Under review

  • Global solar irradiation, modelling and prediction using machine learning models for their potential use in renewable energy applications.

Close to submit

  • Artificial neural networks applications and challenges in the food industry.
  • Machine learning to predict the adsorption capacity for micro-plastics.
  • Machine learning methods to model the growth and product formation by Lactococcus lactis CECT 539 in fed-batch cultures.

In progress

  • Machine learning models based on Quantitative Structure−Activity Relationship to predict ready biodegradability of chemicals.

Citations in 2022

h index





2019 and earlier

Citations until 2021