Academic Background
- Current: Ph.D. student in Big Data, Chungbuk National University (CBNU), Cheongju, Republic of Korea
- Master's Degree: Data Science, Institute of Technology of Cambodia (ITC), Cambodia (2024)
- Engineer's Degree: Computer Science, Institute of Technology of Cambodia (ITC), Cambodia (2023)
Professional Experience
- 4+ years of experience in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Data Science
- 2025: Full-time Lecturer and Researcher at Cambodia Academy of Digital Technology (CADT)
Research Projects
Contributed to a significant healthcare research project between France and Cambodia that focuses on using AI to improve antibiotic treatment. This international collaboration demonstrates his commitment to applying AI for healthcare advancement.
Research Interests
- Healthcare AI: Applying AI to medical diagnosis, treatment optimization, and patient care
- Transportation Systems: AI applications in intelligent transportation
- Speech Processing: Natural language understanding through audio signals
- Natural Language Processing (NLP): Text understanding and generation
- Computer Vision: Visual data analysis and interpretation
Technical Expertise
With over four years of hands-on experience in AI/ML/DL and Data Science, Mr. Phannet brings strong technical capabilities across multiple AI domains, from theoretical foundations to practical implementations in critical sectors like healthcare.
- Artificial Intelligence & Machine Learning
- Deep Learning Architectures
- Data Science & Analytics
- Healthcare AI Applications
- Computer Vision Systems
- Natural Language Processing
- Speech Processing Technologies
Healthcare AI Focus
His work on the France-Cambodia healthcare research project demonstrates his expertise in applying AI to critical healthcare challenges. The focus on antibiotic treatment improvement showcases his ability to work on projects with direct real-world impact on patient outcomes and public health.
Academic & Industry Balance
Mr. Phannet's experience as both a lecturer at CADT and a researcher demonstrates his ability to bridge academic research with practical teaching. This dual role enhances his research with practical perspectives while enriching his teaching with cutting-edge research insights.
International Collaboration
His involvement in the France-Cambodia healthcare project and current studies at CBNU show his capability in international research collaborations, bringing cross-cultural perspectives and facilitating knowledge transfer between different research communities.
Future Directions
- Advancing AI applications in healthcare diagnostics and treatment
- Developing multimodal AI systems for medical applications
- Exploring computer vision for medical imaging analysis
- Contributing to AI-driven solutions for public health challenges