRD Center

Research Focus

Vision-Language Integration: Combining Large Language Models with visual data for multimodal AI applications
Safety Surveillance Systems: Fall detection, helmet detection, and real-time video monitoring using computer vision
Medical Image Analysis: Deep learning for dental panoramic radiography, periodontitis classification, and cardiac event prediction
Super-Resolution Imaging: Enhancing medical image quality for improved diagnostic accuracy
Healthcare AI: AI-driven prognosis and risk prediction for clinical decision support

Technical Skills

Languages: Python, Java, C++, Bash, R
ML/AI Frameworks: TensorFlow, PyTorch, Keras, OpenCV, Pandas, NumPy
Web Frameworks: Flask, Node.js, Spring Boot
Databases: MySQL, MongoDB, PostgreSQL
DevOps & Tools: Docker, Git, Jupyter, VS Code

Publications

PIFR: A novel approach for analyzing pose angle-based human activity to automate fall detection in videos

Authors: Vungsovanreach Kong, Saravit Soeng, Munirot Thon, Wan-Sup Cho, Anand Nayyar, Tae-Kyung Kim

PLOSOne — View Paper

IntelliScrape: Automated Web Scraping via a Closed-Loop LLM Guided by Observation and Replay

Authors: Vungsovanreach Kong, Sokheang Chan, Tae-Kyung Kim

BIGDAS Conference — View Conference

QA-SQL: Query-Augmented SQL generation using few-shot prompting with data augmentation

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

PeerJ Computer Science, Vol. 12, e3525, 2026 — View Paper

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

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

FITAT 2025 — 17th International Conference on Frontiers of Information Technology, Applications and Tools — View Paper

A Novel Hybrid Rule-based aggregation System for Detecting Abnormal Anomalies in Welfare Subsidy Transaction Operating in Real-time Scenarios

Authors: Sokheang Chan, Vungsovanreach Kong, Tae-Kyung Kim

BIGDAS Conference — View Conference

AI-Scientist Web-Based System for Streamlined Scientific Paper Generation

Authors: Naro Vorn, Sokheang Chan, Vungsovanreach Kong, Tae-Kyung Kim

BIGDAS Conference — View Conference

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

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

BIGDAS Conference — View Conference