Under review

  • Machine learning models to classify Shiitake mushrooms (Lentinula edodes) according to their geographical origin labelling (INVESTIGO).
  • Phycotoxins, Food Risks and Machine Learning Models for Predicting Harmful Algae Blooms in EU waters.


Close to submit

  • Oil extraction modelling from Jatropha curcas L. in ethanol medium (Thesis).
  • Artificial neural network applications and challenges in the food industry.

In progress

  • Identification of pistachios varieties, based on the fatty acid footprint, using machine learning (INVESTIGO).
  • Machine learning for oil extraction from bitter gourd seeds (INVESTIGO)
  • Machine learning techniques application to model quality parameters of chicken breast and liver under to heat treatment (TFG).
  • Seed morphology for taxonomic classification by artificial intelligence algorithms (Postdoctoral stay).
  • Machine learning models based on Quantitative Structure−Activity Relationship to predict ready biodegradability of chemicals (TFG).
  • Oil extraction model for Azadirachta indica A. juss in different solvents (Thesis).
  • Machine learning to forecast airborne Parietaria pollen in the Atlantic Spanish regions (Thesis).




2020 and earlier

Citations until 2022