Model-based glycaemic control for gestational diabetes patients

About the project

About the Project Gestational diabetes mellitus (GDM) affects an estimated 15–25% of pregnancies in Malaysia, contributing to adverse maternal and neonatal outcomes such as preeclampsia, macrosomia, emergency delivery, and long-term metabolic disorders for both mother and child. Continuous glucose monitoring (CGM) systems have emerged as a transformative tool in diabetes care — yet optimal interpretation and personalised automated decision support for GDM remains an open research challenge. This project aims to develop a computational, personalised model for glycaemic control for pregnant women diagnosed with GDM. The research will explore how physiological modelling, data-driven algorithms, and real-time acquisition of CGM data can be integrated to provide safe, adaptive, and culturally relevant guidance for glucose management during pregnancy. Supervisors: Main Supervisor Assoc. Professor Alpha Agape , Monash University Co-supervisors: Assoc. Professor Chiew Yeong Shiong , Assoc. Professor Ooi Ean Hin , Dr Lim Sing Sheng ------------------------------------------------------------------------------------------ How to Apply It is suggested that you first contact the main supervisor and provide them with your academic background and achievements to determine whether you are a 'fit' for this research topic. If you feel you are a good fit, submit your application here and ensure that you enter the same research topic as advertised on this webpage. To review the application requirements, please refer to our application submission guide . More information about the scholarships and the course application process is available here .

Research areas