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Year 3 Research Project
AI-Enabled Models for Food Digestion and Nutrient Delivery

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Description

The food digestion process is vital for the release of micronutrients and the breakdown of macromolecules for nutrition and health. Despite the significance of digestion processes for health, predictive models are lacking, which as a public health issue, limits innovation in food industries, and is one of the key barriers to personalization of nutrition. This project aims to address the lack of predictive models to make a difference in this space. The long-term impact will be to develop AI technologies to advance food manufacturing, including customization of nutrition, and develop digital twin models of gut and food digestion. 

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Team

Portrait of Nitin Nitin

Nitin Nitin

Principal Investigator

Portrait of Xin Liu

Xin Liu

Co Principal Investigator

Portrait of Danielle Lemay

Danielle Lemay

Collaborator

Portrait of Tarek Zohdi

Tarek Zohdi

Collaborator

Portrait of Francesco Borrelli

Francesco Borrelli

Collaborator

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Publications

A thumbnail of the journal or conference cover of Duopoly Business Competition in Cross-Silo Federated Learning
Journal Article ⏐ IEEE Trans. Netw. Sci. Eng. 2023

Duopoly Business Competition in Cross-Silo Federated Learning

Huang, Chao,Shuqi Ke,and Xin Liu
DOI: 10.1109/TNSE.2023.3297880