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Interdisciplinary Machine Learning Research Group

The Interdisciplinary Machine Learning Research Group (IMLRG) investigates different aspects of machine learning and data mining in theory, experiments and applications. Particular emphasis is placed on interdisciplinary projects.

Some of our research areas include:

Machine learning and data mining.
Robotics, RoboCup, control and learning.
Computational neuroscience and brain theory.
Computer vision and image processing.
Evolutionary computation, reinforcement learning, kernel machines.
Software engineering and IT-applications.

You are more than welcome to download our flyer, which offers further information. (PDF, 1.15MB )

Faculty of Engineering and the Built Environment

Interdisciplinary Machine Learning Research Group

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