Research centres
Some of the research at DTU Compute is carried out within centres associated with the department, often with external involvement from other universities, organisations and businesses from both Denmark and the rest of the world.
Our research centres all have external websites which can be visited below. The research centres are often located within a research section or collaborations between several centres, along with other external institutions and businesses.
QIM
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
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
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.
Pioneer Centre for AI
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
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
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
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
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
MLLS bring together leading machine learning research groups in Denmark to establish a solid foundation for future data science progress in the life sciences.
Big Data DTU
The center is designed to boost research and education within the field of big data.
Nordic University Hub
DTU’s IoT Research Hub is part of the Nordic University Hub on Industrial IoT, which is funded by NordForsk during 2018-2024.