Optimization and Fixed-Point Theory
Iterative algorithms for fixed-point problems, convex minimization and variational inequalities in Hilbert and Banach spaces, with applications to image restoration, signal recovery and data classifi…
The fields the center's researchers work in, with the researchers, projects and publications in each.
Iterative algorithms for fixed-point problems, convex minimization and variational inequalities in Hilbert and Banach spaces, with applications to image restoration, signal recovery and data classifi…
Deep learning and machine learning for medical imaging and radiomics, facial expression and pain detection, recommender systems and food estimation, and metaheuristic optimization.
Statistical modelling and time-series forecasting, such as Holt–Winters and decomposition methods, maximum likelihood estimation, extreme value analysis and new probability distributions.
Analysis of health and public-health data, such as the health of specific populations, autism, traumatic brain injury and hospital patient data, to support medical decisions and health policy.
Forecasting and analysis of PM2.5 and PM10 dust, rainfall and temperature, especially in Northern Thailand, with statistical and machine learning methods.