CHHOR Ratanaktepi
About
PhD student in Big Data at Chungbuk National University (CBNU), participating in an academic exchange and collaboration between MPTC and CBNU. Part of an initiative focused on building human resources in digital skills for advancing AI development in Cambodia.
Academic Background
- Current: PhD in Big Data, Chungbuk National University (CBNU)
- Master's Degree: ICT Policy, Soongsil University (KOICA Scholarship)
- Part of MPTC-CBNU academic exchange and collaboration program
Research Interests
- Emerging Technologies: Learning and exploring cutting-edge technology, particularly in AI and Big Data
- Operational Efficiency: How AI and Big Data can improve organizational and operational work
- Public Accessibility: Making AI technologies accessible to the general public
- Digital Skills Development: Building capacity in digital technologies for societal advancement
Research Focus
Her work encompasses the learning of emerging technology, particularly in the field of AI and Big Data, and how they can be used to improve the operational efficiency of organizational and operational work, and how it could be accessible to the general public.
International Collaboration
As part of the MPTC-CBNU collaboration, Ratanaktepi represents an important bridge between institutions, working towards building human resources in digital skills. This collaboration aims to advance AI development capabilities and foster knowledge transfer between Korea and Cambodia.
Vision & Goals
- Contribute to AI development in Cambodia through advanced research
- Bridge the gap between complex AI technologies and practical applications
- Develop solutions that improve organizational efficiency
- Make emerging technologies accessible to broader audiences
- Build capacity in digital skills for societal benefit
Unique Perspective
With a background in ICT Policy and current focus on Big Data and AI, Ratanaktepi brings a unique perspective that combines policy understanding with technical expertise. This allows her to consider both the technical and societal implications of AI development, ensuring that research outcomes are not only technically sound but also practically implementable and socially beneficial.