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

SC 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

VisComp 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 also engages in research-based collaborations with external companies. It aligns with DTU's overarching mission to develop and create value for society through the application of technical and natural sciences.

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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Wind turbines, Rønbjerg - Skive, Denmark. Photo by James Qualtrough 🇮🇲 on Unsplash

03 juli 2024

New power partnership to improve energy sector forecasts by 10 percent

DTU Compute is joining forces with Ørsted, DMI, ENFOR and several other partners to improve energy forecasts for solar and wind energy in the energy sector. The goal of the project Weather2X is to reduce imbalances and the costs of system services that ensure the production and consumption of green electricity in Denmark.
Visit from Nigeria - An EU Energy Diplomacy Exchange initiative. Photo Hanne Kokkegård. DTU Compute

28 juni 2024

Visit from Nigeria - An EU Energy Diplomacy Exchange initiative

In the race to reduce CO2 emissions, the world is turning to smart energy systems. DTU Compute’s research is a part of this revolution. The researchers are developing AI-driven services to optimize energy consumption. Recently, a Nigerian delegation, alongside representatives from the EU Commission, visited the department to hear more.
Eva Rotenberg. Photo: Hanne Kokkegård - DTU Compute

20 juni 2024

Sapere Aude grant from DFF: Eva Rotenberg among the new research leaders

Eva Rotenberg from the research section Algorithms, Logic and Graphs (AlgoLoG) is among the 38 younger, talented researchers who have received a DFF starting grant to research their groundbreaking ideas and address both national and international challenges. Additionally, the grant recipients will face the challenge of leading their research groups at a high international level.
Ultrasound scan. Direc

14 juni 2024

AI will be a "lane assistant" for ultrasound scans of pregnant people

After two years of collaboration, a team of researchers from DTU Compute and other Danish universities has developed an artificial intelligence capable of evaluating the quality of ultrasound scans of pregnant women, drawing insights from experienced physicians. This innovation aims to enhance the quality of scans not only within Denmark but also in developing nations.
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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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06

nov

Øresundsdagen 4

06. nov 10:00 - 17:00

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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