Field of work

Particle physicist, doing research on data from the ATLAS experiment at CERN. Interested in the CP-properties of the Higgs boson, both in production and decay.

Focusing in particular on machine learning methods for reconstruction, for calibration, and for searches for new physics. Has also worked on machine learning for a series of other applications.

Interested in master projects?

The ATLAS group at HVL offer several cool projects in machine learning, software, and computing. Some examples of past and present master theses within the group:

  • Tau lepton classification with graph neural networks, T S Kristensen
  • Assessing model robustness and performance through noise: A case study using data from the ATLAS experiment, I Foster
  • Using graph neural networks in high energy physics data analysis, Ø Vikane
  • Specially designed random forest loss function for high energy physics, D Sprindys
  • Interpretable machine learning and feature selection in the search for dark matter, Ø J Birkeland
  • Applied machine learning on ATLAS data in search for supersymmetry, C Steinfinsbø

Future projects could be development for new machine learning methods, preferable neural networks; analysis of and improvement of robustness, interpretability and explainability of machine learning models; automating data analyses; anomaly detection, or other related topics. A research stay at CERN can be part of the project.



Courses taught

Physics, mathematics, machine learning.


Courses taught
  • ADA511, Data science and AI-prototyping, Fall 2024
  • DAT158, Machine Learning Engineering and Advanced Algorithms, Fall 2024
  • DAT191, Bachelor Thesis, Spring 2025
  • DAT255, Deep Learning Engineering, Spring 2025

Publications

  • Towards integrating of machine learning into array processing pipelines

    Andreas Köhler, Benjamin Dando, Tord Sture Stangeland, Steffen Mæland (2024)
  • Introduksjon til partikkelfysikk

    Steffen Mæland (2024)
  • Hva er KI?

    Steffen Mæland (2024)
  • Goals for HL-LHC and how to meet them

    Therese B. Sjursen, Steffen Mæland (2024)
  • Update on MDN for TES

    Therese B. Sjursen, Steffen Mæland (2024)
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