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Hi, I'm Sovanreach

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Senior Software Engineer and AI Researcher with 7+ years of software development experience and 5+ years specializing in deep learning and computer vision.

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Kong Vungsovanreach
AI Engineer
Computer Vision
Big Data
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About Me

My Introduction

0+ Years in
Software Dev
0+ Years in
ML/AI/CV
0 Research
Publications

I am an Applied AI Researcher specializing in Computer Vision and Artificial Intelligence with over 7+ years in software development and 5+ years in ML, AI, and CV. My work focuses on real-world applications in safety, healthcare, and surveillance, using deep learning frameworks for advanced image and video analysis, object detection, and pattern recognition.

Skills

My Tech Stack

Technologies and tools I use to bring ideas to life.

Programming Languages

Python Java C++ Bash R

Data Science & AI

Pandas NumPy OpenCV TensorFlow PyTorch Keras Matplotlib Pillow

Web Frameworks

Flask Node.js Spring Boot

Databases

MySQL MongoDB PostgreSQL

Tools & IDEs

Jupyter VS Code IntelliJ Git Docker

Operating Systems

Ubuntu Windows macOS
Experience

My Journey

2022.03 ~ Present

PhD Candidate

Chungbuk National University

Specializing in Big Data with research focus on deep learning for computer vision applications in safety systems and medical image analysis.

2020.03 ~ 2022.02

Master's Degree

Chungbuk National University

Major in Big Data. Thesis: Design and Implementation of a Workflow and Orchestration Tool for Building Machine Learning Models.

2014.11 ~ 2019.12

Bachelor's Degree

The University of Cambodia

Major in Computer Science with focus on software development and programming fundamentals.

2018.04 ~ 2019.02

IT Professional Training

Korea Software HRD Center

Completed training in Java, Spring Framework, Web Development, iOS Development, and Project Management.

Publications

Research Work

[J*]: Journal Publication • [C*]: Conference Publication • [D*]: Dissertation

[J1]

PIFR: A Novel Approach for Analyzing Pose Angle-based Human Activity to Automate Fall Detection in Videos

Kong, V., Soeng, S., Thon, M., Cho, W. S., Nayyar, A., & Kim, T. K. (2025)

PLoS One, 20(6), e0325253

[J2]

Deep Learning Model for Classifying Periodontitis Stages on Dental Panoramic Radiography

Shon, H. S., Kong, V., Park, J. S., Jang, W., Cha, E. J., Kim, S. Y., Lee, E. Y., & Kang, T. G. (2022)

Applied Sciences, 12(17), 8500

[J3]

Deep Learning-based Prognosis of Major Adverse Cardiac Events in Patients with Acute Myocardial Infarction

Kong, V., Kim, K. A., & Shon, H. S. (2025)

Osong Public Health and Research Perspectives

[J4]

Integrating Super-Resolution with Deep Learning for Enhanced Periodontal Bone Loss Segmentation in Panoramic Radiographs

Kong, V., Lee, E. Y., Kim, K. A., & Shon, H. S. (2024)

Bioengineering, 11(11), 1130

[J5]

A Simple and Efficient Approach for Extracting Object Hierarchy in Image Data

Soeng, S., Kong, V., Thon, M., Cho, W. S., & Kim, T. K. (2024)

International Journal of Advanced Computer Science & Applications, 15(8)

[J6]

Recurrence Risk Prediction of Acute Coronary Syndrome per Patient as a Personalized ACS Recurrence Risk

Kong, V., Somakhamixay, O., Cho, W. S., Kang, G., Won, H., Rah, H. C., & Bang, H. J. (2022)

PeerJ, 10, e14348

[J7]

Automated Tool for Building Hyperledger Fabric Blockchain Networks Using Ansible

Kong, V., Soeng, S., Lee, K. H., & Cho, W. S. (2023)

International Journal of Contents, 19(2), 15-27

[J8]

Improvement of Kidney Tumor Stage Classification Performance Using Machine Learning Methods

Shon, H. S., Kong, V., Yun, S. J., Oh, J. W., Kang, T. G., & Kim, K. A. (2023)

Journal of the Korean Institute of Electrical Engineers, 72(11), 1412-1419

[C1]

Machine Learning Models for Prediction of Major Adverse Cardiovascular Events in Acute Myocardial Infarction Patients

Kong, V., Park, J. S., Shon, H. S., & Kim, K. A. (2024)

Proceedings of the KIEE Conference, 2313-2314

[C2]

Automated Detection of Motorcycle Rider Without Wearing Helmet Using Surveillance Camera

Soeng, S., Kong, V., Cho, W. S., Kim, J. S., & Kim, T. K. (2023)

Korea Management Information Systems Conference, 896-898

Contact

Get In Touch

Feel free to reach out for collaborations, research opportunities, or just a friendly chat!

Email

kv.sovanreach@gmail.com

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Location

Cheongju, South Korea

Open to remote work

LinkedIn

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Kong Vungsovanreach

KONG VUNGSOVANREACH

AI Researcher & Senior Software Engineer

Bridging the gap between research and real-world AI applications

PhD Candidate in Big Data 7+ Years in Software Development 18 Research Publications

Cheongju, South Korea

About Me

A highly motivated and fast-learning engineer passionate about leveraging AI to solve real-world problems. With 7+ years of software development experience and 5+ years specializing in machine learning, deep learning, and computer vision, I focus on building practical AI solutions that make a difference.

Currently pursuing a PhD in Big Data at Chungbuk National University, my research centers on applying deep learning techniques to medical image analysis and public safety systems. I am a Python enthusiast with extensive experience in data science libraries and production-grade ML pipelines.

Languages

Khmer Native
English Professional
Korean Beginner

Education

2022 - Present

PhD Candidate in Big Data

Chungbuk National University, South Korea

Research focus on deep learning for computer vision applications in medical imaging and safety surveillance systems. Developing novel approaches for image segmentation and object detection.

2020 - 2022

Master's Degree in Big Data

Chungbuk National University, South Korea

Thesis: "Design and Implementation of a Workflow and Orchestration Tool for Building Machine Learning Models" - Developed an end-to-end ML pipeline automation framework.

2014 - 2019

Bachelor's Degree in Computer Science

The University of Cambodia

Foundation in software development, algorithms, data structures, and programming fundamentals. Active participant in coding competitions and tech communities.

Work Experience

2022 - Present

Research Assistant (PhD)

Chungbuk National University, South Korea

Leading research on deep learning models for dental radiograph analysis using super-resolution and segmentation techniques. Developing automated helmet detection systems for traffic safety.

2020 - 2022

Research Assistant (MSc)

Chungbuk National University, South Korea

Conducted research in Big Data analytics, blockchain applications for e-voting, and medical AI. Published studies on cardiovascular risk prediction and periodontitis classification.

2019 - 2020

IT Instructor

Korea Software HRD Center, Cambodia

Taught Java Programming, Spring Framework, and Laravel to aspiring IT professionals. Mentored students in software development best practices and project management.

Research Focus

Medical Image Analysis

Developing deep learning models for dental radiograph analysis, including periodontal bone loss segmentation and periodontitis stage classification using panoramic X-rays.

Safety & Surveillance

Building computer vision systems for automated detection of traffic violations, including motorcycle helmet detection for public safety enhancement.

Healthcare AI

Creating predictive models for cardiovascular disease risk assessment, enabling personalized medicine approaches for acute coronary syndrome patients.

Super-Resolution

Integrating image super-resolution techniques with deep learning to enhance medical image quality and improve downstream analysis accuracy.

Technical Skills

Languages

Python, Java, C++, Bash, R

Data Science

Pandas, NumPy, OpenCV, TensorFlow, PyTorch, Keras, Matplotlib, Pillow

Web Frameworks

Flask, Node.js, Spring Boot

Databases

MySQL, MongoDB, PostgreSQL

IDE & Tools

Jupyter, VS Code, IntelliJ, Git, Docker

OS

Ubuntu, Windows, macOS

Key Projects

Periodontal Bone Loss Segmentation

Deep learning system integrating super-resolution for enhanced dental X-ray analysis. Improved segmentation accuracy by 15% using novel preprocessing techniques.

PyTorch, OpenCV, Medical Imaging

Helmet Detection System

Real-time computer vision system for detecting motorcycle riders without helmets. Deployed for traffic safety monitoring with 94% detection accuracy.

YOLO, TensorFlow, Real-time Processing

ML Workflow Orchestration Tool

End-to-end platform for building, training, and deploying machine learning models with automated pipeline management. Master's thesis project.

Python, Flask, Docker, MLOps

Publications

J

PIFR: A Novel Approach for Analyzing Pose Angle-based Human Activity to Automate Fall Detection

PLoS One, 2025 - SCIE Indexed

J

Deep Learning-based Prognosis of Major Adverse Cardiac Events in AMI Patients

Osong Public Health and Research Perspectives, 2025

J

Integrating Super-Resolution with Deep Learning for Periodontal Bone Loss Segmentation

Bioengineering (MDPI), 2024 - SCIE Indexed

J

Deep Learning Model for Classifying Periodontitis Stages on Dental Panoramic Radiography

Applied Sciences (MDPI), 2022 - SCIE Indexed

+ 14 more publications (10 journals, 8 conferences)

Professional Training

Advanced IT Professional Training

Oct 2018 - Feb 2019

Korea Software HRD Center, Cambodia

iOS Development Project Management Agile Methodology Team Leadership

Basic IT Professional Training

Apr 2018 - Aug 2018

Korea Software HRD Center, Cambodia

Java Programming Web Development Spring Framework Database Design

These intensive training programs provided hands-on experience in enterprise software development, preparing me for both technical and leadership roles in the IT industry.

Let's Connect

I'm always open to discussing research collaborations, AI projects, or opportunities in applied machine learning.

kv.sovanreach@gmail.com https://sovanreach.com github.com/kvsovanreach linkedin.com/in/kvsovanreach Google Scholar

Thank You!

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