Bilde av Nordmo, Tor-Arne Schmidt
Bilde av Nordmo, Tor-Arne Schmidt
Department of Computer Science tor-arne.s.nordmo@uit.no +4777644125 Tromsø You can find me here

Tor-Arne Schmidt Nordmo



  • Bjørn Aslak, Aril Bernhard, Tor-Arne Schmidt, Dag :
    Chapter 7: Digital Evidence in Times of Manipulation and Deepfakes – A Compliant and Integrity-Preserving File System
    2025
  • Aril Bernhard, Tor-Arne Schmidt, Michael Alexander, Pål, Dag :
    Sustainable Commercial Fishery Control Using Multimedia Forensics Data from Non-trusted, Mobile Edge Nodes
    2024 DOI / ARKIV
  • Tor-Arne Schmidt, Michael, Håvard Johansen, Dag :
    Arctic HARE: A Machine Learning-Based System for Performance Analysis of Cross-Country Skiers
    2023 DOI / ARKIV
  • Tor-Arne Schmidt, Aril Bernhard, Håvard, Pål, Michael Alexander, Dag :
    Fishing Trawler Event Detection: An Important Step Towards Digitization of Sustainable Fishing
    2023 DOI / ARKIV
  • André, Erik, Tor Vikan, Vibeke Grotnes, Henrik P Sahlin, Tor-Arne Schmidt et al.:
    H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images
    Frontiers in Medicine 2022 DOI / ARKIV
  • Tor-Arne Schmidt, Aril Bernhard, Bjørn Aslak, Steven, Vajira L B, Håvard D. et al.:
    Njord: a fishing trawler dataset
    2022 DOI / ARKIV
  • Tor-Arne Schmidt, Ove, Svein Ove, Birte, Pål, Steven et al.:
    FishAI: Sustainable Commercial Fishing Challenge
    Nordic Machine Intelligence (NMI) 2022 DOI / ARKIV
  • Enrico, Tor-Arne Schmidt, Dag, Håvard D. :
    On Optimizing Transaction Fees in Bitcoin using AI: Investigation on Miners Inclusion Pattern
    ACM Transactions on Internet Technology (TOIT) 2022 DOI / ARKIV
  • Joakim Aalstad, Aril Bernhard, Tor-Arne Schmidt, Håvard D., Pål, Michael et al.:
    Áika: A Distributed Edge System for AI Inference
    Big Data and Cognitive Computing 2022 DOI / ARKIV
  • Tor-Arne Schmidt, Martine, Bjørn Aslak, Michael Alexander, Dag :
    Detection of Commercial Fishing-related Slipping Events using Multimodal Data
    2022 DOI
  • Aril Bernhard, Tor-Arne Schmidt, Håvard D., Michael Alexander, Pål, Dag :
    File system support for privacy-preserving analysis and forensics in low-bandwidth edge environments
    Information 2021 DOI / ARKIV
  • Tor-Arne Schmidt, Aril Bernhard, Håvard D., , Pål, Dag :
    Dutkat: A Multimedia System for Catching Illegal Catchers in a Privacy-Preserving Manner
    2021 DOI
  • Enrico, Tor-Arne Schmidt, Dag, Håvard D. :
    Predicting Transaction Latency with Deep Learning in Proof-of-Work Blockchains
    IEEE International Conference on Big Data and Smart Computing 07. diciembre 2019 DOI / ARKIV
  • Tor-Arne Schmidt :
    Dutkat - A Privacy-Preserving Edge-based System for Automatic Catch Documentation and Detection of Illegal Events
    UiT Norges arktiske universitet 2023
  • Tor-Arne Schmidt :
    KI-ekspert: Dette gikk galt da kommunen brukte ChatGPT
    25. septiembre 2025 DOI
  • Tor-Arne Schmidt :
    Slik gjorde de KI-feilene
    31. marzo 2025
  • Tor-Arne Schmidt :
    Åsne er ekspert på kildearbeid: - Dette hadde man ikke bestått eksamen med
    27. marzo 2025
  • Tor-Arne Schmidt :
    Utdanning og KI
    2023
  • Tor-Arne Schmidt :
    Arctic HARE: A Machine Learning-Based System for Performance Analysis of Cross-Country Skiers
    2023
  • Aril Bernhard, Tor-Arne Schmidt, Dag :
    Compliant multimedia storage and data extraction from the untrusted and privacy-sensitive edge
    2023
  • Tor-Arne Schmidt :
    Presentasjon av eget arbeid for journalister
    2023
  • Tor-Arne Schmidt :
    Maritime Internet of Things - Architecture and machine learning techniques for ship intelligent decision support systems
    2023
  • Tor-Arne Schmidt :
    Dutkat - A Privacy-Preserving Edge-based System for Automatic Catch Documentation and Detection of Illegal Events
    2023
  • Tor-Arne Schmidt :
    Introduksjon til KI
    2023
  • Håvard D., Dag, Bjørn Aslak, Tor-Arne Schmidt, Aril Bernhard, Pål et al.:
    Sustainable commercial fishing: Digital inspectors to the rescue
    2022
  • Michael Alexander, Dag, Bjørn Aslak, Tor-Arne Schmidt, Aril Bernhard, Pål et al.:
    Njord: An out-in-the-wild real world fish vessel catch analysis dataset
    2022
  • Dag, Bjørn Aslak, Tor-Arne Schmidt, Aril Bernhard, Pål, Håvard D. et al.:
    Sustainable commercial fishing: Digital inspectors to the rescue
    Arctic Frontiers : Abstracts 2022
  • Michael Alexander, Dag, Bjørn Aslak, Tor-Arne Schmidt, Aril Bernhard, Pål et al.:
    Njord: An out-in-the-wild real world fish vessel catch analysis dataset
    Arctic Frontiers : Abstracts 2022
  • Tor-Arne Schmidt, Aril Bernhard, Bjørn Aslak, Steven A., Vajira, Håvard D. et al.:
    Njord: A Fishing Trawler Dataset
    2022
  • Tor-Arne Schmidt, Aril Bernhard, Bjørn Aslak, Steven A., Vajira, Håvard D. et al.:
    Njord: A Fishing Trawler Dataset
    2022
  • Enrico, Tor-Arne Schmidt, Dag, Håvard D. :
    Predicting Transaction Latency with Deep Learning in Proof-of-Work Blockchains
    2019
  • Tor-Arne Schmidt, Robert, Dag :
    Arctic HARE - Poster
    2018

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    Research interests

    Kunstig intelligens

    Teaching

    INF-2600 Artificial Intelligence, Methods and Applications (Emneansvarlig og Foreleser)

    INF-1600 Introduction to Artificial Intelligence (Emneansvarlig og Foreleser)


    Member of research group




    Realfagbygget A142


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