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  3. Håvard Dagenborg
Bilde av Dagenborg, Håvard
Bilde av Dagenborg, Håvard
Department of Computer Science havard.dagenborg@uit.no +4777646738 +47 91110987 Tromsø

Håvard Dagenborg

  • Anne, Elisavet, Håvard :
    Privacy Preserving Identity Federation: A Literature Study
    ACM Computing Surveys 01. Juli 2025 DOI
  • Mohsin, Elisavet, Dag, Håvard :
    Survey of Lightweight Hardware-Based Hash Functions for Security in Constrained IoT Devices
    IEEE Access 17. September 2025 DOI
  • Megumi, Håvard :
    Chapter 8: Online War-crime Archives: A Call for a Universal Guideline
    2025
  • Megumi, Håvard :
    Online War-crime Archives: A Call for a Universal Guideline
    Social Science Research Network (SSRN) 2025 DOI
  • Stefan, Wolfgang, Patrick, Sarina, Patrick, Håvard Johansen :
    Incidental Data: A Survey towards Awareness on Privacy-Compromising Data Incidentally Shared on Social Media
    Journal of Cybersecurity and Privacy (JCP) 2024 DOI / ARKIV
  • Enrico, Håvard Johansen, Dag, Øyvind Arne Moen :
    Mining Profitability in Bitcoin: Calculations of User-Miner Equilibria and Cost of Mining
    Lecture Notes in Computer Science (LNCS) 2024 DOI / ARKIV
  • Cise, Andreas Kjæreng, Matthias, Susann Dahl, Sigurd, Nourhan et al.:
    A large-scale multivariate soccer athlete health, performance, and position monitoring dataset
    Scientific Data 2024 DOI / ARKIV
  • Areeg Samir Ahmed, Håvard, Dag :
    QMConn: A Self-Healing Controller for Microservices Using Q-Learning and Markov Decision Processes
    2024 DOI
  • Areeg Samir Ahmed, Håvard Johansen, Nabil El :
    Misconfiguration of Cluster and IoT Systems Recovery: Extended Experiments
    2024 DOI / ARKIV
  • Mohsin, Håvard Johansen, Dag :
    Performance Evaluation of Lightweight Stream Ciphers for Real-Time Video Feed Encryption on ARM Processor
    Future Internet 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
  • Stefan, Wolfgang, Patrick, Sarina, Håvard :
    MRNG: Accessing Cosmic Radiation as an Entropy Source for a Non-Deterministic Random Number Generator
    Entropy 2023 DOI / ARKIV
  • Areeg Samir Ahmed, Håvard Johansen :
    Self-Healing Misconfiguration of Cloud-Based IoT Systems Using Markov Decision Processes
    International Conference on Cloud Computing and Services Science (CLOSER) 2023 DOI
  • Areeg Samir Ahmed, Håvard :
    A Self-Configuration Controller To Detect, Identify, and Recover Misconfiguration At IoT Edge Devices and Containerized Cluster System
    ICISSP 2023 DOI / ARKIV
  • Aakash, Katja Pauline, Dag, Håvard Johansen :
    Capturing Nutrition Data for Sports: Challenges and Ethical Issues
    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
  • 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
  • Debesh, Ashish, Håvard D., Dag, Michael Alexander, Pål et al.:
    Video Analytics in Elite Soccer: A Distributed Computing Perspective
    Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop 2022 DOI / ARKIV
  • Nikhil Kumar, Debesh, Michael, Håvard D., Dag, Jens et al.:
    FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
    IEEE Transactions on Neural Networks and Learning Systems 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
  • Pietro, Aakash, Gunnar, Håvard D., Eirik :
    Information and communication technology-based interventions for chronic diseases consultation: Scoping review
    International Journal of Medical Informatics 2022 DOI / ARKIV
  • Aakash, Thomas Bye, Sivert, Dag, Håvard D. :
    Designing a Service for Compliant Sharing of Sensitive Research Data
    Lecture Notes in Computer Science (LNCS) 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
  • Areeg Samir Ahmed, Håvard D. :
    Technical Viewpoint of Challenges, Opportunities, and Future Directions of Policy Change and Information-Flow in Digital Healthcare Systems
    2022 ARKIV
  • Lars, Isak Sunde, Håvard D., Dag :
    TFHE-rs: A library for safe and secure remote computing using fully homomorphic encryption and trusted execution environments
    Array 2022 DOI / ARKIV
  • Vajira L B, Steven, Jonas L, Mette H., Trine B., Jørgen K et al.:
    DeepSynthBody: the beginning of the end for data deficiency in medicine
    2021 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
  • Debesh, Sharib, Nikhil Kumar, Michael Alexander, Dag, Håvard D. et al.:
    Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy
    2021 DOI
  • Debesh, Pia, Dag, Thomas de, Håvard D., Pål et al.:
    A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation
    IEEE Journal of Biomedical and Health Informatics 2021 DOI / ARKIV
  • Nikhil Kumar, Debesh, Sharib, Håvard D., Dag, Michael et al.:
    DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
    2021 DOI
  • Abhishek, Debesh, Sukalpa, Umapada, Håvard D., Dag et al.:
    MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
    IEEE Journal of Biomedical and Health Informatics 2021 DOI / ARKIV
  • Mohsin, Håvard, Dag :
    Software Benchmarking of NIST Lightweight Hash Function Finalists on Resource-Constrained AVR Platform via ChipWhisperer
    2025 DOI
  • 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
  • Håvard Johansen :
    Data Collection, Privacy, and Data Security 
    2023
  • Areeg Samir Ahmed, Håvard Johansen :
    A Self-Configuration and Healing Controller To Analyze Misconfigurations of Clusters and IoT Edge Devices
    2023 ARKIV
  • Areeg Samir Ahmed, Abdo, Mohsin, Håvard Johansen :
    A Multi-pronged Self-adaptive Controller for Analyzing Misconfigurations for Kubernetes Clusters and IoT Edge Devices
    2023 DOI / ARKIV
  • Areeg Samir Ahmed, Håvard Johansen :
    Adaptive Controller to Identify Misconfigurations and Optimize the Performance of Kubernetes Clusters and IoT Edge Devices
    2023 DOI / ARKIV
  • Dag, Håvard D., Michael :
    Muligheter og skranker for bruk av teknologi og kunstig intelligens ved forebygging av fiskerikriminalitet
    2022
  • Areeg Samir Ahmed, Håvard Johansen :
    Managing Healthcare Information Flow Within Multi-Cluster System in Distributed Environment: Challenges, Opportunities and Future Directions
    International Conference on Cloud Computing and Services Science (CLOSER) 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
  • Håvard D., Dag, Areeg Samir Ahmed, Thomas Bye, Aakash :
    Datainnsamling med personvern og datasikkerhet
    2022
  • Tor-Arne Schmidt, Aril Bernhard, Bjørn Aslak, Steven A., Vajira, Håvard D. et al.:
    Njord: A Fishing Trawler Dataset
    2022
  • Aakash, Thomas Bye, Lars, Dag, Håvard D. :
    Accountable Human Subject Research Data Processing using Lohpi
    2021 ARKIV
  • Nikhil Kumar, Debesh, Sharib, Håvard D., Dag, Michael et al.:
    DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
    2021

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