Research Community

Core AI and machine-learning research: models and algorithms, natural language processing including Khmer language technology, computer vision, speech, and applied AI systems.

AI and digital tools applied to teaching, learning and assessment: curriculum design, learning analytics, adaptive and online learning, teacher capacity, and academic integrity in the classroom.

Data engineering and analytics, open and administrative data, information systems, cybersecurity, and the digital transformation of government, business and institutions.

Civil, mechanical, electrical, electronic and industrial engineering; robotics and automation, materials, manufacturing, construction and infrastructure.

Climate adaptation and mitigation, renewable energy, water resources, biodiversity, waste and pollution, environmental management and disaster risk reduction.

Pure and applied mathematics, statistics, physics, chemistry, earth sciences, and mathematical modelling and simulation.

Crop and livestock science, agronomy, aquaculture and fisheries, food processing and safety, smart farming, and agricultural value chains.

Public health, clinical and biomedical research, nursing, pharmacy, nutrition, biotechnology, health systems and digital health.

Economics, education and public policy, sociology, governance, law, gender, labour and employment, culture, and development studies.

Ethical review and research governance, responsible and fair AI, disclosure of generative-AI use and authorship, data protection and consent, plagiarism, and reproducibility.