Research

I. AI-Enabled Imaging for Rapid Pathogen Detection

  • Investigating source-specific variations in hyperspectral signatures of Salmonella Infantis
    G Kuehnle, M Papa, M Milicevic, B Park, J Yi
    Supported by the USDA-ARS
    To be presented at IAFP 2025 – Competition Finalist

  • Rapid Salmonella serovar classification using AI-enabled hyperspectral microscopy with different data preprocessing approaches
    M Papa, S Bhattacharya, B Park, J Yi
    Supported by the USDA-ARS
    To be presented at IAFP 2025 – Competition Finalist

  • AI-enabled imaging for pathogen detection under stress conditions: A systematic review
    M Papa, G Kuehnle, Y Oh, and J Yi
    Supported by the MSU Research Foundation
    Pre-registered at PROSPERO: CRD42024547499
    To be presented at IAFP 2025

  • Out-of-distribution generalization of bacterial detection with uncertainty-aware multimodal fusion
    T Shin, B Park, J Yi
    Supported by the USDA-ARS

  • Enhancing AI microscopy for foodborne bacterial classification via adversarial domain adaptation across optical and biological variability
    S Bhattacharya, A Wasit, M Earles, N Nitin, L Ma, and J Yi
    To be presented at IAFP 2025
    https://doi.org/10.48550/arXiv.2411.19514 

  • Detection of viable but nonculturable E. coli induced by low-level antimicrobials using AI-enabled hyperspectral microscopy
    M Papa, A Wasit, J Pecora, TM Bergholz, and J Yi
    Supported by     the MSU Research Foundation
    Presented at ASABE 2024
    https://doi.org/10.1016/j.jfp.2024.100430

  • Rapid and data-efficient classification of Salmonella serovars using augmentation and deep learning on hyperspectral microscope images
    A Wasit, B Park, and J Yi
    Supported by the USDA-ARS
    Presented at IAFP 2024

II. Microbiome and Genomic Data Modeling

  • Improving soil health modeling using imputed microbiome relative abundance data
    M Milicevic and J Yi
    Presented at the Inverse Problems Symposium 2025

  • Genomic and Phenotypic Predictive Modeling of Recurring E. coli Strains
    M Milicevic, TM Bergholz and J Yi
    Supported by the Center for Produce Safety
    In collaboration with MSU FSHN, MMG, and USDA-ARS

  • Impact of biotic and abiotic factors on Listeria monocytogenes, Salmonella enterica, and Enterohemorrhagic Escherichia coli in agricultural soil extracts
    D Sharma, AL Kraft, JO Owade, M Milicevic, J Yi, and TM Bergholz
    https://doi.org/10.3390/microorganisms12071498

III. Generative AI for Cell Imaging
 

Publications

 

Google Scholar

ORCID

GitHub