The research addresses three primary objectives:
- To develop robust AI models that analyze individual body composition to accurately identify micro- and macronutrient deficiencies, predicting the precise therapeutic food requirements for clinical malnutrition management. (Year 1)
- To formulate advanced optimization algorithms that scale individualized nutrition recommendations to a community level, balancing personal metabolic needs with regional food availability and supply chain constraints to strengthen local food security. (Year 2)
- To design and rigorously test a scalable software recommendation system that translates nutritional data, electronic health records and clinical laboratory parameters into an accessible, highly personalized daily meal and therapeutic food prescription. (Year 3)
For enquiries, please contact Dr Yuen Kam Fung, Kevin
For more information about this project, please visit our GEMS website.
How to Apply
When you apply for admission into your preferred degree program you will be able to select your scholarship type. No separate application is required.
By clicking on a course, you will be directed to further information, including details on ‘How to Apply’.
However, before applying for a GEMS, it is recommended that you first contact the main supervisor for this GEMS research topic. Please provide details of your academic background and achievements to the supervisor so that they can assess your suitability for the GEMS research topic you are interested in.
Main Supervisor (Malaysia): Dr Yuen Kam Fung, Kevin
Associate Supervisor (Malaysia): Prof. Wong Kok Sheik
Associate Supervisor (Australia): Prof. Andreas Ernst
Funding Notes
- Applicants must possess a minimum academic qualification of First Class Honours (H1) or its equivalence (H1E) recognised by Monash Malaysia.
- Scholarships are awarded on a competitive basis.
