Research groups
Research projects
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AI-Mind
The goal of the research is to reduce the burden of dementia by developing novel, AI-based tools.
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Artificial intelligence - a novel tool in assisted reproduction technology
The project aims to improve the methods for selecting sperm and embryos and increase the chance of pregnancy and live-born children.
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Co-occurrent pain and psychological distress: From adolescence to adulthood
The project will provide new insight into the long-term consequences of early onset co-occurrent pain and psychological distress.
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Mapping hateful utterances about Muslims on Norwegian Social Media
Based on analyses of big data from Norwegian social media the project aims to map hate speech about Muslims. The project will also conduct a meta-analysis of existing knowledge about hate speech about Muslims.
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Net-Zero Future
To enable a rapid global movement toward the built environmentʼs carbon footprint reduction, this project will initiate an international alliance to coordinate and perform research, educational, and outreach activities to realize net-zero built structures.
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Smart Development of nano-antibiotics
The project seeks to develop drug formulations of novel antimicrobials, so-called bacteriocins, by applying nanotechnology and artificial intelligence.
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The technology and knowledge transfer based on Norway-Czech cooperation
The project focuses on the transfer of technology, intellectual property protection and support of spin-off companies.
Publications and research
Scientific publications
Sahu, Geet; Seal, Ayan;
Yazidi, Anis
; Krejcar, Ondrej
(2024).
A Dual-Channel Dehaze-Net for Single Image Dehazing in Visual Internet of Things Using PYNQ-Z2 Board.
14 p.
IEEE Transactions on Automation Science and Engineering.
Vol. 21.
https://doi.org/10.1109/TASE.2022.3217801
Khan, Mehak;
Borges Moreno e Mello, Gustavo
;
Habib, Laurence
;
Engelstad, Paal
;
Yazidi, Anis
(2024).
HITS-based Propagation Paradigm for Graph Neural Networks.
22 p.
ACM Transactions on Knowledge Discovery from Data.
Vol. 18.
https://doi.org/10.1145/3638779
Gambín, Ángel Fernández;
Yazidi, Anis
; Vasilakos, Athanasios;
Haugerud, Hårek
; Djenouri, Youcef
(2024).
Deepfakes: current and future trends.
Artificial Intelligence Review.
Vol. 57.
https://doi.org/10.1007/s10462-023-10679-x
Abolghasemi, Roza
; Viedma, Enrique Herrera;
Engelstad, Paal E.
; Djenouri, Youcef;
Yazidi, Anis
(2024).
A graph neural approach for group recommendation system based on pairwise preferences.
Information Fusion.
Vol. 107.
https://doi.org/10.1016/j.inffus.2024.102343
Khan, Haroon
;
Khadka, Rabindra
; Sultan, Malik Shahid;
Yazidi, Anis
; Ombao, Hernando;
Mirtaheri, Peyman
(2024).
Unleashing the potential of fNIRS with machine learning: classification of fine anatomical movements to empower future brain-computer interface.
Frontiers in Human Neuroscience.
Vol. 18.
https://doi.org/10.3389/fnhum.2024.1354143
Upreti, Ramesh; Lind, Pedro G.; Elmokashfi, Ahmed Mustafa Abdalla;
Yazidi, Anis
(2024).
Trustworthy machine learning in the context of security and privacy.
International Journal of Information Security.
https://doi.org/10.1007/s10207-024-00813-3
Djenouri, Youcef;
Belhadi, Asma
; Srivastava, Gautam; Lin, Jerry Chun-Wei;
Yazidi, Anis
(2023).
Interpretable intrusion detection for next generation of Internet of Things.
6 p.
Computer Communications.
Vol. 203.
https://doi.org/10.1016/j.comcom.2023.03.005
Djenouri, Youcef;
Yazidi, Anis
; Srivastava, Gautam; Lin, Jerry Chun-Wei
(2023).
Blockchain: Applications, Challenges, and Opportunities in
Consumer Electronics.
5 p.
IEEE Consumer Electronics Magazine.
Vol. 13.
https://doi.org/10.1109/MCE.2023.3247911
Khan, Haroon
; Qureshi, Nauman Khalid;
Yazidi, Anis
; Engell, Håvard;
Mirtaheri, Peyman
(2023).
Single-leg stance on a challenging surface can enhance cortical activation in the right hemisphere – A case study.
9 p.
Heliyon.
Vol. 9.
https://doi.org/10.1016/j.heliyon.2023.e13628
Belhadi, Asma
; Holland, Jon-Olav;
Yazidi, Anis
; Srivastava, Gautam; Lin, Jerry Chun-Wei; Djenouri, Youcef
(2023).
BIoMT-ISeg: Blockchain internet of medical things for intelligent segmentation.
13 p.
Frontiers in Physiology.
Vol. 13.
https://doi.org/10.3389/fphys.2022.1097204
