Some of the research at DTU Compute is carried out within centres og projects associated with the department, often with external involvement from other universities, organisations and businesses from both Denmark and the rest of the world.
QIM 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.
DDSA is a national academy that aims to lift Denmark into the global super league in data science areas such as machine learning, artificial intelligence and the Internet of Things.
CUQI 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 Pioneer Centre for Artificial Intelligence focuses on fundamental research and develops platforms, methods, and practices addressing society’s greatest challenges. Dept. of Computer Science at University of Copenhagen (lead) in cooperating with Technical University of Denmark, IT University of Copenhagen, Aalborg University, and Aarhus University.
DABAI 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.
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 solutions.
DIGISEC 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.
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 bring together leading machine learning research groups in Denmark to establish a solid foundation for future data science progress in the life sciences.
The center is designed to boost research and education within the field of big data.
DTU’s IoT Research Hub is part of the Nordic University Hub on Industrial IoT, which is funded by NordForsk during 2018-2024.
(Hanseatic Life Science Research Infrastructure Consortium) is a cross-border initiative aimed at enhancing innovation capacity in the life sciences sector. HALRIC facilitates collaboration between academia, hospitals, SMEs, and larger biotech and pharmaceutical companies by providing access to advanced research infrastructures such as MAX IV, ESS, DESY, and the European XFEL. The project supports pilot projects that leverage these facilities to accelerate research and development.
InnoTech Task Force InnoTech Task Force enables municipalities, businesses, and knowledge institutions to collaborate on concrete and scalable data projects that can support the development and operation of urban areas. The project is co-funded by the EU Interreg Öresund-Kattegat-Skagerrak programme.