Dag Johansen
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
Mohsin,
Elisavet,
Dag,
Håvard
:
Survey of Lightweight Hardware-Based Hash Functions for Security in Constrained IoT Devices
IEEE Access 17. septiembre 2025 DOI
Ivan Andre Matias Do Vale,
Andreas,
Andreas,
Dag,
Svein Arne
:
Effect of match load on perceived wellness in highly trained female football players
PLOS ONE 2025 DOI
Pegah,
Sajad Amouei,
Vajira L B,
Sushant,
Saeed Shafiee,
Dag
et al.:
Comparative Analysis of Audio Feature Extraction for Real-Time Talking Portrait Synthesis
Big Data and Cognitive Computing 2025 DOI
Birk Sebastian Frostelid,
Michael Alexander,
Pål,
Dag
:
Runtime Verification for Visual Deep Learning Systems With Loss Prediction
IEEE Access 2025 DOI
Andreas Kjæreng,
Ivan Andre Matias Do Vale,
Sigurd,
João,
Morten B.,
Dag
et al.:
An analysis of training load in highly trained female football players
Enrico,
Håvard Johansen,
Dag,
Øyvind Arne Moen
:
Mining Profitability in Bitcoin: Calculations of User-Miner Equilibria and Cost of Mining
Cise,
Andreas Kjæreng,
Matthias,
Susann Dahl,
Sigurd,
Nourhan
et al.:
A large-scale multivariate soccer athlete health, performance, and position monitoring dataset
Pegah,
Syed Zohaib,
Gunn Astrid,
Martine,
Miriam S.,
Dag
et al.:
A Theoretical and Empirical Analysis of 2D and 3D Virtual Environments in Training for Child Interview Skills
Ivan Andre Matias Do Vale,
Andreas Kjæreng,
Dag,
Svein Arne
:
Analysis of peak locomotor demands in women’s football–the influence of different epoch lengths
Pegah,
Syed Zohaib,
Gunn Astrid,
Martine,
Cayetana López,
Miriam S.
et al.:
Immersive Virtual Reality in Child Skills Interview Training: A Comparison of 2D And 3D environment
2024 DOI
Birk Sebastian Frostelid,
Michael,
Pål,
Dag
:
A Robust Framework for Distributional Shift Detection Under Sample-Bias
Areeg Samir Ahmed,
Håvard,
Dag
:
QMConn: A Self-Healing Controller for Microservices Using Q-Learning and Markov Decision Processes
2024 DOI
Bjørn Aslak,
Jon Petter,
Dag
:
Developing with Compliance in Mind: Addressing Data Protection Law, Cybersecurity Regulation, and AI Regulation During Software Development
Sayed Mohammad Majidi,
Mehdi Houshmand,
Cise,
Saeed,
Tomas,
Dag
et al.:
SmartCrop-H: AI-Based Cropping of Ice Hockey Videos
Mehdi Houshmand,
Sayed Mohammad Majidi,
Cise,
Saeed,
Tomas,
Dag
et al.:
AI-Based Cropping of Soccer Videos for Different Social Media Representations
Mohsin,
Håvard Johansen,
Dag
:
Performance Evaluation of Lightweight Stream Ciphers for Real-Time Video Feed Encryption on ARM Processor
Sayed Mohammad Majidi,
Mehdi Houshmand,
Cise,
Saeed Shafiee,
Tomas,
Michael Alexander
et al.:
AI-Based Cropping of Sport Videos Using SmartCrop
Mehdi Houshmand,
Sayed Mohammad Majidi,
Cise,
Saeed Shafiee,
Tomas,
Dag
et al.:
AI-Based Cropping of Ice Hockey Videos for Different Social Media Representations
Aril Bernhard,
Tor-Arne Schmidt,
Michael Alexander,
Pål,
Dag
:
Sustainable Commercial Fishery Control Using Multimedia Forensics Data from Non-trusted, Mobile Edge Nodes
Michael Alexander,
Vajira,
Thu,
Steven Alexander,
Vibeke,
Svein Arne
et al.:
ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset
Andreas,
Susann Dahl,
Dag
:
Quantifying athlete wellness: Investigating the predictive potential of subjective wellness reports through a player monitoring system
Tor-Arne Schmidt,
Michael,
Håvard Johansen,
Dag
:
Arctic HARE: A Machine Learning-Based System for Performance Analysis of Cross-Country Skiers
Michael Alexander,
Vajira,
Ayan,
Thu,
Steven,
Vibeke
et al.:
ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset
Ivan Andre Matias Do Vale,
Andreas Kjæreng,
Sigurd,
Dag,
Svein Arne
:
The influence of age on the match-to-match variability of physical performance in women’s elite football
Bjørn Aslak,
Jon Petter,
Dag
:
Algorithms that forget: Machine unlearning and the right to erasure
Aakash,
Katja Pauline,
Dag,
Håvard Johansen
:
Capturing Nutrition Data for Sports: Challenges and Ethical Issues
Tor-Arne Schmidt,
Aril Bernhard,
Håvard,
Pål,
Michael Alexander,
Dag
:
Fishing Trawler Event Detection: An Important Step Towards Digitization of Sustainable Fishing
Bjørn Aslak,
Elisavet,
Dag,
Jon Petter
:
The third country problem under the GDPR: Enhancing protection of data transfers with technology
Bjørn Aslak,
Jon Petter,
Dag
:
Sport and Nutrition Digital Analysis: A Legal Assessment
Andreas Kjæreng,
Ivan Andre Matias Do Vale,
Sigurd,
Morten Brendsgaard Randers,
Peter,
Dag
et al.:
Position specific physical performance and running intensity fluctuations in elite women's football
Siarhei,
Nourhan,
Cise,
Matthias,
Dag,
Michael
et al.:
Exploration of Different Time Series Models for Soccer Athlete Performance Prediction †
Andreas,
Cise,
Malek,
Steven,
Dag,
Tomas
et al.:
Automatic thumbnail selection for soccer videos using machine learning
Tor-Arne Schmidt,
Aril Bernhard,
Bjørn Aslak,
Steven,
Vajira L B,
Håvard D.
et al.:
Njord: a fishing trawler dataset
Tor-Arne Schmidt,
Ove,
Svein Ove,
Birte,
Pål,
Steven
et al.:
FishAI: Sustainable Commercial Fishing Challenge
Debesh,
Ashish,
Håvard D.,
Dag,
Michael Alexander,
Pål
et al.:
Video Analytics in Elite Soccer: A Distributed Computing Perspective
Ivan Andre Matias Do Vale,
Andreas Kjæreng,
Dag,
Morten Bredsgaard Randers,
Sigurd,
Svein Arne
:
The variability of physical match demands in elite women's football
Nikhil Kumar,
Debesh,
Michael,
Håvard D.,
Dag,
Jens
et al.:
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
Mohsin,
Håvard,
Dag
:
Software Benchmarking of NIST Lightweight Hash Function Finalists on Resource-Constrained AVR Platform via ChipWhisperer
2025 DOI
Pegah,
Dag
:
Visual Realism in AI-Driven Virtual Training Environments for Child Investigative Interviews
UiT Norges arktiske universitet 01. octubre 2025
Areeg Samir Ahmed,
Håvard Johansen,
Dag
:
QMConn: A Self-Healing Controller for Microservices Using Q-Learning and Markov Decision Processes
2024
Aakash,
Katja Pauline,
Dag,
Håvard
:
Capturing Nutrition Data for Sports: Challenges and Ethical Issues
2023 ARKIV
Aril Bernhard,
Tor-Arne Schmidt,
Dag
:
Compliant multimedia storage and data extraction from the untrusted and privacy-sensitive edge
2023
Dag,
Håvard D.,
Michael
:
Muligheter og skranker for bruk av teknologi og kunstig intelligens ved forebygging av fiskerikriminalitet
2022
Bjørn Aslak,
Elisavet,
Jon Petter,
Dag
:
The Third Country Problem under the GDPR: Technology to the Rescue
2022
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
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Research interests
Johansen leder det tverrfaglige Corpore Sano senteret som driver grunnforskning i spenningsfeltet mellom grunnleggende informatikk, idrettsvitenskap, medisin, helseteknologi og ernæringsvitenskap. Han er spesielt interessert i grunnleggende programvareløsninger som muliggjør sikker og feilfri databehandling i heterogene distribuerte systemer som inkluderer fra lette "Internet of Things" enheter og mobiltelefoner, til bakenforliggende stor-skala skyløsninger.