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
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
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
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
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
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