CV - Kong Vungsovanreach

Profile

AI Researcher and Senior Software Engineer with 7+ years of software development experience and 5+ years specializing in machine learning, deep learning, and computer vision. Completed PhD in Big Data at Chungbuk National University, focusing on medical image analysis and deep learning applications. Published 18 peer-reviewed papers including SCIE-indexed journals. Passionate about bridging the gap between cutting-edge research and real-world AI applications.

Research Highlights

            18
            Publications
          

            10
            Journal Articles
          

            8
            Conference Papers
          

            5+
            SCIE Indexed
          

Research Interests: Computer Vision, Deep Learning, Super-Resolution, Medical Image Analysis, Human Activity Recognition, and Medical AI Technology.

Employment

Postdoctoral Researcher Mar 2026 - Present

AICONVERGENCELAB, Chungbuk National University, South Korea

Conducting research on LLM applications, including Natural Language to SQL (NL2SQL) and Agentic AI systems
Advancing computer vision and deep learning applications for real-world problems
Collaborating on interdisciplinary AI convergence projects

Research Assistant (PhD) Mar 2022 - Feb 2026

Chungbuk National University, South Korea

Conducted PhD research on deep learning-based medical image analysis, focusing on dental panoramic radiographs and cardiovascular disease prediction
Developed novel super-resolution integrated segmentation models achieving 15% improvement in periodontal bone loss detection accuracy
Published 6 first-author papers in SCIE-indexed journals including PLoS One, Bioengineering, and PeerJ
Collaborated with medical professionals to translate AI research into clinical applications

Research Assistant Mar 2020 - Feb 2022

Chungbuk National University, South Korea

Completed Master's research on ML workflow orchestration tools for automated model building pipelines
Developed blockchain automation tools for Hyperledger Fabric network deployment using Ansible
Applied statistical methods and machine learning to healthcare data analysis projects

IT Instructor Mar 2019 - Feb 2020

Korea Software HRD Center, Cambodia

Delivered technical training to 50+ students in Java Programming, Spring Framework, and Laravel
Designed curriculum and hands-on projects for enterprise software development courses

Education

PhD in Big Data Mar 2022 - Feb 2026

Chungbuk National University, South Korea

Thesis: SKD-ReID: A Spatio-Temporal Knowledge Distillation Framework for Efficient Video Person Re-Identification

Master of Science 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 of Science in Computer Science Nov 2014 - Dec 2019

The University of Cambodia, Cambodia

Technical Skills

Programming Python, Java, C++, Bash, R

AI/ML Frameworks PyTorch, TensorFlow, Keras, OpenCV, Pandas, NumPy, Matplotlib

Web Development Flask, Node.js, Spring Boot, REST APIs

Database & Tools MySQL, MongoDB, PostgreSQL, Git, Docker, Jupyter

Selected Publications

[J]: Journal [C]: Conference * First/Corresponding Author

Journal Articles (10 total)

[J1]* Kong, V., et al. (2025). PIFR: A novel approach for analyzing pose angle-based human activity to automate fall detection in videos. PLoS One, 20(6), e0325253. [SCIE]

[J2] Shon, H. S., Kong, V., et al. (2022). Deep learning model for classifying periodontitis stages on dental panoramic radiography. Applied Sciences, 12(17), 8500. [SCIE]

[J3]* Kong, V., Kim, K. A., & Shon, H. S. (2025). Deep learning-based prognosis of major adverse cardiac events in AMI patients. Osong Public Health and Research Perspectives. [SCIE]

[J4]* Kong, V., et al. (2024). Integrating super-resolution with deep learning for enhanced periodontal bone loss segmentation. Bioengineering, 11(11), 1130. [SCIE]

[J5] Soeng, S., Kong, V., et al. (2024). A simple and efficient approach for extracting object hierarchy in image data. IJACSA, 15(8).

[J6]* Kong, V., et al. (2022). Recurrence risk prediction of acute coronary syndrome per patient. PeerJ, 10, e14348. [SCIE]

[J7]* Kong, V., et al. (2023). Automated tool for building Hyperledger Fabric blockchain networks using Ansible. Int. Journal of Contents, 19(2), 15-27.

[J8] Shon, H. S., Kong, V., et al. (2023). Improvement of kidney tumor stage classification using ML methods. KIEE Journal, 72(11), 1412-1419.

[J9] Aing, T., Kong, V., et al. (2021). A blockchain network construction tool and electronic voting application. Journal of Big Data, 6(2), 151-159.

[J10] Chan, S. H., Kong, V., et al. (2026). QA-SQL: Query-Augmented SQL generation using few-shot prompting. PeerJ Computer Science. (Accepted)

Conference Papers (8 total)

[C1]* Kong, V., et al. (2024). ML models for prediction of MACE in AMI patients. KIEE Conference, 2313-2314.

[C2]* Kong, V., et al. (2023). Web-based application for periodontitis stages classification. KIEE Conference, 1987-1988.

[C3] Soeng, S., Kong, V., et al. (2023). Automated detection of motorcycle rider without helmet. KMIS Conference, 896-898.

[C4]* Kong, V., et al. (2021). Comparison of classification techniques for imbalanced data. KIEE Conference, 1886-1887.

[C5-8] 4 additional conference papers on blockchain, dental image analysis, and smart factory data (2021-2022).

Professional Training

Advanced IT Professional Training Oct 2018 - Feb 2019

Korea Software HRD Center, Cambodia

iOS Development, Project Management, Agile Methodology

Basic IT Professional Training Apr 2018 - Aug 2018

Korea Software HRD Center, Cambodia

Java, Web Development, Spring Framework, Database Design

Languages

Khmer Native

English Professional

Korean Beginner