15
papers / year
At least 15 publications a year in ISI/Scopus Q1/Q2, generating new academic knowledge.
Vision
Driving excellence, fostering innovation, and elevating capabilities to the global stage through transformative research and technology.
Vision
To be a leading-edge research center of excellence in optimization and computational intelligence for big data prediction, with international standards, for sustainable development.
3-year goals
Targets for the next three years.
15
papers / year
At least 15 publications a year in ISI/Scopus Q1/Q2, generating new academic knowledge.
6
prototype innovations
At least 6 prototype innovations for big-data prediction of non-communicable diseases (NCDs).
1
project / year
Transfer high-impact research technology to communities through at least one project a year.
40:10,000
research workforce
Develop highly capable people from undergraduate to early- and mid-career researchers, at a ratio of 40 per 10,000.
TH + 5
collaboration network
Build collaborative research networks in Thailand and abroad.
Mission
Produce leading-edge research at international standards in optimization and computational intelligence for big data prediction.
Develop technology prototypes and innovations for analysing and predicting large-scale data, focusing on medical data such as NCDs, PM 2.5 and climate data, for sustainable community benefit.
Develop people with expertise in optimization and computational intelligence for big data prediction.
Build and grow collaborative networks in Thailand and abroad.
Strategy
Support research in optimization and computational intelligence by pooling researchers’ expertise to generate and integrate new knowledge.
Promote interdisciplinary collaboration in Thailand and abroad through training and seminars.
Transfer research outcomes to communities through practical academic services.
Develop research-based technology prototypes and innovations for sustainable community development.
Seek research questions that improve community health and well-being, and work on them together with communities.
Build a system for developing people from undergraduate to early- and mid-career researchers.
Research
01
Fixed-point theory and optimization algorithms with proven convergence.
02
Machine learning and deep learning for images, text and health data.
03
Predictive models on large-scale data for health, environment and logistics.