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| DTU Compute | |
|---|---|
| Name | DTU Compute |
| Established | 2013 |
| Type | Technical faculty |
| Parent | Technical University of Denmark |
| City | Kongens Lyngby |
| Country | Denmark |
DTU Compute DTU Compute is the faculty for electrical engineering, computer science and applied mathematics at the Technical University of Denmark. It combines research and education in areas spanning algorithms, software, cybersecurity, signal processing and computational science. The faculty interacts with national and international institutions in Europe, North America and Asia, and contributes to technological transfer and innovation.
Founded through a reorganization that merged departments from the Technical University of Denmark, the faculty evolved from the legacy of engineering education at the university and earlier institutes. Its roots trace to historic laboratories and centres associated with Scandinavian and European projects such as collaborations with Niels Bohr Institute, Aarhus University, CERN, European Space Agency, and partnerships with industry players like Siemens, Siemens AG, Ericsson, and Nokia. Over time, the faculty participated in multinational consortia including Horizon 2020, EUREKA, and bilateral programs with institutions such as Massachusetts Institute of Technology, Stanford University, University of Cambridge, and ETH Zurich. The institutional lineage also connects to Danish national research structures and prizes associated with figures like Niels Bohr, H.C. Ørsted, and collaborations influenced by awards such as the Crafoord Prize and the Nobel Prize in Physics.
The faculty is organized into departments covering disciplines such as computer science, electrical engineering, and applied mathematics. Departments interact with international bodies and research centers including European Research Council, Max Planck Society, Fraunhofer Society, and regional partners like Technical University of Munich and KTH Royal Institute of Technology. Administrative units maintain links with national funding agencies exemplified by Innovation Fund Denmark, Danish Council for Independent Research, and European instruments. Teaching and research groups collaborate with technology clusters near Copenhagen, academic networks involving University of Oxford, Imperial College London, Princeton University, and industry labs at Google, Microsoft Research, and IBM Research.
The faculty offers undergraduate, graduate, and doctoral programs aligned with Bologna frameworks and European qualifications such as those overseen by European Higher Education Area. Programs include degrees in computer science, electrical engineering, communications engineering, and computational science, with curricula informed by standards and accreditation bodies including ABET and national education authorities. Student exchange and joint degrees are arranged with universities like École Polytechnique Fédérale de Lausanne, Politecnico di Milano, Delft University of Technology, and partnerships with summer schools and programs linked to UNESCO initiatives and industry scholarships from Novo Nordisk Foundation and Villum Foundation.
Research spans artificial intelligence, machine learning, control theory, embedded systems, cybersecurity, photonics, and high-performance computing. Laboratories house instrumentation and facilities comparable to nodes in European infrastructures such as PRACE, European Grid Infrastructure, and collaborations with national centers like DeIC and supercomputing facilities at Deutsche Forschungszentrum für Künstliche Intelligenz. Research groups publish in venues such as conferences sponsored by IEEE, ACM, SIAM, and journals associated with Nature, Science, and specialist periodicals. Experimental facilities include signal processing labs, microelectronics cleanrooms, robotics suites, and testbeds used in projects with ESA missions, satellite communications initiatives, and telecommunications trials with 5G PPP participants.
The faculty maintains strategic partnerships with multinational corporations, startups, and public research organizations. Industry partners include Microsoft, Google, Apple Inc., Siemens, Bosch, Nokia, and regional technology firms. Collaborative frameworks involve technology transfer offices, incubators linked to Copenhagen Business School entrepreneurship networks, and alliances with innovation hubs such as DTU Skylab, venture capital entities, and EU industry programs including Digital Europe Programme. Joint projects have been funded by mechanisms like Horizon Europe, national research councils, and philanthropic foundations including Novo Nordisk Foundation.
Prominent individuals associated with the faculty and its predecessor departments have included researchers and engineers who moved to institutions and companies such as MIT, Stanford University, Google, Facebook, Amazon (company), Nokia Bell Labs, and Intel Corporation. Faculty members have received recognitions and fellowships from bodies like IEEE, ACM, Royal Danish Academy of Sciences and Letters, and grants from European Research Council and national academies. Connections extend to scientists awarded prizes such as the Turing Award, Fields Medal laureates as collaborators in interdisciplinary initiatives, and to entrepreneurs who founded companies listed on exchanges such as Nasdaq Copenhagen.
The faculty and its programs contribute to the Technical University of Denmark’s standings in international rankings produced by organizations like Times Higher Education, QS World University Rankings, and thematic assessments by ShanghaiRanking Consultancy. Research groups have been recipients of competitive grants from ERC Starting Grant and ERC Consolidator Grant schemes, national excellence awards, and prizes from professional societies including IEEE Communications Society and ACM SIGCOMM.