Trondheim. Quantum Harmonic Analysis and Functional Data

Franz Luef, Department of Mathematical Sciences, NTNU Henry McNulty, Department of Mathematical Sciences, NTNU, and Cognite AS Industry is awash with time series data, from

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Trondheim. Quantum Machine Learning

Kurusch Ebrahimi-Fard, Department of Mathematical Sciences, NTNU  Fabian Harang, Department of Economics, Norwegian Business school, Oslo Fride Straum, Department of Mathematical Sciences, NTNU  Propelled by

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A state space model, with one process (labelled Ecology) linked to serveral data sets (labelked People Observing)

Trondheim. Cleaning Up Messy Data

This blog post is about ecology, statistics and real life data.

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Trondheim. A Data-driven Framework for Personalised Cancer Screening

Markus Grasmair, Department of Mathematical Sciences, NTNU  Cervical cancer is one of the most common types of cancers in women worldwide and accounts for over

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Trondheim. REMODEL a MSCA Staff Exchange programme on the Mathematics of Deep Learning with Applications

REMODEL is a Staff Exchange programme funded by the Marie Curie Actions of Horizon Europe. In his article you find information about this funding scheme and a description of the min research topics of this programme investigating the mathematics of deep learning.

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Trondheim: Secure internet voting

This blog post on secure internet voting describes cryptology research at NTNU which has had impact on electronic elections in the Church of Norway.

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Trondheim. Maritime Autonomous Sampling and Control

The vast oceans will always be under-sampled, but with the availability of satellite data and physics-based numerical ocean models one can gain nuanced insight about a variety of ocean variables.

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Trondheim. Geophysical data inversion in a probabilistic setting

Geophisical data inversion is crucial for understanding properties of the subsurface.
The vision in this projects has been to
– provide creative mathematically based solutions to recognized challenges in reservoir evaluation,
– develop methodologies for analysis of spatial and spatio-temporal phenomena.

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Dynamical systems-based neural networks with increased robustness

Davide Murari is a PhD student at the Norwegian University of Science and Technology, in the group of Differential equations and Numerical Analysis (DNA). Ferdia

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Call for Papers

19th Conference on Computer Science and Intelligence Systems (FedCSIS 2024)Belgrade, Serbia, 8–11 September, 2024 (on-site)IEEE #61123; SCOPUS; Web of Science http://www.fedcsis.org Submission deadline: May 14,

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