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Email

claudia.gonzalez@unimelb.edu.au

Credentials


Position
Research Fellow in Digital Food Engineering
School of Agriculture, Food and Ecosystem Sciences
Education
PhD
University of Melbourne
Masters (Coursework)
University of Melbourne
Bachelors Degree (Honours)
Monterrey Institute of Technology and Higher Studies
ORCID

0000-0001-9207-9307

Dr Claudia Gonzalez Viejo Duran

Research Fellow in Digital Food Engineering
School of Agriculture, Food and Ecosystem Sciences

131 Scholarly works
5 Projects

HIGHLIGHTS

  • 2026

    Journal article

    Drivers of consumer liking in top- and bottom-fermented beers: Integrating sensometric and chemometric insights
    DOI: 10.1016/j.foodres.2026.119037
  • 2026

    Journal article

    Brewing for beyond earth: Assessing how simulated space environment alters beer perception, with AI-driven sensory prediction from E-nose data
    DOI: 10.1016/j.fufo.2026.101009
  • 2026

    Journal article

    Machine learning-based prediction of cold-pressed oil storage time using NIR and electronic-nose data
    DOI: 10.1016/j.fufo.2026.100967
  • 2026

    Journal article

    Electronic nose and machine learning for rapid, sustainable detection of avocado oil adulteration
    DOI: 10.1016/j.jafr.2026.102775
  • 2024

    Research grants (other domestic)

    Digital Technologies for Astronauts to Combat Weight-Loss and Menu Fatigue
  • 2023

    Research contracts (non-grants)

    Developing an Accurate Measure of Activity Based Caloric Expenditure and Movement Signatures in Dogs
  • 2021

    Research Contracts

    Farm Animal Identification Using AI (Deep Learning) Methods for Traceability
Claudia Gonzalez Viejo Duran

Latest Honours,
Awards and Fellowships


2022
Postdoctoral Research Fellow
2019
Digital Agriculture, Food and Wine
2019
The Vineyard of the Future
2019
Pangborn Travel Award 2019

RECENT SCHOLARLY WORKS

  • 2025

    Journal article

    Spaceward senses: examining retronasal aroma and mouthfeel perception in simulated space-microgravity environments
    DOI: 10.1038/s41538-025-00564-y
  • 2025

    Journal article

    Automated Assessment of Green Infrastructure Using E-nose, Integrated Visible-Thermal Cameras and Computer Vision Algorithms
    DOI: 10.3390/s25226812
  • 2025

    Journal article

    Impacts of Roasting Intensity and Cultivar on Date Seed Beverage Quality Traits and Volatile Compounds Using Digital Technologies
    DOI: 10.3390/foods14223902
  • 2025

    Journal article

    Vineyard proximal sensing using multispectral imaging to evaluate grape ripening and quality traits using artificial neural networks modeling
    DOI: 10.1016/j.jafr.2025.102252
  • 2025

    Journal article

    Chemometric mapping of beer styles: Integration of hordenine into the beer composition fingerprint
    DOI: 10.1016/j.foodchem.2025.143643
  • 2025

    Journal article

    Ripening Stage and Phenolic Composition Characterization of Fruit from Different Date (Phoenix dactylifera L.) Cultivars in Australia
    DOI: 10.1002/fsn3.70221

RECENT PROJECTS

  • 2022

    Research Grant

    Happiness Is in the Chemistry of Beer: Comparison of the Chemical Analysis and Its Relationship With Biometrics and Emotional Responses of Beer Consumers
  • 2020

    Research Grant

    Implementation of an Electronic Nose and AI for Pest Detection in Crops

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