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

Håvard Dagenborg

Job description

Prof. Håvard J. Dagenborg teaches and researches computer security and privacy topics. His work in overlay networks received great acclaim in the research community, providing a completely different way of approaching the problem of Byzantine fault tolerance. Dagenborg is currently focused on secure remote execution of code using Intel SGX, reactive information-flow policies, and energy-efficient blockchains based on Byzantine consensus. Dagenborg is a hands-on, full-stack software developer. He has up-to-date expertise with modern software technologies like GO, TypeScript, iOS/Android platforms, and Docker. Prof. Dagenborg also has competence in machine learning and interdisciplinary experiences in the medical, sports, and psychology domains.

Work areas

Research infrastructure / Research data management / Mobile / Software architecture / Applications / Servers and operating services / Security / Systems design / Interfaculty research areas
  • Megumi Ochi, Håvard Dagenborg :
    Online War-crime Archives: A Call for a Universal Guideline
    Social Science Research Network (SSRN) 2025 DOI
  • Stefan Kutschera, Wolfgang Slany, Patrick Ratschiller, Sarina Gursch, Patrick Deininger, Håvard Johansen Dagenborg :
    Incidental Data: A Survey towards Awareness on Privacy-Compromising Data Incidentally Shared on Social Media
    Journal of Cybersecurity and Privacy (JCP) 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
  • 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 ARKIV / 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
  • Areeg Samir Ahmed Elgazazz, Håvard Johansen Dagenborg, Nabil El Ioini :
    Misconfiguration of Cluster and IoT Systems Recovery: Extended Experiments
    Springer 2024 ARKIV / DOI
  • Areeg Samir Ahmed Elgazazz, Håvard Dagenborg, Dag Johansen :
    QMConn: A Self-Healing Controller for Microservices Using Q-Learning and Markov Decision Processes
    IEEE (Institute of Electrical and Electronics Engineers) 2024 DOI
  • Aakash Sharma, Katja Pauline Czerwinska, Dag Johansen, Håvard Johansen Dagenborg :
    Capturing Nutrition Data for Sports: Challenges and Ethical Issues
    Springer 2023 ARKIV / DOI
  • Areeg Samir Ahmed Elgazazz, Håvard Johansen Dagenborg :
    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 Elgazazz, Håvard Dagenborg :
    A Self-Configuration Controller To Detect, Identify, and Recover Misconfiguration At IoT Edge Devices and Containerized Cluster System
    ICISSP 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
  • Stefan Kutschera, Wolfgang Slany, Patrick Ratschiller, Sarina Gursch, Håvard Dagenborg :
    MRNG: Accessing Cosmic Radiation as an Entropy Source for a Non-Deterministic Random Number Generator
    Entropy 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
  • Pietro Randine, Aakash Sharma, Gunnar Hartvigsen, Håvard D. Johansen, Eirik Årsand :
    Information and communication technology-based interventions for chronic diseases consultation: Scoping review
    International Journal of Medical Informatics 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
  • Areeg Samir Ahmed Elgazazz, Håvard D. Johansen :
    Technical Viewpoint of Challenges, Opportunities, and Future Directions of Policy Change and Information-Flow in Digital Healthcare Systems
    International Academy, Research and Industry Association (IARIA) 2022 ARKIV
  • 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
  • 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
  • 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 (TOIT) 2022 ARKIV / DOI
  • Debesh Jha, Sharib Ali, Steven Hicks, Vajira L B Thambawita, Hanna Borgli, Pia Smedsrud et al.:
    A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging
    Medical Image Analysis 2021 ARKIV / DOI
  • Aakash Sharma, Thomas Bye Nilsen, Katja Pauline Czerwinska, Daria Onitiu, Lars Brenna, Dag Johansen et al.:
    Up-to-the-Minute Privacy Policies via Gossips in Participatory Epidemiological Studies
    Frontiers in Big Data 13. May 2021 ARKIV / DOI
  • Vajira L B Thambawita, Steven Hicks, Jonas L Isaksen, Mette H. Stensen, Trine B. Haugen, Jørgen K Kanters et al.:
    DeepSynthBody: the beginning of the end for data deficiency in medicine
    IEEE conference proceedings 2021 DOI
  • Debesh Jha, Sharib Ali, Krister Emanuelsen, Steven Hicks, Vajira L B Thambawita, Enrique Garcia-Ceja et al.:
    Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy
    Springer 2021 DOI
  • Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael Riegler et al.:
    DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
    Springer Nature 2021 DOI
  • Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Michael Alexander Riegler, Dag Johansen, Håvard D. Johansen et al.:
    Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy
    IEEE (Institute of Electrical and Electronics Engineers) 2021 DOI
  • Debesh Jha, Anis Yazidi, Michael Alexander Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen :
    LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification
    Springer Nature 2021 ARKIV / DOI
  • Abhishek Srivastava, Debesh Jha, Sukalpa Chanda, Umapada Pal, Håvard D. Johansen, Dag Johansen et al.:
    MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
    IEEE Journal of Biomedical and Health Informatics 2021 ARKIV / DOI
  • Aril Bernhard Ovesen, Tor-Arne Schmidt Nordmo, Håvard D. Johansen, Michael Alexander Riegler, Pål Halvorsen, Dag Johansen :
    File system support for privacy-preserving analysis and forensics in low-bandwidth edge environments
    Information 2021 ARKIV / DOI
  • Tor-Arne Schmidt Nordmo, Aril Bernhard Ovesen, Håvard D. Johansen, Michael Alexander Riegler, Pål Halvorsen, Dag Johansen :
    Dutkat: A Multimedia System for Catching Illegal Catchers in a Privacy-Preserving Manner
    ACM Digital Library 2021 DOI
  • Areeg Samir Ahmed Elgazazz, Håvard Johansen Dagenborg, Dag Johansen :
    QMConn: A Self-Healing Controller for Microservices Using Q-Learning and Markov Decision Processes
    2024
  • Areeg Samir Ahmed Elgazazz, Håvard Johansen Dagenborg :
    A Self-Configuration and Healing Controller To Analyze Misconfigurations of Clusters and IoT Edge Devices
    2023 ARKIV
  • Håvard Johansen Dagenborg :
    Data Collection, Privacy, and Data Security 
    2023
  • Aakash Sharma, Katja Pauline Czerwinska, Dag Johansen, Håvard Dagenborg :
    Capturing Nutrition Data for Sports: Challenges and Ethical Issues
    2023 ARKIV
  • Areeg Samir Ahmed Elgazazz, Håvard Johansen Dagenborg :
    Adaptive Controller to Identify Misconfigurations and Optimize the Performance of Kubernetes Clusters and IoT Edge Devices
    2023 ARKIV
  • Areeg Samir Ahmed Elgazazz, Abdo Al-Wosabi, Mohsin Khan, Håvard Johansen Dagenborg :
    A Multi-pronged Self-adaptive Controller for Analyzing Misconfigurations for Kubernetes Clusters and IoT Edge Devices
    2023 ARKIV
  • Areeg Samir Ahmed Elgazazz, Håvard Johansen Dagenborg :
    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
  • 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
  • Aakash Sharma, Thomas Bye Nilsen, Håvard D. Johansen :
    Compliant Sharing of Sensitive Data with Dataverse and Lohpi
    2021 ARKIV
  • Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael Riegler et al.:
    DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
    2021

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