Research

Active Projects I. AI-Enabled Imaging for Rapid Pathogen Detection

Rapid and Data-Efficient Classification of Salmonella Serovars Using Augmentation and Deep Learning on Hyperspectral Microscope Images

Aarham Wasit, MeiLi Papa, and Jiyoon Yi
In collaboration with USDA-ARS Quality and Safety Assessment; Supported by the USDA-ARS
To be presented at IAFP 2024
 

Detection of Viable but Non-Culturable E. coli Induced by Low-Level Antimicrobials Using AI-Enabled Hyperspectral Microscopy​

MeiLi Papa, Aarham Wasit, Justin Pecora, and Jiyoon Yi
In collaboration with MSU FSHN; Supported by the MSU Research Foundation
To be presented at ASABE 2024
 

AI-Enabled Imaging for Pathogen Detection Under Stress Conditions: A Systematic Review

MeiLi Papa, Gillian Kuehnle, and Jiyoon Yi
In collaboration with MSU Communications; Supported by the MSU Research Foundation
Registered at PROSPERO
 

Active Projects II. Generative AI for Advanced Cell Imaging

Time-Series Prediction of Pathogen Survival Using Soil Microbiome Data

Mateja Milicevic and Jiyoon Yi
In collaboration with MSU FSHN

 

Active Projects III. Genomic and Microbiome Data Modeling

Genomic and Phenotypic Predictive Modeling of Recurring E. coli Strains
Mateja Milicevic and Jiyoon Yi
In collaboration with MSU FSHN, MMG, and USDA-ARS Produce Safety and Microbiology; Supported by the Center for Produce Safety
 

AI Applications in Cell Quality Assessment for Cultivated Meat Production

Sania Sinha and Jiyoon Yi
In collaboration with MSU ANS

 

Publications

 

Google Scholar

ORCID

GitHub

Food AI and Engineering Lab

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