KONG Vungsovanreach
About
PhD candidate specializing in applied computer vision and multimodal AI, with over 8 years in software development and 5+ years in ML/AI. His research focuses on integrating Large Language Models (LLMs) with visual data for real-world applications in safety, healthcare, and surveillance.
Professional Experience
- 8+ years in Software Development
- 5+ years in Machine Learning and Artificial Intelligence
- Contributed to projects spanning medical imaging and real-time video analysis
- Extensive experience in developing scalable AI solutions for safety and compliance across industries
Research Focus
- Vision-Language Integration: Integrating Large Language Models with visual data for multimodal AI applications
- Computer Vision Applications: Advanced image and video analysis, object detection, and pattern recognition
- Real-World AI Solutions: Developing practical applications for safety, healthcare, and surveillance systems
- Medical Imaging: AI-driven analysis for healthcare applications
- Real-time Video Analysis: Building systems for live surveillance and monitoring
Technical Expertise
Strong proficiency in Python and C++ with extensive experience in computer vision libraries and LLM frameworks. Skilled in using deep learning frameworks for developing advanced image and video analysis systems.
- Deep Learning Frameworks (TensorFlow, PyTorch)
- Computer Vision Libraries (OpenCV, scikit-image)
- Large Language Model Frameworks
- Programming: Python, C++
- Big Data Processing and Analytics
Research Goals
Bridging vision-language AI and big data to develop scalable, impactful solutions for safety and compliance across industries. Focus on generating descriptive insights from visual patterns and creating systems that can understand and interpret complex visual information in real-world contexts.
Key Contributions
- Developed multimodal AI systems integrating LLMs with computer vision
- Created real-time video analysis solutions for safety applications
- Contributed to medical imaging projects using deep learning
- Built scalable AI solutions bridging academic research with industry needs