KONG Vungsovanreach

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.

Background

Education

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"
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"
Bachelor's in Computer Science (Nov 2014 – Dec 2019)
The University of Cambodia
IT Professional Training (Apr 2018 – Feb 2019)
Korea Software HRD Center, Cambodia
Basic course (Apr – Aug 2018) and advanced course (Oct 2018 – Feb 2019)

Career

Professional Experience

Sep 2026 – Present: Researcher, AI Convergence Lab, Chungbuk National University
- Computer vision, LLM, and vision-language model research
Mar 2026 – Aug 2026: Postdoctoral Researcher, AI Convergence Lab, Chungbuk National University
- LLM applications, including NL2SQL and agentic AI systems
- Computer vision and deep learning research
Mar 2022 – Feb 2026: Research Assistant (PhD), Chungbuk National University
- Deep learning for dental radiograph analysis, combining super-resolution and segmentation
- Automated helmet detection for traffic safety surveillance
Mar 2020 – Feb 2022: Research Assistant (MSc), Chungbuk National University
- Big data analytics, blockchain applications for electronic voting, and medical AI
- Studies on cardiovascular risk prediction and periodontitis classification
Mar 2019 – Feb 2020: IT Instructor, Korea Software HRD Center, Cambodia
- Taught programming and web framework courses to aspiring IT professionals
- Mentored students in software development practices and project management

Areas

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

Skills