Claudia Gonzalez Viejo

About

Claudia Gonzalez Viejo is a pioneering food scientist and artificial intelligence researcher whose work sits at the intersection of machine learning, robotics, and beverage quality assessment. Best known for her transformative contributions to intelligent food systems, Gonzalez Viejo has fundamentally advanced how researchers and industry professionals evaluate product quality — replacing costly, time-consuming traditional methods with rapid, data-driven alternatives. Her most celebrated contributions include the development of RoboBEER, an innovative robotic pourer system combined with computer vision and machine learning to objectively assess beer foam, color, and sensory properties — work that has collectively garnered hundreds of citations. Her 2019 paper on artificial neural networks for beer acceptability alone has accumulated 96 citations, while her broader review of AI-based beverage quality assessment has reached 92. She has also extended these methodologies beyond brewing, applying AI to dairy farming to model how climate change and environmental factors affect milk productivity, demonstrating notable cross-disciplinary reach. Gonzalez Viejo's body of work, spanning electronic nose technology, near-infrared spectroscopy, consumer biometrics, and deep learning, has established her as a leading voice in intelligent food quality systems, offering both academia and the food industry scalable, affordable tools for the future.

Research Focus

Key Achievements

Top Papers

1. 1
   Development of Artificial Neural Network Models to Assess Beer Acceptability Based on Sensory Properties Using a Robotic Pourer: A Comparative Model Approach to Achieve an Artificial Intelligence System

   96 citations · 2019
2. 2
   Emerging Technologies Based on Artificial Intelligence to Assess the Quality and Consumer Preference of Beverages

   92 citations · 2019
3. 3
   Assessment of beer quality based on foamability and chemical composition using computer vision algorithms, near infrared spectroscopy and machine learning algorithms

   89 citations · 2017
4. 4
   Artificial Intelligence Applied to a Robotic Dairy Farm to Model Milk Productivity and Quality based on Cow Data and Daily Environmental Parameters

   82 citations · 2020
5. 5
   Robotics and computer vision techniques combined with non-invasive consumer biometrics to assess quality traits from beer foamability using machine learning: A potential for artificial intelligence applications

   66 citations · 2018
6. 6
   Bubbles, Foam Formation, Stability and Consumer Perception of Carbonated Drinks: A Review of Current, New and Emerging Technologies for Rapid Assessment and Control

   62 citations · 2019
7. 7
   Development of a robotic pourer constructed with ubiquitous materials, open hardware and sensors to assess beer foam quality using computer vision and pattern recognition algorithms: RoboBEER

   62 citations · 2016
8. 8
   Assessment of Beer Quality Based on a Robotic Pourer, Computer Vision, and Machine Learning Algorithms Using Commercial Beers

   53 citations · 2018
9. 9
   Low-Cost Methods to Assess Beer Quality Using Artificial Intelligence Involving Robotics, an Electronic Nose, and Machine Learning

   46 citations · 2020
10. 10
    Beer Aroma and Quality Traits Assessment Using Artificial Intelligence

    36 citations · 2020

Key Collaborators

Contact & Links