Stian Normann Anfinsen
Department of Physics and Technology (1013 professor) - UiT The Arctic University of Norway
NORCE Energy & Technology (Senior Research Scientist) - NORCE Norwegian Research Centre AS
Contact information
UiT Norges arktiske universitet
Telephone
+4777645173
Website
http://www.phys.uit.no/~stiann
NORCE Norwegian Research Centre AS
Other
Street address
NORCE Norwegian Research Centre Sykehusvegen 21 9019 Tromsø
Private e-mail
Collaborations
Sebastiano Serpico, University of Genoa (Italy); Gabriele Moser, University of Genoa (Italy).
Website
Personal website
About
Stian Normann Anfinsen received the cand.mag. (B.Sc.), cand.scient (M.Sc.). og Ph.D. degrees in physics from UiT The Arctic University of Norway in 1997, 2000 and 2010, respectively. Han received an M.Sc. in Communications, Control and Digital Signal Processing from the University of Strathclyde i Glasgow, UK, in 1998. He worked as a software engineer at Kongsberg Spacetec in Tromsø from 2001 to 2005. He then moved to UiT The Arctic University of Norway, Department of Physics and techology, where he became an associate professor in the Earth Observation Group in 2014, served as Head of Department in 2016/17, was one of the founders of the Machine Learning Group in 2017, and became a Professor in 2022. Since 2021 he has been a senior researcher at NORCE Norwegian Research Centre in Tromsø. His research interests include image analysis, graph theory and time series analysis using machine learning and statistical methods for applications in remote sensing and energy analytics.
Academic disciplines
Other geosciences
Other information technology
Simulation, visualisation, signal processing, image analysis
Statistics
Subjects
Image processing
Computer Vision
Energy analytics
Earth observation
Mathematical and statisctical modelling
Multimodal image analysis
Statistical signal processing
Synthetic aperture radar
Research ethics declaration
I have read and promise to adhere to the ethical guidelines of NENT
I have read and promise to adhere to the Declaration of Helsinki
Projects
Muligheter for å detektere bygg og bygningsendringer med Sentinel-1 (SENBYGG)
DEEPehr: Interpretable Deep Learning from Electronic Health Records under Learning Constraints