Course coordinator
STA-2003 Time Series (Bachelor course), UiT - [Course material]Â
STA-2004 Statistical methods (Bachelor course), UiT
STA-3300 Applied Statistics 2 (Master course), UiT
STA-8300 Applied Multiple Regression and ANOVA (PhD course), UiT
062785 - Time Series Analysis (PhD course), Polytechnic of Milan
STA-3810/8810 (2023) Clustering with deep learning: recent advances (Master and PhD course), UiT
STA-3810/8810 (2020) Probabilistic forecasting with deep learning and application to energy analytics (Master and PhD course), UiT
Other
Advanced topics in Machine Learning (diffusion models and physics-informed neural nets) (Master and PhD course), UniversitĂ della Svizzera italiana
Explainability in GNNs [Link]
Diffusion models tutorial [Link]
Physics-Informed Neural Networks tutorial. [Link]
Cross-validation in Machine Learning. [Link]
Introduction to Graph Machine Learning. [Link]
Recent advances and future directions in graph neural networks. [PDF]
Learning compressed representations for multivariate time series with missing data. [PDF]
Labeled Graphs and Clustering on Unstructured Data. [PDF]
Introduction to Graph Neural Networks. [PDF]
An introduction to reservoir computing and application to time series classification. [PDF]
Introduction to Recurrent Neural Networks. [PDF]
Tutorial on Echo State Networks for time series analysis. [PDF]
Sigbjørn Valde Foss. June 2024
UiT the Arctic University of Norway, Department of Mathematics and Statistics.
Master's thesis in applied physics and mathematics.
Thesis title: "Automatic Building Structure Extraction from Aerial Photographs using Transformers". [Link]
Sofie Svenøe. June 2023
UiT the Arctic University of Norway, Department of Physics and Technology.
Master's thesis in applied physics and mathematics.
Thesis title: "Probabilistic Wind Power Forecasting with Deep Neural Sequence Models". [Link]
Leander Kirkeland. Â December 2022
UiT the Arctic University of Norway, Department of Physics and Technology.
Master's thesis in applied physics and mathematics.
Thesis title: "Machine learning approach for identification and tracking of coherent structures in turbulent fluids and plasmas". [Link]
Petter Støtvig. June 2022
UiT the Arctic University of Norway, Department of Mathematics and Statistics.
Master’s thesis in statistics.
Thesis title: "Probabilistic Wind Power and Electricity Load Forecasting with Echo State Networks". [Link]
Julie Therese Svane. June 2022
UiT the Arctic University of Norway, Department of Physics and Technology.
Master’s thesis in applied physics and mathematics.
Thesis title: "Wind power forecasting as input to day-ahead trading strategies for wind in complex terrain". [Link]
Iver Martinsen. December 2021
UiT the Arctic University of Norway, Department of Mathematics and Statistics.
Master’s thesis in statistics.
Thesis title: "Deep learning applied to fish otolith images". [Link]
Vilde Jensen. June 2021
UiT the Arctic University of Norway, Department of Physics and Technology.
Master’s thesis in applied physics and mathematics.
Thesis title: "Probabilistic Load Forecasting with Deep Conformalized Quantile Regression". [Link]
Jonas Berg Hansen (🥇 best master thesis award). June 2021
UiT the Arctic University of Norway, Department of Mathematics and Statistics.
Master’s thesis in statistics.
Thesis title: "Power Flow Optimization with Graph Neural Networks". [Link]
Changkyu Choi. January 2018
May 2018. UiT the Arctic University of Norway, Department of Physics and Technology.
Master’s thesis in applied physics and mathematics.
Thesis title: "Time Series Forecasting with Recurrent Neural Networks in Presence of Missing Data". [Link]
Tobias Olsen Foslid. January 2016
May 2017. UiT the Arctic University of Norway, Department of Mathematics and Statistics.
Master’s thesis in applied physics and mathematics.
Thesis title: "Dirichlet process cluster kernel ". [Link]
Thomas A. Haugland Johansen. January 2016
December 2016. UiT the Arctic University of Norway, Department of Physics and Technology.
Master’s thesis in applied physics and mathematics.
Thesis title: "On the improvement and acceleration of eigenvalue decomposition in spectral methods using GPUs". [Link]
Andrea Timpone. June 2015.
UniversitĂ La Sapienza, Department of Information Engineering, Electronics, and Telecommunications.
Master’s thesis in Information Engineering.
Thesis title: "Multi-agent, evolutionary-based, clustering system for data mining and knowledge discovery".
Gabriele Medeot. May 2015.
UniversitĂ La Sapienza, Department of Information Engineering, Electronics, and Telecommunications.
Master’s thesis in Information Engineering.
Thesis title: "On the application and comparison of graph matching techniques in real-world applications".
William De Vitis. June 2013.
UniversitĂ La Sapienza, Department of Information Engineering, Electronics, and Telecommunications.
Master’s thesis in Information Engineering.
Thesis title: "Classification of images represented through labeled graphs and automatic identification of the characterizing semantic features".