Research in machine learning and AI

We study and design learning algorithms to analyse data and predict future needs and outcomes in complex networks and systems. Our research helps to optimise healthcare systems, transport, communications, agriculture, and industrial processes.

Research groups and labs

  • Centre for Environmental and Economic Research

    A multidisciplinary research group of ecologists, data analysts, economists and animal and plant health specialists that focuses on environmental and economic outcomes.

  • Data Science Group

    Data science combines aspects of statistics, computer science, and mathematics in order to organise, analyse, and extract knowledge from data sets.

  • Digital Agriculture, Food and Wine

    The Digital Agriculture, Food, and Wine group works on the implementation and integration of new and emerging technologies, including but not limited to artificial intelligence tools on agricultural and food applications from farm to the palate.

  • Hyperspectral and Thermal Remote Sensing Laboratory (HyperSens)

    The Hyperspectral and Thermal Remote Sensing Laboratory (HyperSens) focuses on quantitative methods for remote sensing, with main interests on vegetation stress detection, physiological condition and precision agriculture.

  • Experimental Particle Physics

    Experimental particle physics seeks to understand the universe at its most fundamental level. Our work includes the search for dark matter, collider physics, matter-antimatter asymmetry and physics beyond the Standard Model.

  • Polyzos Lab – Synthetic Organic Chemistry and Catalysis

    Our vision is to harness catalysis and advanced technologies to generate new molecular scaffolds delivered in a scalable and sustainable fashion.

More research in Technology and data

We are pioneers in a diverse range of cutting-edge fields – from quantum technologies to cybersecurity, biosecurity to space exploration and satellites, and sustainable technology to advanced materials.

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Explore other research areas

Life, the Universe and everything in between – our discoveries build an understanding of the world around us and help make it a better place.

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