Teaching

Co-/guest/substitute lecturer in:

  • Machine learning (2023-2024)
  • Computer vision (2024)
  • One variable calculus (2024)

Teaching assistant in:

  • Calculus in one variable
  • Calculus in several variables
  • Linear algebra.
  • Matlab introduction
  • scientific programming in Matlab.
  • Mathematical modelling
  • Project course in applied mathematics.
  • Image analysis
  • Medical image analysis
  • Computer vision
  • Machine learning.

PhD Student Supervision:

Co-supervisor

  • David Gillsjö (Feb 2022-Jun 2023). Thesis Applications in Monocular Computer Vision using Geometry and Learning: Map Merging, 3D Reconstruction and Detection of Geometric Primitives defended in June 2023.

Master’s thesis supervision:

Main supervisor

  • Semantic Analysis of Indoor Floor Plans for Creation of Navigation Graphs, Tim Samuelsson, 2024 (at Combain Mobile)
  • Enhancing the resolution of brain MRIs using deep learning, Malo Gicquel 2024 (collaboration with SciLifeLab, LU)
  • Scalable Gaussian Process Assisted Positioning Using Cell Fingerprinting, David Bergh 2024 (at Combain Mobile)

Co-supervisor

  • Rotation Averaging for Map Merging and Trajectory Alignment in Global Structure-from-Motion, Elina Strömberg 2025
  • Image Retrieval Re-ranking using Graph Neural Networks, Gustav Hanning 2024
  • Self-supervised representation learning from electrocardiogram data for medical applications, Matilda Andersson 2023 (at Neko Health)
  • Minimal Deformation Methods for Loop Closure, Erik Tegler 2021
  • Assessment of machine learning methods for the classification and weight estimation of meals, John-Henry Markbo 2019 (collaboration with Division of Food and Pharma, LU)
  • Detection and Localisation of Gunshots Using Sound Data, Martin Chan and Sofie Karlsson 2018 (at Axis Communications)