< Applied AI Researcher />
A quick learner and skilled researcher with 9+ years of software development experience and 5+ years in big data, machine learning, deep learning, IoT, and NLP. Ph.D. in Big Data from Chungbuk National University, South Korea.
My academic journey in Computer Science and Big Data
Chungbuk National University, South Korea
Mar 2022 – Feb 2026
Dissertation: A Multimodal Framework for Real-Time Abnormal Human Action Detection Using Spatio-Temporal Modeling and Vision-Language Reasoning
Chungbuk National University, South Korea
Mar 2020 – Feb 2022
Dissertation: An Implementation of IoT End-to-end Data Pipeline for Industrial Big Data Platform
Royal University of Phnom Penh, Cambodia
Nov 2013 – May 2017
Professional journey in AI research and software development
Big Data Labs, Chungbuk National University, South Korea
Mar 2020 – Feb 2026
Research Area: Big Data, AI, IoT, Computer Vision
Korea Software HRD Center, Cambodia
Mar 2017 – Feb 2020
Selected research work in AI and Big Data
Intelligent surveillance systems using deep learning, pose estimation, and video-based action recognition. Automated solutions for fall detection, fight detection, and motorcycle helmet compliance monitoring.
Platform to collect, process, store, monitor, and analyze IoT-based sensor data for monitoring and analyzing manufacturing processes in factories.
System to verify company addresses from various countries using Google Geocoding and deep learning. Funded by Korea Food and Drug Administration.
Voting system using Hyperledger Fabric private blockchain for student council representative elections at Chungbuk National University.
OCR-based information extraction on Korean receipts using OpenCV, NLP, and Regular Expression to extract store details, transaction info, and product details.
Technologies and tools I work with