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Morten Dæhlen

Professor - Department for Informatics

Email mortend@uio.no

Mobile phone +47 90 94 46 12

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Visiting address Gaustadaléen 23B

Postal address Postboks 1080 Blindern N-0316 OSLO

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Academic Interests

I am a professor of informatics, primarily working on interdisciplinary issues related to artificial intelligence, machine learning, and knowledge representation. My academic background is in computational science, with an emphasis on numerical analysis, geometric modeling, and machine learning. Within these fields, I have been particularly interested in the modeling and representation of large datasets for machine learning and visualization purposes. In recent years, I have been especially engaged in research related to digitalization and the green transition.

Teaching

I have taught various courses on undergraduate and graduate level, mainly within mathematics (numerical methods and signal processing) and computer science (programming, digital representation and data structures). In addition, I have been involved as a lecturer in leadership development programs.

Employment history (short resymé)

Since January 2021 until September 2025 I was leader of dScience - Centre for Computational and Dat Science - at the University of Oslo. Before that I was Dean at The Faculty of Mathematics and Natural sciences for eight years(2013-2020) and Head of the Department of Informatics for eight years (2005-2012). Earlier in my career I have had director positions at SINTEF, the Research Council of Norway and Simula Research Laboratory AS.

Other appointments

I haqve since 2014 been chairman of the board for the Swedish e-Science Research Centre (SeRC).

Øvrelid, Egil; Bygstad, Bendik; Ludvigsen, Sten Runar & Dæhlen, Morten (2023). Dual Digitalization: A Framework for Digital Transformations of Higher Education. In Pinheiro, Romulo; Tømte, Cathrine Edelhard; Barman, Linda; Degn, Lise & Geschwind, Lars (Ed.), Digital Transformations in Nordic Higher Education. Palgrave Macmillan. ISSN 9783031277580. p. 53–74. doi: 10.1007/978-3-031-27758-0_3. Full text in Research Archive
Bygstad, Bendik; Øvrelid, Egil; Ludvigsen, Sten Runar & Dæhlen, Morten (2022). From dual digitalization to digital learning space: Exploring the digital transformation of higher education. Computers & Education. ISSN 0360-1315. 182. doi: 10.1016/j.compedu.2022.104463. Full text in Research Archive Show summary
Inspired by the fast digitalization during the Covid-19 crisis, we investigate a key aspect of digital transformation of higher education – the emergence of a digital learning space. In developing our analysis, we focus on two streams of digitalization in higher education; digitalization of education and digitalization of subjects. We call this dual digitalization, which has been an obstacle for digital transformation of the sector, and made it challenging to develop a shared digital space. Our research question is, how can we develop a shared digital learning space in higher education? We conducted our study at the University of Oslo, where we analyzed three phases of digitalization. We identified three underlying forces of the digital learning space. First, the alignment of digital education and digital subjects provided a technical foundation. Second, the digital learning space was enacted and harnessed by redefinition of roles between students and teachers, allowing for new and deeper learning forms. And third, the digital learning space enables universities to transcend the physical and institutional borders, and engage in interactions with the broader society.
Dyken, Christopher; Dæhlen, Morten & Sevaldrud, Thomas (2009). Simultaneous curve simplification. Journal of Geographical Systems. ISSN 1435-5930. 11(3), p. 273–289. doi: 10.1007/s10109-009-0078-8. Full text in Research Archive
Hjelle, Øyvind & Dæhlen, Morten (2005). Multilevel Least Squares Approximation of Scattered Data over Binary Triangulations. Computing and Visualization in Science. ISSN 1432-9360. 8(2), p. 83–91. Full text in Research Archive
Dæhlen, Morten; Fimland, Morten & Hjelle, Øyvind (2001). A Triangle-based Carrier for Geographical Data. In Halls, Peter (Eds.), Spatial Information and the Environment. Taylor & Francis, London. ISSN 9780415253628. p. 105–120. Full text in Research Archive Show summary
In this paper we discuss a framework for representation and maintenance of multi-resolution terrain and network data. We use a triangle-based representation of the terrain surface, and representations of curve networks (river systems, roads, railroad, etc. are integrated into the triangle-based representation. We introduce a data model for the representation and we discuss issues connected to the construction of the integrated representation of data. Several examples are provided.
Dæhlen, Morten; Lyche, Tom Johan; Morken, Knut; Schneider, Robert & Seidel, Hans-Peter (2000). Multiresolution analysis based on quadratic Hermite interpolation on triangles. Journal of Computational and Applied Mathematics. ISSN 0377-0427. 119, p. 97–114. Full text in Research Archive
Arge, Erlend; Dæhlen, Morten; Dæhlen, M. & Tveito, Aslak (1997). Data Reduction for Piecewise Linear Curves. In Tveito, Aslak & Dæhlen, Morten (Ed.), Numerical methods and software tools in industrial mathematics. Birkhäuser, Boston. ISSN 9780817639730. p. 347–364. Full text in Research Archive
Bjaalie, Jan G.; Dæhlen, Morten & Stensby, Trond Vidar (1997). Surface modelling from biomedical data. In Tveito, Aslak & Dæhlen, Morten (Ed.), Numerical methods and software tools in industrial mathematics. Birkhäuser, Boston. ISSN 9780817639730. p. 329–346. Full text in Research Archive
Arge, Erlend; Dæhlen, Morten & Tveito, Aslak (1995). Approximation of scattered data using smooth grid functions. Journal of Computational and Applied Mathematics. ISSN 0377-0427. 59, p. 191–205. Full text in Research Archive
Arge, Erlend; Dæhlen, Morten & Tveito, Aslak (1993). Box-splines; A computational study. Journal of Computational and Applied Mathematics. ISSN 0377-0427. 44, p. 303–329. Full text in Research Archive
Arge, Erlend; Dæhlen, Morten & Tveito, Aslak (1992). Box-Splines; a Computational Study. J. Comput. Appl. Math.. 44, p. 303–329. Full text in Research Archive
Hjelle, Øyvind & Dæhlen, Morten (1989). Datareduksjon av høgdekurver på digitale kart. Kart og Plan. ISSN 0047-3278. 49|(5), p. 469–471. Full text in Research Archive

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Dæhlen, Morten; Floater, Michael S.; Lyche, Tom; Merrien, Jean-Louis; Mørken, Knut Martin & Schumaker, Larry (2010). Mathematical Methods for Curves and Surfaces. Springer. ISBN 9783642116193. 465 p. Full text in Research Archive
Hjelle, Øyvind & Dæhlen, Morten (2006). Triangulations and Applications. Springer. ISBN 9783540332602. 242 p. Full text in Research Archive
Dæhlen, Morten; Mørken, Knut Martin & Schumaker, Larry (2005). Mathematical Methods for Curves and Surfaces: Tromsø 2004. Nashboro Press. ISBN 9780972848244. 386 p. Full text in Research Archive
Tveito, Aslak & Dæhlen, Morten (1997). Numerical methods and software tools in industrial mathematics. Birkhäuser, Boston. ISBN 9780817639730. -1 p. Full text in Research Archive

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Dæhlen, Morten (2026). Can Artificial Intelligence Foster Sustainable Economic Growth? - The Guild. Full text in Research Archive Show summary
Almost everything, from success at individual level to progress of nations, are measured in terms of growth – economic growth. Is it possible, as proposed by The European Green Deal, to decouple economic growth from overuse of the Earth’s resources, and can Artificial Intelligence (AI) be a catalyst for achieving this?
Dæhlen, Morten (2026). When Machines Think, the Planet Shouldn't Pay - The Guild. Full text in Research Archive Show summary
Artificial Intelligence (AI), the current driving force in society's digital transition, is a heavy, resource-intensive industry. It’s not green, but it has the potential to support society's green transition. AI is at the core of the combination of the digital and the green transition – the twin transition.
Dæhlen, Morten (2023). The Twin Transition Century: The role of digital research for a successful green transition of society? - The Guild. Full text in Research Archive Show summary
This insight paper provides directions for policymakers, research funders, and higher education institutions to navigate towards a successful twin transition.
Dæhlen, Morten; Sandve, Geir Kjetil Ferkingstad & Braa, Kristin (2023). KI-milliarden må brukes på en rettferdig grønn og digital omstilling. Full text in Research Archive
Myklebust, Mona; Dæhlen, Morten & Glette, Kyrre Harald (2012). NRK Ekko: 3D-printing. [Radio]. NRK. Full text in Research Archive
Dæhlen, Morten; Glette, Kyrre Harald & Lystad, Karina (2012). Her printer Mikkel (16) ut en dommerfløyte i 3D. [Internet]. nrk.no. Full text in Research Archive
Lystad, Karina; Jahr, Martin; Christensen, Mikkel Killingmoe; Dæhlen, Morten; Glette, Kyrre Harald & Hafting, Yngve [Show all 7 contributors for this article] (2012). Her printer Mikkel (16) ut en dommerfløyte i 3D. [Internet]. NRK.no. Full text in Research Archive Show summary
3D-printing har blitt kalt en ny industriell revolusjon. I fremtiden kan vi printe ut alt vi trenger fra en hjemmeprinter. 16 år gamle Mikkel Killingmoe Christensen har allerede begynt.
Dæhlen, Morten (2011). ICT in Medicine and Health at UiO. Full text in Research Archive
Dæhlen, Morten (2011). The (Future) Computerized Society. Full text in Research Archive
Dæhlen, Morten (2011). The computerized society. Public Service Review: European Union. ISSN 1472-3395. 21, p. 498–499. Full text in Research Archive
Horn, Geir; Hartvigsen, Gunnar; Lysne, Olav; Bratbergsengen, Kjell; Bechina, Aurilla Aurelie Arntzen & Fallmyr, Terje [Show all 8 contributors for this article] (2010). Informatikkforskning —grunnleggende for moderne samfunnsutvikling. p. 34–34. Full text in Research Archive
Dæhlen, Morten (2010). Evolutionary Infrastructures for Computing and Data Handling. Full text in Research Archive
Dæhlen, Morten (2010). The Search for the perfect balance. Full text in Research Archive Show summary
Informatics (or ICT) is the science on how data systems are constructed and used, and informatics is today the science in the realm of all sciences with the largest impact on the development of the society. With emphasis on collaboration with industrial partners and important units in public sector this presentation is about the long term research challenges within informatics. It is all about shaping the workforce of tomorrow and performing high quality basic research for sustainable development.
Dæhlen, Morten (2010). Ny næring med grønne datasentre. Full text in Research Archive
Dæhlen, Morten (2009). Nytt på nettet - Wolfram Alfa. [Radio]. Verd å vite, NRK. Full text in Research Archive
Holm, Sverre; Dæhlen, Morten & Christensen, Arnfinn (2007). Slakter NRKs DAB-vurdering. [Internet]. www.forskning.no. Full text in Research Archive
Ellefsen, Tone Lie; Mirmotahari, Omid & Dæhlen, Morten (2007). Mangler 7000 IT-nerder. [Internet]. e24! Næringsliv. Full text in Research Archive Show summary
Den fjerde IT-bølgen skyller bredt over landet, og bransjen skriker etter arbeidskraft. Men ipodgenerasjonen er bare interessert i å bruke, og ikke i å lage IT-løsninger.
Dæhlen, Morten & Lysne, Olav (2003). Internett og trafikkork. [TV]. NRK. Full text in Research Archive
Fimland, Morten & Dæhlen, Morten (2000). Hierarchical Triangulation with Network Constraints. Full text in Research Archive
Dæhlen, Morten & Fimland, Morten (1999). Constructing Hierarchical Terrain Models by Edge Ordering over Triangulations. Full text in Research Archive Show summary
Based on edge ordering strategies over triangulations, we introduce a hierarchical representation for triangle-based terrain surfaces. Edge-based data reduction strategies leading to hierarchical representations of triangle-based terrain surfaces opens for a more structured integration of polygonal data, e.g. river and road networks. In this paper we present various measures for selecting edges and we show a few examples where these measures are used for building hierarchical terrain models.
Arge, Erlend; Dæhlen, Morten & Hjelle, Øyvind (1997). Mathematical software for terrain modelling. Full text in Research Archive
Arge, Erlend; Dæhlen, Morten & Tveito, Aslak (1993). A Strategy for the Approximation of Large Scattered Data Sets. Full text in Research Archive
Dæhlen, Morten; Dokken, T.; Evensen, P.; Holm, P.; Langtangen, Hans & Mo, A. [Show all 7 contributors for this article] (1992). Industriell Matematikk. Full text in Research Archive
Arge, Erlend; Dæhlen, Morten & Tveito, Aslak (1991). Computing Smooth Box Spline Approximations to Regularly Scattered Data. Full text in Research Archive
Dæhlen, Morten & Tveito, Aslak (1991). Matematikk kan brukes. Ingeniør-nytt : ukeavis for teknologi og nyskapning. ISSN 0332-611X. Full text in Research Archive
Dæhlen, Morten; Lyche, Tom; Mørken, Knut Martin & Seidel, Hans-Peter (2006). Multiresolution analysis based on quadratic Hermite interpolation Part 1: Piecewise polynomial Curves. Universitetet i Oslo. ISSN 9788273682734. Full text in Research Archive Show summary
We study two simple multiresoultion analyses and their stability in the L1-norm: Faber decomposition and C1 quadratic Hermite interpolation, both with nonuniform knot sequences. The use of the L1 norm is natural in many CAGD applications and it leads to schemes which are faster and simpler to implement than the wavelet schemes based on the L2 norm. We have chosen to discuss quadratic Hermite interpolation because (i) it is a C1 scheme with nice shape preserving properties, (ii) we have a certain sup norm stability in the wavelet spaces, (iii) there are local support bases for these spaces, (iv) the decomposition coefficients can be determined explicitly in real time, (v) it generalizes to splines over triangulations.
Dæhlen, Morten & Hjelle, Øyvind (2000). A hierarchical framework for triangle-based surface and polygonal networks. SINTEF AS. Full text in Research Archive
Dæhlen, Morten & Hjelle, Øyvind (1993). Compact representation of seismic sections. SINTEF AS. Full text in Research Archive
Steinlein, O. A.; Hjelle, Øyvind & Dæhlen, Morten (1992). Compact digital representation of seismic sections. SI. Full text in Research Archive
Holm, P. G.; Tveito, Aslak & Dæhlen, Morten (1992). Bruk av splines for kompakt og griduavhengig lagring av reservoardata. Full text in Research Archive
Dæhlen, Morten; Langtangen, Hans Petter & Tveito, Aslak (1991). Some research projects in industrial mathematics. Full text in Research Archive

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Published Sep. 3, 2025 3:53 PM - Last modified Feb. 18, 2026 10:02 AM

Projects

TRUST - The Norwegian Centre for Trustworthy AI

Research groups

Scientific Computing and Machine Learning