Research group Data Science Research Group
The Data Science Research Group focuses on core data science research, as well as on applications where data science can provide insights for decision making. We formulate novel data science problems and develop algorithmic methods and methodological workflows.
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Illustration: Sergey Nivens/Mostphotos.
The Data Science Research Group is particularly focusing on exploiting huge amounts of data to enhance data-driven decision-making in areas such as healthcare and integrated vehicle health management. We put special emphasis on sequential and temporal data, as well as on text.
In addition, we are interested in building methods and workflows for explainable machine learning. We aim to describe the opaque machine learning models to humans, and to provide explanations and motivations for each decision of the models. Our main goal is to provide scalable and distributed solutions for maintaining good trade-offs between predictive performance and explainability.
Our methods and solutions are motivated by real-world applications and use cases. The group has particular expertise in mining and model understanding from healthcare and medical data sources. We have also established a strong expertise in predictive maintenance and integrated vehicle management. Finally, we are interested in financial data, environmental data, and data emerging from immersive technologies, such as virtual reality (VR).
