Research centres

Some of the research at DTU Compute is carried out within centers associated with the department:

  • Big Data DTU The center is designed to boost research and education within the field of big data.

  • CITIES (Centre for IT–Intelligent Energy Systems in Cities) is a research centre covering all aspects of the energy system, including gas, power, district heating/cooling and biomass, and most importantly methods to forecast, control and optimize their interactions through the use of advanced ICT (Information and Communications Technology) solutions.

  • CUQI (Computational Uncertainty Quantification for Inverse Problems). We develop the mathematical, statistical and computational framework for applying uncertainty quantification to inverse problems such as deconvolution, image deblurring, tomographic imaging, source reconstruction, and fault inspection. The goal is to create a computational platform, suited for non-experts. CUQI is a research initiative sponsored by Villum Fonden (the Villum Foundation).
  • DABAI (Danish Center for Big Data analytics driven innovation) is a partnership between computer science researchers at Copenhagen University, Aarhus University and DTU with a strong track record of research and collaboration with industry.
  • DDSA (Danish Data Science Academy) er et nyt nationalt akademi, der sigter mod at løfte Danmark ind i den globale superliga inden for datavidenskabelige områder som maskinindlæring, kunstig intelligens og tingenes internet.
  • DIGISEC (DTU Center for Digital Security) coordinates and promotes activities in the area of digital security at DTU, strengthening collaboration and facilitating synergy between the different departments and centres at DTU involved in all areas of security in the digital realm.

  • IoT Center DTU’s IoT Research Center is part of the Nordic University Hub on Industrial IoT, which is funded by NordForsk during 2018-2023.

  • LearnT DTU Research center in Learning Technology, digitalization and evidence from learning. It combines strong competences from statistics, data analysis, machine learning, and software engineering.

  • MLLS (The Center for Basic Machine Learning in Life Science) bring together leading machine learning research groups in Denmark to establish a solid foundation for future data science progress in the life sciences. MLLS was established in January 2021 with the generous support of the Novo Nordisk Foundation.

  • QIM (Center for Quantification of Imaging Data from Max IV) develops algorithms for quantitative 3D image analysis. The aim of QIM is to support the research carried out at large-scale imaging facilities, including both industrial and clinical applications.