Data Science Group

The researchers in this group are focused on theoretical aspects of data science and its applications in various domains such as energy, biology, and physics.

The group focuses on Data Science, including Artificial Intelligence (AI) and Machine Learning (ML), that studies computational models of reasoning, learning, and perception for different applications such as healthcare, energy, and environment.

AI and ML explore different ways that machines can learn and make sense of the data. For learning and inference, machines analyze their previous experience (or someone else experience) to find useful patterns and similarities. This research group investigates various types of machine learning and data analysis techniques with different forms of data, including structured data, symbolic, logical, and relational representations. The group is also interested in the application of AI and ML in engineering systems, knowledge discovery, and medical sciences.

Ongoing research projects:  

  • GridEyeS - Smart Grid Eye, from Space to Sky, supported by European Spase Agency, 2019-2020
  • The Information Mining with a Span of Fuzzy and Causality Approaches, supported by UH-nett Vest,  2019
  • Computational medical imaging and machine learning – methods, infrastructure and applications, MMIV, supported by Financed by Trond Mohn Foundation (BFS), 2018-2022
  • NFR BIOTEK2021 (Digital Life Norway). Towards better computational approaches and responsible innovation strategies in early drug discovery-application to antibiotics and COPD, supported by NFR. 2019-2022.
  • NHEP (project number 255182) funding Norwegian participation in the ATLAS experiment at CERN, supported by NFR
  • Tidlig oppdagelse av dårlig etterlevelse og medisinsk forverring hos pasienter med diabetes, 2018-2019. Utvikling og testing av scoring-verktøy bygget på maskinlæring, som finner pasienter med diabetes, som har stor risiko for dårlig etterlevelse 
  • Prototyping of a Proton Computed Tomography System for Treatment Planning and Real-time Monitoring of Dose Deposition in Particle Therapy, supported by Trond Mohn Foundation (TMS), 2016 - 2020
  • Advanced applications of 14 MeV neutrons (NeA), supported by the Croatian Science Foundation, 2018 – 2022

Head of Research Group

Professor
Department of Computer science, Electrical engineering and Mathematical sciences