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  3. Dag Johansen
Bilde av Johansen, Dag
Bilde av Johansen, Dag
Professor Department of Computer Science dag.johansen@uit.no +4777644047 94525062 You can find me here

Dag Johansen

  • Enrico Tedeschi, Håvard Johansen Dagenborg, Dag Johansen, Øyvind Arne-Moen Nohr :
    Mining Profitability in Bitcoin: Calculations of User-Miner Equilibria and Cost of Mining
    Lecture Notes in Computer Science (LNCS) 2024 DOI
  • Mehdi Houshmand Sarkhoosh, Sayed Mohammad Majidi Dorcheh, Cise Midoglu, Saeed Shafiee Sabet, Tomas Kupka, Dag Johansen et al.:
    AI-Based Cropping of Ice Hockey Videos for Different Social Media Representations
    IEEE Access 2024 ARKIV / DOI
  • Sayed Mohammad Majidi Dorcheh, Mehdi Houshmand Sarkhoosh, Cise Midoglu, Saeed Shafiee Sabet, Tomas Kupka, Michael Alexander Riegler et al.:
    AI-Based Cropping of Sport Videos Using SmartCrop
    International Journal of Semantic Computing (IJSC) 2024 DOI
  • Mohsin Khan, Håvard Johansen Dagenborg, Dag Johansen :
    Performance Evaluation of Lightweight Stream Ciphers for Real-Time Video Feed Encryption on ARM Processor
    Future Internet 2024 ARKIV / DOI
  • Cise Midoglu, Andreas Kjæreng Winther, Matthias Boeker, Susann Dahl Pettersen, Sigurd Pedersen, Nourhan Ragab et al.:
    A large-scale multivariate soccer athlete health, performance, and position monitoring dataset
    Scientific Data 2024 ARKIV / DOI
  • Birk Sebastian Frostelid Torpmann-Hagen, Michael Riegler, Pål Halvorsen, Dag Johansen :
    A Robust Framework for Distributional Shift Detection Under Sample-Bias
    IEEE Access 2024 ARKIV / DOI
  • Ivan Andre Matias Do Vale Baptista, Andreas Kjæreng Winther, Dag Johansen, Svein Arne Pettersen :
    Analysis of peak locomotor demands in women’s football–the influence of different epoch lengths
    PLOS ONE 2024 ARKIV / DOI
  • Andreas Kjæreng Winther, Ivan Andre Matias Do Vale Baptista, Sigurd Pedersen, João Brito, Morten B. Randers, Dag Johansen et al.:
    An analysis of training load in highly trained female football players
    PLOS ONE 2024 ARKIV / DOI
  • Pegah Salehi, Syed Zohaib Hassan, Gunn Astrid Baugerud, Martine Powell, Cayetana López Cano, Miriam S. Johnson et al.:
    Immersive Virtual Reality in Child Skills Interview Training: A Comparison of 2D And 3D environment
    Association for Computing Machinery (ACM) 2024 DOI
  • Pegah Salehi, Syed Zohaib Hassan, Gunn Astrid Baugerud, Martine Powell, Miriam S. Johnson, Dag Johansen et al.:
    A Theoretical and Empirical Analysis of 2D and 3D Virtual Environments in Training for Child Interview Skills
    IEEE Access 2024 ARKIV / DOI
  • Mehdi Houshmand Sarkhoosh, Sayed Mohammad Majidi Dorcheh, Cise Midoglu, Saeed Sabet, Tomas Kupka, Dag Johansen et al.:
    AI-Based Cropping of Soccer Videos for Different Social Media Representations
    Springer 2024 DOI
  • Sayed Mohammad Majidi Dorcheh, Mehdi Houshmand Sarkhoosh, Cise Midoglu, Saeed Sabet, Tomas Kupka, Dag Johansen et al.:
    SmartCrop-H: AI-Based Cropping of Ice Hockey Videos
    Association for Computing Machinery (ACM) 2024 DOI
  • Pegah Salehi, Syes Zohaib Hassan, Gunn Astrid Baugerud, Martine Powell, Miriam Sinkerud Johnson, Dag Johansen et al.:
    A Theoretical and Empirical Analysis of 2D and 3D Virtual Environments in Training for Child Interview Skills
    IEEE Access 2024 ARKIV / DOI
  • Mehdi Houshmand Sarkhoosh, Sayed Mohammad Majidi Dorcheh, Cise Midoglu, Saeed Shafiei Sabet, Tomas Kupka, Dag Johansen et al.:
    AI-Based Cropping of Ice Hockey Videos for Different Social Media Representations
    IEEE Access 2024 ARKIV / DOI
  • Aril Bernhard Ovesen, Tor-Arne Schmidt Nordmo, Michael Alexander Riegler, Pål Halvorsen, Dag Johansen :
    Sustainable Commercial Fishery Control Using Multimedia Forensics Data from Non-trusted, Mobile Edge Nodes
    Springer 2024 DOI
  • Andreas Alexandersen, Susann Dahl Pettersen, Dag Johansen :
    Quantifying athlete wellness: Investigating the predictive potential of subjective wellness reports through a player monitoring system
    Proceedings of the Institution of Mechanical Engineers. Part P, Journal of sports engineering and technology 2023 ARKIV / DOI
  • Bjørn Aslak Juliussen, Jon Petter Rui, Dag Johansen :
    Sport and Nutrition Digital Analysis: A Legal Assessment
    Lecture Notes in Computer Science (LNCS) 29. March 2023 ARKIV / DATA / DOI
  • Bjørn Aslak Juliussen, Elisavet Kozyri, Dag Johansen, Jon Petter Rui :
    The third country problem under the GDPR: Enhancing protection of data transfers with technology
    International Data Privacy Law (IDPL) 2023 ARKIV / DOI
  • Tor-Arne Schmidt Nordmo, Aril Bernhard Ovesen, Håvard Dagenborg, Pål Halvorsen, Michael Alexander Riegler, Dag Johansen :
    Fishing Trawler Event Detection: An Important Step Towards Digitization of Sustainable Fishing
    IEEE conference proceedings 2023 ARKIV / DOI
  • Ivan Andre Matias Do Vale Baptista, Andreas Kjæreng Winther, Sigurd Pedersen, Dag Johansen, Svein Arne Pettersen :
    The influence of age on the match-to-match variability of physical performance in women’s elite football
    Frontiers in Physiology 2023 ARKIV / DOI
  • Michael Alexander Riegler, Vajira Thambawita, Thu Nguyen, Steven Alexander Hicks, Vibeke Telle-Hansen, Svein Arne Pettersen et al.:
    ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset
    Lecture Notes in Computer Science (LNCS) 2023 ARKIV / DOI
  • Bjørn Aslak Juliussen, Jon Petter Rui, Dag Johansen :
    Algorithms that forget: Machine unlearning and the right to erasure
    Computer Law and Security Review 2023 ARKIV / DOI
  • Tor-Arne Schmidt Nordmo, Michael Riegler, Håvard Johansen Dagenborg, Dag Johansen :
    Arctic HARE: A Machine Learning-Based System for Performance Analysis of Cross-Country Skiers
    Springer 2023 ARKIV / DOI
  • Michael Alexander Riegler, Vajira Thambawita, Ayan Chatterjee, Thu Nguyen, Steven Hicks, Vibeke Telle-Hansen et al.:
    ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset
    Springer 2023 ARKIV / DOI
  • Aakash Sharma, Katja Pauline Czerwinska, Dag Johansen, Håvard Johansen Dagenborg :
    Capturing Nutrition Data for Sports: Challenges and Ethical Issues
    Springer 2023 ARKIV / DOI
  • Ivan Andre Matias Do Vale Baptista, Andreas Kjæreng Winther, Dag Johansen, Morten Bredsgaard Randers Thomsen, Sigurd Pedersen, Svein Arne Pettersen :
    The variability of physical match demands in elite women's football
    Science and medicine in football 2022 ARKIV / DOI
  • Lars Brenna, Isak Sunde Singh, Håvard D. Johansen, Dag Johansen :
    TFHE-rs: A library for safe and secure remote computing using fully homomorphic encryption and trusted execution environments
    Array 2022 ARKIV / DOI
  • Nikhil Kumar Tomar, Debesh Jha, Michael Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher et al.:
    FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
    IEEE Transactions on Neural Networks and Learning Systems 2022 ARKIV / DOI
  • Enrico Tedeschi, Tor-Arne Schmidt Nordmo, Dag Johansen, Håvard D. Johansen :
    On Optimizing Transaction Fees in Bitcoin using AI: Investigation on Miners Inclusion Pattern
    ACM Transactions on Internet Technology 2022 ARKIV / DOI
  • Siarhei Kulakou, Nourhan Ragab, Cise Midoglu, Matthias Boeker, Dag Johansen, Michael Riegler et al.:
    Exploration of Different Time Series Models for Soccer Athlete Performance Prediction †
    Engineering Proceedings 2022 ARKIV / DOI
  • Andreas Husa, Cise Midoglu, Malek Hammou, Steven Hicks, Dag Johansen, Tomas Kupka et al.:
    Automatic thumbnail selection for soccer videos using machine learning
    ACM Publications 2022 ARKIV / DOI
  • Aakash Sharma, Thomas Bye Nilsen, Sivert Johansen, Dag Johansen, Håvard D. Johansen :
    Designing a Service for Compliant Sharing of Sensitive Research Data
    Lecture Notes in Computer Science (LNCS) 2022 ARKIV / DOI
  • Tor-Arne Schmidt Nordmo, Ove Kvalsvik, Svein Ove Kvalsund, Birte Hansen, Pål Halvorsen, Steven Hicks et al.:
    FishAI: Sustainable Commercial Fishing Challenge
    Nordic Machine Intelligence (NMI) 2022 ARKIV / DOI
  • Tor-Arne Schmidt Nordmo, Aril Bernhard Ovesen, Bjørn Aslak Juliussen, Steven Hicks, Vajira L B Thambawita, Håvard D. Johansen et al.:
    Njord: a fishing trawler dataset
    ACM Publications 2022 ARKIV / DOI
  • Andreas Kjæreng Winther, Ivan Andre Matias Do Vale Baptista, Sigurd Pedersen, Morten Brendsgaard Randers Thomsen, Peter Krustrup, Dag Johansen et al.:
    Position specific physical performance and running intensity fluctuations in elite women's football
    Scandinavian Journal of Medicine & Science in Sports 2022 ARKIV / DOI
  • Debesh Jha, Ashish Rauniyar, Håvard D. Johansen, Dag Johansen, Michael Alexander Riegler, Pål Halvorsen et al.:
    Video Analytics in Elite Soccer: A Distributed Computing Perspective
    Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop 2022 ARKIV / DOI
  • Joakim Aalstad Alslie, Aril Bernhard Ovesen, Tor-Arne Schmidt Nordmo, Håvard D. Johansen, Pål Halvorsen, Michael Riegler et al.:
    Áika: A Distributed Edge System for AI Inference
    Big Data and Cognitive Computing 2022 ARKIV / DOI
  • Tor-Arne Schmidt Nordmo, Martine Espeseth, Bjørn Aslak Juliussen, Michael Alexander Riegler, Dag Johansen :
    Detection of Commercial Fishing-related Slipping Events using Multimodal Data
    IEEE (Institute of Electrical and Electronics Engineers) 2022 DOI
  • Aakash Sharma, Katja Pauline Czerwinska, Dag Johansen, Håvard Dagenborg :
    Capturing Nutrition Data for Sports: Challenges and Ethical Issues
    2023 ARKIV
  • Aril Bernhard Ovesen, Tor-Arne Schmidt Nordmo, Dag Johansen :
    Compliant multimedia storage and data extraction from the untrusted and privacy-sensitive edge
    2023
  • Tor-Arne Schmidt Nordmo, Ove Kvalsvik, Svein Ove Kvalsund, Birte Hansen, Pål Halvorsen, Steven Hicks et al.:
    FishAI: Sustainable Commercial Fishing Challenge
    Nordic Machine Intelligence (NMI) 2022 DOI
  • Tor-Arne Schmidt Nordmo, Aril Bernhard Ovesen, Bjørn Aslak Juliussen, Steven A. Hicks, Vajira Thambawita, Håvard D. Johansen et al.:
    Njord: A Fishing Trawler Dataset
    2022
  • Dag Johansen, Håvard D. Johansen, Michael Riegler :
    Muligheter og skranker for bruk av teknologi og kunstig intelligens ved forebygging av fiskerikriminalitet
    2022
  • Michael Alexander Riegler, Dag Johansen, Bjørn Aslak Juliussen, Tor-Arne Schmidt Nordmo, Aril Bernhard Ovesen, Pål Halvorsen et al.:
    Njord: An out-in-the-wild real world fish vessel catch analysis dataset
    2022
  • Håvard D. Johansen, Dag Johansen, Bjørn Aslak Juliussen, Tor-Arne Schmidt Nordmo, Aril Bernhard Ovesen, Pål Halvorsen et al.:
    Sustainable commercial fishing: Digital inspectors to the rescue
    2022
  • Håvard D. Johansen, Dag Johansen, Areeg Samir Ahmed Elgazazz, Thomas Bye Nilsen, Aakash Sharma :
    Datainnsamling med personvern og datasikkerhet
    2022
  • Michael Alexander Riegler, Dag Johansen, Bjørn Aslak Juliussen, Tor-Arne Schmidt Nordmo, Aril Bernhard Ovesen, Pål Halvorsen et al.:
    Njord: An out-in-the-wild real world fish vessel catch analysis dataset
    Arctic Frontiers : Abstracts 2022
  • Dag Johansen, Bjørn Aslak Juliussen, Tor-Arne Schmidt Nordmo, Aril Bernhard Ovesen, Pål Halvorsen, Håvard D. Johansen et al.:
    Sustainable commercial fishing: Digital inspectors to the rescue
    Arctic Frontiers : Abstracts 2022
  • Tor-Arne Schmidt Nordmo, Aril Bernhard Ovesen, Bjørn Aslak Juliussen, Steven A. Hicks, Vajira Thambawita, Håvard D. Johansen et al.:
    Njord: A Fishing Trawler Dataset
    2022
  • Bjørn Aslak Juliussen, Elisavet Kozyri, Jon Petter Rui, Dag Johansen :
    The Third Country Problem under the GDPR: Technology to the Rescue
    2022

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    Research interests

    Johansen is directing the inter-disciplinary Corpore Sano Centre, a centre at the intersection of computer science, medicine, health, sport science, and nutritional science. He is particularly interested in next generation trustworthy run-times and analytics systems for hybrid and multi-cloud computing environments.


    Member of research group

    FFRC   English content Crime Control and Security Law   English content Cyber Security Group (CSG)   English content

    Member of project

    Data Analytics Privaton    English content Cyber Security Compliance and Technology Edge Computing Sports Technology Systems Support for AI