Food AI and Engineering Lab

Investigating source-specific variations in hyperspectral signatures of Salmonella Infantis
G Kuehnle, M Papa, M Milicevic, B Park, and J Yi
Conference: IAFP 2025, Undergraduate Student Award 1st Place [ Abstract | Poster ]
Conference: UURAF 2025 [ Abstract ]
Journal: Manuscript in preparation
Support: USDA ARS

Rapid Salmonella serovar classification using AI-enabled hyperspectral microscopy with different data preprocessing approaches
M Papa, S Bhattacharya, B Park, J Yi
Conference: IAFP 2025, Developing Scientist Award 1st Place [ Abstract ]
Journal: Foods (2025) [ Preprints | Publisher page ]
Support: USDA ARS

AI-enabled imaging for pathogen detection under stress conditions: A systematic review
M Papa, G Kuehnle, Y Oh, and J Yi
Conference: IAFP 2025 [ Abstract | Poster ]
Journal: Pre-registered at PROSPERO, Manuscript under review
Support: MSU Research Foundation Tetrad Award

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
Conference: GLEXPO 2024
Conference: ASABE AIM 2024 [ Abstract | Poster ]
Journal: Journal of Food Protection (2025) [ Publisher page ]
Support: MSU Research Foundation Tetrad Award, MSU Startup

Integrated Hyperspectral Microscope Imaging and AI Platform for Simultaneous Detection and Identification of Salmonella Serovars in Food Systems
MSU Rackham Research Endowment Grant Program

Advancing Global Food Safety in a Changing Climate: Integrating Microbiome Insights, Artificial Intelligence, and Health Communication
MSU Research Foundation Tetrad Award [ Project page ]

Generative model for enhancing biological feature information in microscopy
S Sinha, J Harper, and J Yi
Journal: arXiv preprint in preparation
Support: MSU Startup

Out-of-distribution generalization of bacterial detection with uncertainty-aware multimodal fusion
T Shin, B Park, and J Yi
Journal: Manuscript under review
Support: 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, and J Yi
Conference: IAFP 2025 [ Abstract ]
Conference: UURAF 2025 [ Abstract ]
Journal: Frontiers in AI (2025) [ arXiv preprint | Publisher page ]
Support: MSU Startup, USDA NIFA, USDA/NSF AI Institute for Food Systems (AIFS)

Fluorescence marker prediction for non-invasive optical imaging in bovine satellite cells using deep learning
S Sinha, A Wasit, WS Kim, J Kim, and J Yi
Journal: Frontiers in AI (2025) [ arXiv preprint | Publisher page ]
Support: MSU Startup

Rapid and data-efficient classification of Salmonella serovars using augmentation and deep learning on hyperspectral microscope images
A Wasit, B Park, and J Yi
Conference: IAFP 2024 [ Abstract | Poster ]
Support: USDA ARS, MSU Startup

AI-enabled detection of Salmonella serotypes using hyperspectral microscope images
A Wasit and J Yi
Conference: Mid-SURE 2023 [ Abstract | Poster ]
Support: USDA ARS, MSU Startup

Modeling oxygen dynamics during anaerobic soil disinfestation for soilborne pathogen control
A Lodd, G Bhupathiraju, Y Dong, B Phillips, M Hausbeck, and J Yi
Conference: GLEXPO 2025 [ Poster ]
Support: Project GREEEN

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
Journal: Microorganisms (2024) [ Publisher page ]
Support: MSU Startup

Incorporating AI To Improve Predictive Models for Listeria monocytogenes Growth on Foods
MSU Multistate/McIntire-Stennis Programmatic Funding Program

Integrating Field Sensor Data with Machine Learning to Model Phytophthora Dynamics and Optimize Anaerobic Soil Disinfestation
Project GREEEN [ Project page ]

Genomic and Phenotypic Predictive Modeling of Recurring E. coli Strains
Center for Produce Safety [ Project page ]

Improving soil health modeling using imputed microbiome relative abundance data
M Milicevic, A Lodd, and J Yi
Conference: Inverse Problems Symposium 2025 [ Poster ]
Journal: arXiv preprint in preparation
Support: MSU Startup