NR is a non-profit research institute that performs contract research in the following application areas and research fields:
 Kashif Habib, research fellow at NR, successfully defended his PhD thesis at the Norwegian University of Science and Technology on the 15th November 2018 and will be awarded the degree of Doctor of Philosophy. The title of his thesis is “Context-Aware Adaptive Authentication for the IoT in eHealth” and the given topic for his trial lecture was “Privacy and Safety for Mobile Devices”. |
 Early November, a new research scientist in Statistics joined Norsk Regnesentral, Sean Meling Murray. |
Latest publications
Sikorski, Krzysztof; Mehta, Adi; Inngjerdingen, Marit; Thakor, Flourina Kumar; Kling, Simon; Kalina, Tomas; Nyman, Tuula Anneli; Stensland, Maria; Zhou, Wei; De Souza, Gustavo Antonio; Holden, Lars; Stuchly, Jan; Templin, Markus; Lund-Johansen, Fridtjof. A high-throughput pipeline for validation of antibodies. Nature Methods (ISSN 1548-7091). 15(11) pp 909-912. doi: 10.1038/s41592-018-0179-8. 2018.
Teigland, André. Bridging the gap between research and industry - experiences and practical tools. Seminar, Akers Solutions Innovation Week; Tranby, 04.12.2018.
Kermit, Martin Andreas; Hamar, Jarle Bauck; Trier, Øivind Due. Towards a national infrastructure for semi-automatic mapping of cultural heritage in Norway. In: Oceans of data. Proceedings of the 44th Annual Conference on Computer Applications and Quantitative Methods in Archaeology. (ISBN 9781784917302). pp 159-172. 2018. Full-text
Bai, Aleksander; Mork, Heidi Camilla; Stray, Viktoria. How Agile Teams Regard and Practice Universal Design During Software Development. Studies in Health Technology and Informatics (ISSN 0926-9630). 256 pp 171-184. 2018.
Bai, Aleksander; Fuglerud, Kristin Skeide; Skjerve, Rannveig Alette; Halbach, Till. Categorization and Comparison of Accessibility Testing Methods for Software Development. Studies in Health Technology and Informatics (ISSN 0926-9630). 256 pp 821-831. 2018.
Bai, Aleksander; Fuglerud, Kristin Skeide. Method for Semi-Automated Evaluation of User Experience Using Brain Activity. Studies in Health Technology and Informatics (ISSN 0926-9630). 256 pp 811-820. 2018.
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