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We develop new methods for machine learning, computational inference, and probabilistic modeling. We focus on models for learning from multiple data sources, including multi-view learning, multi-task learning, and multi-way learning, and methods combining mechanistic models and probabilistic inference.

Please see the home page of the group at the University of Helsinki.

The Mobile Computing Group investigates different aspects of wireless and mobile communications. The group has a strong focus on mobile middleware and service platforms.Recent research of the group pertains to mobile cloud computing, data and computation offloading, and energy modeling and optimization. The group was founded by the late Professor Kimmo Raatikainen.

The Distributed Applications group studies middleware, network services, and other enabling software infrastructures for new Internet applications. We believe that meaningful evaluation of underlying technologies requires building engineering prototypes of applications based on those technologies.