Applied Artificial Intelligence
for Health, Energy & Science

We develop principled machine learning and data science methods with real-world impact in healthcare, renewable energy, and scientific systems.

About the Lab

The Applied Artificial Intelligence and Data Science (AID) Unit is part of the Maersk Mc-Kinney Moller Institute at the University of Southern Denmark.

The Applied Artificial Intelligence and Data Science (AID) Unit is part of the Maersk Mc-Kinney Moller Institute at the University of Southern Denmark and was established on 1st of January 2020 out of a working group of the former unit Embodied Systems for Robotics and Learning at the Mærsk Mc-Kinney Møller Institute. Located at the Mærsk building at the Odense campus of SDU, the section hosts the creative space for exciting research.

Our backgrounds span from pure science (including mathematics and physics) to applied disciplines (such as biostatistics, epidemiology, computer science, and engineering). This gives us a broad perspective to research new, innovative solutions in a variety of fields.

Our focus lies on the application of artificial intelligence and data science to advance research and provide data-driven solutions within the medical and energy sectors. Due to our long presence at SDU, we have established over the years strong collaborations with clinical researchers and companies, both in Denmark and abroad. Together with our collaborators, we are improving the way of handling and gaining insight from data, therefore creating knowledge and value for the society.

The section is led by Professor Esmaeil S. Nadimi.

Research Highlights

Medical AI

Medical imaging, diagnostics, uncertainty estimation, and clinical decision support.

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ML + Physics

Physics-Informed Neural Networks for Fusion and Optics.

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Responsible AI

Federated Learning, Machine Unlearning, Fairness & Bias and Robustness.

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Recent News

Contact

Maersk Mc-Kinney Moller Institute
University of Southern Denmark
Campusvej 55, 5230 Odense M
Denmark