Collaborations

The Environmental Microbial & Food Safety Laboratory has a long and productive history of collaborative research involving stakeholders.

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Current collaborators and projects:

ARMY, UNITED STATES DEPARTMENT OF, THE, NATICK, MA

Spectral Sensing Technologies for Safety and Quality Assessment of Food, Food Contact Surfaces, and Controlled-Environment Food Production Systems

AUBURN UNIVERSITY, AUBURN, AL

Detection of Contaminants and Sanitation Inspection in Poultry Processing Environments

CHAPMAN UNIVERSITY, ORANGE

Detection and Disinfection of Enterotoxigenic Escherichia coli (ETEC) on Food Contact Surfaces

FOUNDATION OF RESEARCH AND BUSINESS, CHUNGNAM

Spectral Sensing and Instrumentation for Automated Food Integrity Assessment

MONTANA STATE UNIVERSITY, BOZEMAN

Monitoring and Managing Microbial Water Quality for Food Safety

NASA KENNEDY SPACE FLIGHT CENTER, Alachua

Multi-modal Imaging for Monitoring Plant Health and Crop Growth Remotely in Spacecraft

SAFETYSPECT, INC., GRAND FORKS, CA

Control Environment Crop Health and Safety Monitoring System Development

Integration of Multimodal UAV Sensors for Preharvest Food Safety Monitoring Applications

THE CENTER FOR PRODUCE SAFETY, WOODLAND

Assessing Romaine Lettuce “Forward Processing” for Potential Impacts on EHEC Growth, Antimicrobial Susceptibility, and Infectivity

Development of an Infrared-Functionalized Microbalance Sensor for Cyclospora Cayetanensis Detection and Differentiation

UNIVERSITY OF CALIFORNIA, DAVIS, DAVIS, CA

Precision Solutions for Pathogen Carriage on Dairy Farms Using Machine Learning

UNIVERSITY OF DELAWARE, NEWARK, DE

Factors Affect the Transfer of Bacterial Pathogens to Leafy Greens from Soils

Factors Affect the Transfer of Bacterial Pathogens to Leafy Greens from Soils

Factors Affecting the Transfer of Bacterial and Viral Pathogens to Produce to Protect Food Safety and Security

UNIVERSITY OF FLORIDA, GAINESVILLE, FL

Embedded AI Techniques for Compact Optical Sensing Systems for Food Safety

Multiplex Detection of Viable Pathogen - Empowering Conventional QA/QC Toolkits with Nano-Dyes and Machine Learning

Machine Learning-Enabled Novel Pathogen Detection Platform for Nondestructive Supply Chain Surveillance

Scientific Challenges and Cost-Effective Management of Risks Associated with Implementation of Produce Safety Regulations

UNIVERSITY OF GEORGIA, ATHENS, GA

Monitoring and Modeling Microbial Quality of Irrigation Water

UNIVERSITY OF MARYLAND BALTIMORE COUNTY, BALTIMORE, MD

Automated non-invasive Detection of Surface Contamination and Optimizing Surface Biofilm Removal Conditions in Large-Scale Food Processing Equipment

UNIVERSITY OF MARYLAND, COLLEGE PARK, COLLEGE PARK, MD

Assessing Romaine Lettuce Forward Processing for Potential Impacts on EHEC Growth, Antimicrobial Susceptibility, and Infectivity

Machine Intelligence Driven Design of Anti-microbial Coatings for Fresh Produce

Modeling Fate and Transport of Indicator and Pathogenic Organisms to Assess Microbial Water Quality of Irrigation Water Sources

Understand the Chemistry in Food System to Improve Toxin Detection and Food Safety

Development of AI-Machine Vision Based Automated Robotics Technologies for Microbial Food Safety and Agricultural Applications

UNIVERSITY OF NORTH DAKOTA, GRAND FORKS, ND

Detection of Contamination on Meat Products and Equipment Surfaces in Meat Processing Plants