Athina Ropodi

Spectroscopic food adulteration detection using machine learning: Current challenges and future prospects

Deep leaning in food safety and authenticity detection: An integrative review and future prospects

An automated ranking platform for machine learning regression models for meat spoilage prediction using multi-spectral imaging and metabolic profiling

Data mining derived from food analyses using non-invasive/non-destructive analytical techniques; determination of food authenticity, quality & safety in tandem with computer science disciplines