Welcome to the website of the Data and AI cluster. Here you can learn more about who we are and what we do.

For information on us and our research, click Team. If you are interested in graduating within our cluster, find open projects under Master projects. You can also get inspired by currently running or even finished projects. If you want to connect to cluster members for an internship, click Internships.

Research groups

Mykola Pechenizkiy
Data Mining group

The data mining (DM) group studies data mining techniques and knowledge discovery approaches that are at the core of data science. The group is known for its contributions to the areas of predictive analytics, automation of machine learning and networked science, subgroup discovery and exceptional model mining, and similarity computations on complex data. Its research is inspired by theoretical computer science, systems development and real-world applications of (big) data-driven discovery in healthcare, banking, energy, retail, telecom, and education among others.

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George Fletcher
Database group

The database (DB) group investigates data management and data-intensive systems, inspired by real-world application and analytics scenarios in close cooperation with public sector and industrial research partners. Expertise within the group includes query language design and foundations, query optimization and evaluation, data analytics, and data integration.

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Cassio de Campos
Uncertainty in AI group

The UAI research group at TU/e explores uncertainty in AI and machine learning from multiple angles on principles of AI, theories of representation, probabilistic AI models, algorithms for learning, reasoning and decision making. There is also an important focus on approaches that are not only accurate but efficient, interpretative, robust and trustworthy.

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