Publikationer pr. år
Publikationer pr. år
Personlig profil
Kort præsentation
Education
PhD in Business Economics as combined graduate studies at University of Copenhagen, University of Toronto and University of California at Berkeley (graduated in 2004).
Research
Primarily Operational Research, Decision Theory, Productivity Analysis, Economics of Information Security and Decentralized Systems, Electronic Market and Mechanism Design such as Auctions.
Main research affiliations:
- CBM - Semper Arden Center for Blockchain and Electronic Markets (Semper Arden project funded by the Carlsberg Foundation, 2019-2022) >>
- BDbS - Big Data by Security (The Danish Industry Foundation, 2015-2018) >>
- MSAP - Research Center for Management Science and Production Economics (permanent network since 2009) >>
Some previous projects: CFEM - Center for Research in the Foundations of Electronic Markets (The Danish Research Council for Strategic Research, 2010-2016; COBE - Confidential Benchmarking (The Danish Research Council, 2010-2013); SIMAP - Secure Information Management and Processing (The Danish Council for Strategic Research, 2006-2009); SCET - Secure Computation Economy and Trust (The Danish Council for Strategic Research, 2004-2006).
Teaching
Decision Theory, Operational Analysis, Contracts and Cooperatives, Industrial Organization and Production Economics.
CV
Ekspertise relateret til FN’s Verdensmål
I 2015 blev FN-landende enige om 17 Verdensmål til at standse fattigdom, beskytte planeten og sikre velstand for alle. Denne persons arbejde bidrager til følgende verdensmål:
Fingeraftryk
Dyk ned i forskningsemnerne, hvor Kurt Nielsen er aktive. Disse emneetiketter kommer fra dennes persons arbejder. Sammen danner de et unikt fingerprint.
- 6 Lignende profiler
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Benchmarking with uncertain data: a simulation study comparing alternative methods
Hougaard, J. L., Kerstens, P. J. T. & Nielsen, K., sep. 2019, Department of Food and Resource Economics, University of Copenhagen, 27 s. (IFRO Working Paper; Nr. 2019/05).Publikation: Working paper › Forskning
1 Downloads (Pure) -
Big Data and Sensitive Data
Nielsen, K., 2019, Big Data for the Greater Good. Emrouznejad, A. & Charles, V. (red.). Springer, s. 183-204 22 s. (Studies in Big Data, Bind 42).Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › peer review
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From Keys to Databases: Real-World Applications of Secure Multi-Party Computation
Archer, D. W., Bogdanov, D., Lindell, Y., Kamm, L., Nielsen, K., Pagter, J. I., Smart, N. P. & Wright, R. N., 1 dec. 2018, Cryptology ePrint Archive, 32 s. (Cryptology ePrint Archive; Nr. 2018:450).Publikation: Working paper › Forskning
31 Citationer (Scopus) -
Learning preferences and attitudes by multi-criteria overlap dominance and relevance functions
Franco de los Ríos, C., Hougaard, J. L. & Nielsen, K., jun. 2018, I: Applied Soft Computing. 67, s. 641-651 11 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Uncertainty management for classification and benchmarking of energy-use preference profiles
Franco, C., Nielsen, K. & Kerstens, P. J., 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE): Proceedings. IEEE, s. 1-8 8 s. (IEEE International Conference on Fuzzy Systems).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
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An axiomatic approach to the estimation of interval-valued preferences in multi-criteria decision modeling
Franco de los Ríos, C., Hougaard, J. L. & Nielsen, K., 30 aug. 2017. 6 s.Publikation: Konferencebidrag › Paper › Forskning › peer review
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Clustering alternatives and learning preferences based on decision attitudes and weighted overlap dominance
Franco de los Ríos, C., Hougaard, J. L. & Nielsen, K., 1 jan. 2017, Fuzzy sets, rough sets, multisets and clustering. Torra, V., Dahlbom, A. & Narukawa, Y. (red.). Springer, s. 337-347 11 s. (Studies in Computational Intelligence, Bind 671).Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › peer review
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Confidential benchmarking based on multiparty computation
Damgård, I., Damgård, K. L., Nielsen, K., Nordholt, P. S. & Toft, T., 2017, International Conference on Financial Cryptography and Data Security. Grossklags, J. & Preneel, B. (red.). Springer, s. 169-187 (Lecture notes in computer science, Bind 9603).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review