Department of Applied Mathematics and Computer Science

DTU Compute

DTU Compute is an internationally unique academic environment spanning the scientific disciplines of mathematics, statistics, computer science, and engineering. We offer education ranging from the bachelor's level to PhDs and support continuing education, all rooted in these scientific disciplines. We also collaborate with other universities, external organisations, and companies in both Denmark and abroad.

About

Research at DTU Compute

DTU Compute consists of ten pure research sections, each with its own focus, all engaging in cross-disciplinary research. These sections conduct research at the intersection of mathematics, statistics, and computer science. Additionally, two sections focus on research-based innovation and collaboration with external partners, businesses, and organisations. Research also occurs at several separate research centres affiliated with one or more sections.

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Section

Algorithms, Logic and Graphs

The AlgoLoG section comprises leading researchers dedicated to research in the fields of Theoretical Computer Science and Discrete Mathematics — from AI and machine learning to algorithms.

Section

Cognitive Systems

CogSys researches how humans and machines interact, and how advanced data analysis can impact our quality of life — from the internet that reads minds to hearing aids that listen to our voices.

Section

Cybersecurity Engineering

This section focuses on the methods, processes, and tools for the design, development, and analysis of secure computing systems accessible through a network like the Internet — also known as cyberspace.

Section

Dynamical Systems

DynSys performs research within mathematics of dynamical systems – from energy systems to aerodynamics – encompassing modelling, forecasting, optimization, and control in both deterministic and stochastic systems.

Section

Embedded Systems Engineering

This section conducts research across the vast spectrum of computing infrastructure, from mobile phones to cloud computing, all aimed at addressing societal challenges and driving societal progress.

Section

Mathematics

This section carries out fundamental mathematics research. We establish the mathematical knowledge base for emerging new areas in the technical sciences and explore new applications of pure mathematics.

Section

Scientific Computing

SciCom conducts research that bridges applications, mathematical modelling, theory, and the associated numerical algorithms — the science of using computers and mathematics to solve problems in science and engineering.

Section

Software Systems Engineering

Software is an essential component of digitalisation, and its role is increasingly prominent. Our digital society requires software that is reliable, built on scientific and engineering principles, and aligned with societal values and expectations.

Section

Statistics and Data Analysis

This section focuses on statistics, quantitative genomics, bioinformatics, pattern recognition, and software development. We are committed to supporting other departments at DTU and external partners in these areas.
3D printet rabbits for use in VR calibration

Section

Visual Computing

VisCom conducts research in image analysis and computer graphics, covering areas such as medical image analysis, geometry and appearance modelling, computer vision, and the analysis of 3D microstructures.

Research & collaboration

Innovation

Our Innovation section assists companies and organisations in their development through collaborations with DTU Compute. It is one of two sections dedicated to research-based, cross-disciplinary innovation collaboration.

Research & collaboration

Tech4Civ

Tech4Civ is a unique section integrating research into the delivery of activities via the Living Lab, supporting private and public organizations in the democratization of technology for a sustainable future.

Research Centres

Some of the research at DTU Compute is conducted at centres affiliated with the department. These centres often involve collaboration with external partners, including other universities, organisations, and businesses both within Denmark and internationally. Our research centres are often based on one of our research sections, but they also engage in cross-disciplinary research.

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News from DTU Compute

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UHAB-3 Concept Render. Credit: Saga Space Architects

19 November 2024

Underwater habitat opens new opportunities for research

At the deep-tech event Digital Tech Summit, SAGA Space Architects invited the audience into a remarkable underwater habitat. DTU's Provost Rasmus Larsen and Head of Department at DTU Compute Jan Madsen visited and are excited about the research prospects.

Mark Henney at Digital Tech Summit

13 November 2024

PhD Power Hour: Explain your research in five minutes

Five PhD students from five Danish universities – including Industrial PhD student Mark Henney from DTU Compute – took up the challenge and presented their research briefly to an audience in a way that should be understandable for all. It was the first time the Nordic region’s largest deep-tech fair and conference, Digital Tech Summit, tried out this format, and it will return next year.
Minister of Industry, Business and Financial Affairs in Denmark, Morten Bødskov also visited the booth for the Danish Chip Design environment at Digital Tech Summit. Photo: Mikal Schlosser

04 November 2024

Denmark needs a national long-term strategy for chip design

In Denmark, there is an ongoing discussion about how the country can contribute to the future of chip production in Europe. At Digital Tech Summit, universities and industry discussed the issue and received some advice from Meta: Go for the white space instead of the red ocean. The discussion highlighted the need for a vision to better steer the direction of the work.

28 October 2024

Universities have the potential to bring innovation back to Europe

Over the past ten years, all Danish universities have invested massively in building world-class environments for knowledge-based entrepreneurship and accelerating the introduction of research into society. This commitment is essential as Europe faces significant challenges in closing the innovation gap between the EU and USA and China.
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EDUCATION

DTU Compute's teaching is rooted in the core research areas of the department: mathematics, statistics, computer science, and engineering. We offer a wide range of educational programmes, from Bachelor of Science, Bachelor of Engineering, and Master of Science degrees to PhDs and continuing education for professionals looking to upgrade their skill sets.

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Calendar

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20

nov

19

nov

Upcoming Talk in CogSys: Casper Sønderby from twig.energy

20. nov 14:00 - 19. nov

27

nov

Defence by PhD student Jasper Marijn Everink

27. nov 13:00 - 16:00 | “Uncertainty Quantification for Inverse Problems with Sparsity-Promoting Implicit Priors”

02

dec

Defence by PhD student Yevgen Zainchkovskyy

02. dec 13:00 - 16:00 | “Probabilistic Generative Models for Automatic Guided Drug Discovery”
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Innovation partnerships

Collaborate with DTU Compute

If your company or organisation needs development or wants to access specialised knowledge and skill sets, DTU Compute offers excellent collaboration opportunities. These range from upgrading employees with specialised skills from our digital toolbox to longer courses with far-reaching results. We even offer full-scale research collaborations and partnerships.

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