Projects

Ongoing Projects

2024 AI-based Power Production Models for Increased Wind Farm Efficiency

  • Funded by:
    • The Swedish Energy Agency.
  • People: Maria Bånkestad, Aleksis Pirinen

2023 Data Efficient Machine Learning for Earth Observation

PhD project focusing on data efficient machine learning for earth observation.

2023 Agrifood TEF

The European Testing and Experimentation Facilities for Agrifood Innovation. To foster sustainable and efficient food production AgrifoodTEF empowers innovators with validation tools needed to bridge the gap between their brightest ideas and successful market products. Built as a network of physical and digital facilities across Europe, the project provides services that help assess and validate third party AI and Robotics solutions in real-world conditions aiming to maximise impact from digitalisation of the agricultural sector. More information: www.agrifoodtef.eu.

  • People: Aleksis Pirinen

2021 AI-Based Soundscape Analysis

PhD project focusing on soundscape analysis for biodiversity monitoring.

2021 Digital Earth Sweden

Digital Earth Sweden is a Swedish hub for stakeholders working with Earth observation data. Our ambition is to make space data accessible to everyone. More information: digitalearth.se.

  • People: Aleksis Pirinen

Finished Projects

2023 Structural Causal Models for Distributional Shift in Federated Learning

More information.

  • Funded by:
    • Vinnova
  • People: Edvin Listo Zec, Olof Mogren

2023 Towards efficient computational fluid dynamics simulations with physics-informed machine learning

More information.

  • Funded by:
    • Vinnova
  • People: Maria Bånkestad, Aleksis Pirinen

2023 Active learning for ecological monitoring

More information.

  • Funded by:
    • Vinnova
  • People: John Martinsson, Aleksis Pirinen

2023 ML for cloud optical thickness estimation

The work was published in the journal Remote Sensing (2024), got accepted as an oral at the 2nd ML-for-RS Workshop at ICLR 2024, and was presented as a poster at EUMETSAT 2023. Funded by Vinnova. One of the project deliverables was a developer event (Hackathon) for university students.

2022 Machine Learning for Wetland Monitoring in Sweden

2022 Drug Influence Detection Using Computer Vision

Support in developing machine learning based solution for detecting drug influence from camera inputs.

2022 Dense Stream Flow Forecasting

In this work we propose a machine learning-based approach for predicting water flow intensities in inland watercourses based on the physical characteristics of the catchment areas, obtained from geospatial data in addition to temporal information about past rainfall quantities and temperature variations. We are the first to tackle the task of dense water flow intensity prediction; earlier works have considered predicting flow intensities at a sparse set of locations at a time.

2021 AI for Porcelain Recognition

  • Partners:
  • Funded by:
    • Riksantikvarieämbetet (RAÄ)
    • Västra Götalandsregionen (VGR)
  • People: Martin Willbo, Ebba Ekblom, Olof Mogren