Training AI models
This project aims to develop a framework to manage data, evaluate the quality of the data for analysis, visualisation and mining, and exchange and share data among various platforms. Additionally, the data pre-processing methods will be investigated corresponding to key operating units.
Project Leader
Development of interpretable AI model
This project aims to improve AI models with the understandings and theories generated from mechanistic models. This is expected to improve the reliability and generality of an AI model and enables its use beyond the range of the training data.