Our Research Lines
Meet our research lines
Artificial Intelligence and Machine Learning
Our research focuses on the development and application of Artificial Intelligence (AI) and Machine Learning (ML) solutions to address complex challenges in food systems, environmental sciences and natural resource management. We combine advanced data analytics, predictive modelling, chemometrics and emerging sensing technologies to extract meaningful information from complex datasets. Our work spans food authenticity and traceability, hyperspectral imaging, environmental forecasting, renewable energy prediction and process optimization. By transforming data into actionable knowledge, we support innovation, sustainability and evidence-based decision-making across scientific and industrial sectors
Sustainability
We are committed to advancing sustainable solutions for the responsible use of natural resources and the development of resilient food systems. Our research explores circular bioeconomy strategies, food innovation, valorisation of agricultural and marine by-products, alternative proteins and sustainable production processes. Through an interdisciplinary approach, we integrate environmental, technological and societal perspectives to improve resource efficiency and reduce environmental impact. Our goal is to contribute to a more sustainable future by bridging scientific excellence with real-world applications that support industry, society and the environment.
Join Our Research
We welcome motivated students, researchers and collaborators who are passionate about Artificial Intelligence, Sustainability and Food Innovation. Whether you are looking for a research project, a collaboration opportunity or academic training, we encourage you to connect with us and help shape the solutions of tomorrow.