Bilde av Kekez-Baran, Sofija
Bilde av Kekez-Baran, Sofija
Forsker Huksema, energiija ja materiálateknologiija instituhtta sofija.kekez@uit.no Narvik

Sofija Kekez-Baran



  • Janis Baronins, Andrei Shishkin, Vitalijs Lusis, Chiara Giosuè, Dmitri Goljandin, Iveta Novakova et al.:
    Effect of milling activation of dry components on properties of foamed cement mortar in a two-stage manufacturing process
    Case Studies in Construction Materials 2025 DOI
  • Sofija Kekez, Iveta Novakova, Michał Lach, Kinga Setlak, Lukáš Fiala, Jan Přikryl et al.:
    Waste valorization for fabrication of geopolymers
    Case Studies in Construction Materials 2025 DOI
  • Igor Dzolev, Sofija Kekez, Andrija Rašeta :
    Fire Resistance of Steel Beams with Intumescent Coating Exposed to Fire Using ANSYS and Machine Learning
    Buildings 2025 DOI
  • Iveta Novakova, Ashfaque Ahmed Jhatial, Sofija Kekez, Eirik Gjerløw, Volodymyr Gulik, Karunamoorthy Rengasamy Kannathasan et al.:
    Investigating the Influence of Oil Shale Ash and Basalt Composite Fibres on the Interfacial Transition Zone in Concrete
    Buildings 27. Jun 2024 DOI / ARKIV
  • Janis Baronins, Andrei Shishkin, Vitalijs Lusis, Chiara Giosuè, Dmitri Goljandin, Iveta Novakova et al.:
    The Effect of Raw Materials and Mechanical Activation Stages on Properties of Foamed Concrete
    Social Science Research Network (SSRN) 2024 DOI / ARKIV
  • Sofija Kekez-Baran, Rafal Krzywon :
    Prediction of Bonding Strength of Externally Bonded SRP Composites Using Artificial Neural Networks
    Materials 10. Feb 2022 DOI
  • Sofija Kekez-Baran, Jan Kubica :
    Application of Artificial Neural Networks for Prediction of Mechanical Properties of CNT/CNF Reinforced Concrete
    Materials 28. Sep 2021 DOI
  • Marcin Gorski, Rafal Krzywon, Sofija Kekez-Baran :
    Air Humidity-Induced Error in Measuring Resistance of a Carbon Fibre Strain Sensor
    Archives of civil engineering 2020 DOI
  • Sofija Kekez-Baran, Jan Kubica :
    Connecting concrete technology and machine learning: proposal for application of ANNs and CNT/concrete composites in structural health monitoring
    RSC Advances 17. Jun 2020 DOI
  • Sofija Kekez-Baran :
    Numerical Simulations of CNT/CNF Reinforced Concrete Using ANSYS
    Springer Nature 2023 DOI
  • Sofija Kekez-Baran :
    WP4.1 Technology status and mapping Research Task 5 – Life-cycle assessment
    UiT Norges arktiske universitet 2025 DOI
  • Iveta Novakova, Sofija Kekez-Baran :
    Demonstration of a circular building process at large scale: CircBoost Pilot project in Norway
    2025 DOI
  • Mateusz Sitarz, Tomasz Zdeb, Tomasz Tracz, Sofija Kekez, Iveta Novakova :
    Adhesion of Polypropylene, Steel and Basalt Fibres to a Geopolymer Matrix
    2024
  • Goran Jeftenić, Andrija Rašeta, Marijana Milić, Danilo Stipic, Ljubomir Budinski, Sofija Kekez :
    Analysis Of The Optimal Location Of Small Hydropower Plants Using The Shpop Software
    2024
  • Mateusz Sitarz, Tomasz Zdeb, Tomasz Tracz, Sofija Kekez, Izabela Hager :
    Investigation Of Adhesion Between Basalt Minibars And Geopolymer Matrix
    2024
  • Sofija Kekez :
    Workshop on “Service-life design of reinforced concrete structures” State-of-art researches and practical design in Europe and Japan
    2024
  • Iveta Novakova, Sofija Kekez :
    GEOSUMAT Project Progress Meeting
    2024
  • Sofija Kekez :
    CircBoost 3rd Annual General Assembly
    2024
  • Sofija Kekez-Baran :
    Challenges of Predicting Electrical Behavior of Self-Sensing Concrete
    2022
  • Panagiotis Mallios, Daniele Arciello, Jairo Garcia-Rodriguez, Sofija Kekez-Baran, Julia Otto :
    Assessment of a hybrid teaching programme in economics: towards sustainable development of higher education
    2022
  • Sofija Kekez-Baran :
    Use of Artificial Neural Networks for Prediction of Properties of Self-Sensing Concrete
    2021 DOI
  • Igor Dzolev, Sofija Kekez-Baran, Andrija Raseta :
    NUMERICAL MODELLING OF STEEL MEMBERS PROTECTED WITH INTUMESCENT COATING
    2021 DOI
  • Sofija Kekez-Baran :
    UNCERTAINTIES OF DEVELOPING AN ANN FOR PREDICTIONS OF OPTIMAL MIX PROPORTIONS FOR SELF-SENSING CONCRETE
    2020 DOI

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