PhD Global Excellence and Mobility Scholarship (GEMS 2027). AI-Driven Recommendation System for Therapeutic Foods Based on Body Composition
Not stated
- Funding
- Competition Funded PhD Project (Students Worldwide)
- Application deadline
- 31 January 2027
About the project
About the Project This research project integrates Artificial Intelligence, mathematical modelling, and nutritional science to build a next-generation therapeutic food recommendation system. By leveraging secondary clinical data, the project aims to optimize dietary strategies targeting malnutrition. 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