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Bilde av Håkansson, Anne
Bilde av Håkansson, Anne
Professor Department of Computer Science anne.hakansson@uit.no +4777644096 93069699 You can find me here

Anne Håkansson

Job description

Anne Håkansson is Professor in Computer Science with focus on Artificial Intelligence, at UiT – The Arctic University of Norway

Chair of the CAI Lab 

https://en.uit.no/forskning/forskningsgrupper/gruppe?p_document_id=504980

  • Mahshid N. Amiri, Anne Eva Margareta Håkansson, Odne Stokke Burheim, Jacob Joseph Lamb :
    Lithium-ion battery digitalization: Combining physics-based models and machine learning
    Renewable and Sustainable Energy Reviews 21. May 2024 ARKIV / DOI
  • Seshathiri Dhanasekaran, Anders Andersen, Randi Karlsen, Anne Håkansson, André Henriksen :
    Data Collection and Analysis Methods for Smart Nudging to Promote Physical Activity: Protocol for a Mixed Methods Study
    Studies in Health Technology and Informatics 2023 ARKIV / DOI
  • Muhammad Sulaiman, Anne Håkansson, Randi Karlsen :
    Fit-Twin: A Digital Twin of a User with Wearables and Context as Input for Health Promotion
    Biostec 2023 ARKIV / DOI
  • Yigit Can Dundar, Bernt Arild Bremdal, Anne Eva Margareta Håkansson, Randi Karlsen :
    Multi-Agent Collision Avoidance Method Using Fuzzy Risk Estimation and Information Sharing in Unknown Environments
    IEEE conference proceedings 2023 ARKIV / DATA / DOI
  • Muhammad Sulaiman, Anne Eva Margareta Håkansson, Randi Karlsen :
    A Proof-of-Concept Implementation Based on the Framework of AI-Enabled Proactive mHealth: Health Promotion with Motivation
    Springer 2023 DOI
  • Seshathiri Dhanasekaran, Anders Andersen, Randi Karlsen, Anne Håkansson, André Henriksen :
    Data collection and smart nudging to promote physical activity and a healthy lifestyle using wearable devices
    2022 ARKIV / DOI
  • Muhammad Sulaiman, Anne Håkansson, Randi Karlsen :
    A Framework for AI-enabled Proactive mHealth with Automated Decision-making for a User’s Context
    Biostec 2022 ARKIV / DOI
  • Aya Saad, Anne Håkansson :
    RAMARL: Robustness Analysis with Multi-Agent Reinforcement Learning - Robust Reasoning in Autonomous Cyber-Physical Systems
    Procedia Computer Science 2022 ARKIV / DOI
  • Anne Håkansson, Aya Saad, Akhil Sadanandan Anand, Vilde Benoni Gjærum, Haakon Robinson, Katrine Seel :
    Robust Reasoning for Autonomous Cyber-Physical Systems in Dynamic Environments
    Procedia Computer Science 2021 ARKIV / DOI
  • Akhil Sadanandan Anand, Katrine Seel, Vilde Benoni Gjærum, Anne Håkansson, Haakon Robinson, Aya Saad :
    Safe Learning for Control using Control Lyapunov Functions and Control Barrier Functions: A Review
    Procedia Computer Science 2021 ARKIV / DOI
  • Chiara Bordin, Anne Håkansson, Sambeet Mishra :
    Smart Energy and power systems modelling: an IoT and Cyber-Physical Systems perspective, in the context of Energy Informatics
    Procedia Computer Science 2020 ARKIV / DOI
  • Muhammad Sulaiman, Randi Karlsen, Anne Håkansson :
    AI-Enabled Proactive mHealth: A Review. ICT for Health, Accessibility and Wellbeing. IHAW 2021. Communications in Computer and Information Science
    Springer 2021
  • Anne Håkansson, Ronald Lee Hartung :
    ARTIFICIAL INTELLIGENCE Concepts, Areas, Techniques and Applications.
    Studentlitteratur AB 2020 FULLTEKST
  • Anne Håkansson :
    Computer Science: Women matter!
    2022 DATA
  • Muhammad Sulaiman, Anne Eva Margareta Håkansson, Randi Karlsen :
    A Proof-of-Concept Implementation Based on the Framework of AI-Enabled Proactive mHealth: Health Promotion with Motivation
    2022
  • Vilde Benoni Gjærum, Anne Håkansson, Haakon Robinson, Aya Saad, Akhil Sadanandan Anand, Katrine Seel :
    The International Robust AI Workshop
    2021
  • Anne Håkansson :
    AI in Cyber-Physical Systems – when can fully autonomous CPS in Society be achieved?
    2021 DATA
  • Anne Håkansson :
    AI in Cyber-Physical Systems: When Can Fully Autonomous CPS in Society Be Achieved?
    2021 DATA
  • Anne Håkansson :
    AI in Cyber-Physical Systems: When Can Fully Autonomous CPS in Society be Achieved?
    2021 DATA
  • Muhammad Sulaiman, Anne Håkansson, Randi Karlsen :
    AI-enabled proactive mHealth with automated decision-making
    2021
  • Anne Håkansson :
    Fastighetsägarens och fastighetsskötarens AI-vertyg
    2021 DATA
  • Seshathiri Dhanasekaran, Anders Andersen, Randi Karlsen, Anne Håkansson :
    Data Analysis Techniques for Smart Nudging
    2021 ARKIV
  • Anne Håkansson :
    AI i det smarta samhället
    2020
  • Anne Håkansson :
    AI och smarta samhällen!
    2020
  • Anne Håkansson :
    AI - den nya personalstyrkan
    2019
  • Anne Håkansson :
    AI - den nya personalstyrkan
    2019
  • Anne Håkansson :
    AI and Cyber-Physical Systems
    2019
  • Anne Håkansson :
    Women in Tech
    25. November 2019
  • Anne Håkansson :
    Artificial Intelligence Now and near future - A look in the Crystal Ball
    2019
  • Anne Håkansson :
    En titt i spåkulan: Hur kan AI användas i industrin på tio års sikt?
    2019
  • Anne Håkansson :
    AI i det smarta samhället
    2019
  • Anne Håkansson :
    Artificiell Intelligens
    2019
  • Anne Håkansson :
    Mänskliga sinnen i artificiell intelligens.
    2019
  • Anne Håkansson :
    Artificiell Intelligens (AI) och hur påverkar det oss?
    2019
  • Anne Håkansson :
    Artificiell Intelligens och affärsjuridik – hur AI kan användas för att förbättra verksamheten
    2019
  • Anne Håkansson :
    Dra nytta av Artificiell Intelligens (AI)
    2019
  • Anne Håkansson :
    ARTIFICIELL INTELLIGENS – FÖRBANNELSE ELLER VÄLSIGNELSE? 
    2018
  • Anne Håkansson :
    AI och den digitala revolutionen
    2018

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    Research interests

    Professor Anne Håkansson research lies within Computer science with the focus on Artificial Intelligence, and reasoning strategies, for different application areas, among others e-business, environmental impact assessment, and context. Especially, Håkansson has conducted research within Knowledge-based systems and Knowledge Base modelling, Reasoning, Graphic Representation, Visualisation, Visual Programming, Declarative Programming, Multi-agent systems, and Meta-agents.

    Currently Professor Håkansson conducts research within Cyber-Physcial Systems, Reasoning and Negotiation in Computer Systems, Sustainability and  Artificial Intelligence for combining senses. This includes Event-driven algorithm for searching in network, Smart cities and Smart sociteies Ontologies, and Contexts.

    Volatile Multiple Smart Systems, VoLM2s (for stationary and mobile systems, e.g. CPS, IoT): 

    • Next generation of smart systems – multiple connected systems that are only connected in some situations or for some purposes. 
    • Volatile – the situation decides the incorporated systems – data and information exchange is lost when systems are out of the communication sphere.
    • Smart everywhere: Collaborations between different systems, everywhere; Co-operations to perform complex tasks
    • Complex and situation-dependent data
    • Generalize in heterogeneous environments

    The systems are a part of the Volatile Distributed Multi Smart Network.

    Teaching

    Introduction to Artificial Intelligence

    Degree projects


    Member of research group

    Open Distributed Systems (ODS)   English content Computational Analytics and Intelligence (CAI)   English content

    Member of project

    Better Balance in Informatics (BBI)    English content Nudge Project

    CV

    Anne Håkansson is a professor of computer science with a focus on Artificial Intelligence, UiT The Arctic University of Norway. Professor Håkansson has more than 25 years of experience in the AI ​​field, giving her broad knowledge in AI areas. Her research interests lie in decision-making and strategies, and visualizing and explaining, particularly reasoning and negotiation with internal and external parts. She has worked with knowledge-based systems, KBS, meta-agents in multi-agent systems, MAS, and works with smart interactive cyber-physical systems, CPS, in transportation sector, Industry 4.0 and Smart Cities and Societies with automated smart products and services. 
    Anne Håkansson is the chair of Computational Analytics and Intelligence (CAI) research group at UiT, Tromsö. She is the author and co-author of several books, proceedings and international publications and serves in technical program committees of international top conferences IJCAI and AAAI as well as general track chair for KES international conferences. She has been a frequent speaker for Artificial Intelligence and the future and has been an ambassador for Uppsala municipality, Sweden.