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Andreas Brandsæter

Førsteamanuensis

Institutt for realfag

Utdanning

PhD, Statistikk og Data Science, Det matematisk-naturvitenskapelige fakultet, Universitetet i Oslo, 2020

Master i realfagsutdanning: matematikk, Det utdanningsvitenskapelige fakultet, Universitetet i Oslo, 2011

Undervisning

MAT110 - Grunnleggande tallære, algebra og didaktikk

MAT115 - Begynneropplæring, geometri, statistikk og sannsyn (1-7)

MAT140 - Digitale verktøy i matematikkundervisninga

MA2A - Utforsking, argumentasjon og bevis

Faglege interesser

numerisk modellering, dataanalyse, statistisk modellering, programmering i og for matematikkforståelse, pålitelig kunstig intelligens (forklarbar (XAI), robust, etc.), simulatorbasert vurdering, autonome systemer

Research

CRIStin

Scientific articles and book chapters

Programming in Mathematics Education: An Intermediary between the Real-World and the Mathematical Model
Published 2021 by Andreas Brandsæter

Assessing autonomous ship navigation using bridge simulators enhanced by cycle-consistent adversarial networks
Published 2021 by Andreas Brandsæter, Ottar Osen

Assuring Safe Implementation of Decision Support Functionality based on Data-driven Methods for Ship Navigation
Published 2020 by Andreas Brandsæter, Georg Smefjell, Koen van de Merwe, Vegard Kamsvåg

Unsupervised anomaly detection based on clustering methods and sensor data on a marine diesel engine
Published 2019 by Erik Vanem, Andreas Brandsæter

Efficient on-line anomaly detection for ship systems in operation
Published 2019 by Andreas Brandsæter, Erik Vanem, Ingrid Kristine Glad

Cluster-Based Anomaly Detection in Condition Monitoring of a Marine Engine System
Published 2018 by Erik Vanem, Andreas Brandsæter

Towards a framework for assurance of autonomous navigation systems in the maritime industry
Published 2018 by Andreas Brandsæter, Knut Erik Knutsen

Ship speed prediction based on full scale sensor measurements of shaft thrust and environmental conditions
Published 2018 by Andreas Brandsæter, Erik Vanem

Cluster Based Anomaly Detection with Applications in the Maritime Industry
Published 2017 by Andreas Brandsæter, Erik Vanem, Ingrid Kristine Glad

Regression models for the effect of environmental conditions on the efficiency of ship machinery systems
Published 2017 by Erik Vanem, Andreas Brandsæter, Odin Gramstad

An Application of Sensor-Based Anomaly Detection in the Maritime Industry
Published 2016 by Andreas Brandsæter, Gabriele Manno, Erik Vanem, Ingrid Kristine Glad

Environmental impact and cost-effectiveness of CO2 reduction measures in multimodal trade routes: road and shipping
Published 2014 by Chara A. Georgopoulou, Nikolaos M.P. Kakalis, Andreas Brandsæter, Christos Chryssakis, Magnus Strandmyr Eide

Other works

On the use of maritime training simulators with humans in the loop for understanding and evaluating algorithms for autonomous vessels
Published 2022 by Anete Vagale, Ottar Osen, Andreas Brandsæter, Marius Stian Tannum, Christian Hovden, Robin Trulssen Bye

Testing and Assessing Autonomous Ship Navigation using Bridge Simulators
Published 2021 by Andreas Brandsæter

Data-driven methods for multiple sensor streams, with applications in the maritime industry 120s.
Published 2020 by Andreas Brandsæter
Publisher: Universitetet i Oslo

Data-driven models for autonomous navigation: Challenges and suggestions
Published 2019 by Andreas Brandsæter

Statistical approaches to Anomaly Detection based on Real-Time Sensor Measurements
Published 2019 by Erik Vanem, Andreas Brandsæter

Anomaly detection in maritime data streams
Published 2017 by Martin Tveten, Andreas Brandsæter, Ingrid Kristine Glad

Optimale randbetingelser for det diskrete Laplace-problemet 119s.
Published 2011 by Andreas Brandsæter
Publisher: Universitetet i Oslo