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Year 2 Research Project
Digital Twin Models Integrated AI for Food Safety Across the Supply Chain

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Description

SIGNIFICANCE

The proposed multidisciplinary project will develop a framework for an integrated smarter food safety that achieves a vertical integration of AI systems for food safety across the supply chain in order to predict and assess the food safety risk in the food product at consumption (at the end of the supply chain) based on a holistic view of the entire supply chain.

GOALS

This proposal aims to enhance resiliency of the food supply chain through integration of food-safety AI systems and data analytics across different segments of the food supply chain, characterized by different requirements for privacy guarantees.

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Team

Portrait of Renata Ivanek

Renata Ivanek

Principal Investigator

Portrait of Jayadev Acharya

Jayadev Acharya

Co Principal Investigator

Portrait of Martin Wiedmann

Martin Wiedmann

Co Principal Investigator

Portrait of Qing Zhao

Qing Zhao

Co Principal Investigator

Portrait of Tarek Zohdi

Tarek Zohdi

Collaborator

Portrait of Nitin Nitin

Nitin Nitin

Collaborator

Portrait of Aaron Smith

Aaron Smith

Collaborator

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Publications

A thumbnail of the journal or conference cover of Examining Patterns of Persistent Listeria Contamination in Packinghouses Using Agent-Based Models
Journal Article ⏐ J. Food Prot. 2022

Examining Patterns of Persistent Listeria Contamination in Packinghouses Using Agent-Based Models

DOI: 10.4315/JFP-22-119
A thumbnail of the journal or conference cover of Using agent-based modeling to compare corrective actions for Listeria contamination in produce packinghouses
Journal Article ⏐ PLoS One 2022

Using Agent-based Modeling to Compare Corrective Actions for Listeria Contamination in Produce Packinghouses

Barnett-Neefs, Cecil,Genevieve Sullivan,Claire Zoellner,Martin Wiedmann,and Renata Ivanek
DOI: 10.1371/journal.pone.0265251
A thumbnail of the journal or conference cover of A perspective on data sharing in digital food safety systems
Journal Article ⏐ Crit. Rev. Food Sci. Nutr. 2022

A Perspective on Data Sharing in Digital Food Safety Systems

DOI: 10.1080/10408398.2022.2103086