Fields of study
Academic disciplines
Information and communication technology Information and communication science Medical technology Other information technology Computer technology Mathematics and natural scienses Petroleum geology and geophysics Communication and distributed systems Chemical process engineering Simulation, visualisation, signal processing, image analysis
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
Jouini, Oumayma; Aoueileyine, Mohamed Ould-Elhassen; Sethom, Kaouthar;
Yazidi, Anis
(2024).
Wheat Leaf Disease Detection: A Lightweight Approach with Shallow CNN Based Feature Refinement.
21 p.
AgriEngineering.
Vol. 6.
https://doi.org/10.3390/agriengineering6030117
Yazidi, Anis
;
Hammer, Hugo Lewi
; Leslie, David S.
(2024).
A Two-Timescale Learning Automata Solution to the Nonlinear Stochastic Proportional Polling Problem.
IEEE Transactions on Systems, Man & Cybernetics. Systems.
https://doi.org/10.1109/TSMC.2024.3414832
Ojha, Jaya;
Haugerud, Hårek
;
Yazidi, Anis
;
Lind, Pedro
(2024).
Exploring Interpretable AI Methods for ECG Data Classification.
Association for, Computing Mach (Ed.).
ICDAR 2024 Proceedings. p. 11-18.
Association for Computing Machinery (ACM).
https://doi.org/10.1145/3643488.3660294
Rego Lencastre e Silva, Pedro
;
Yazidi, Anis
;
Lind, Pedro
(2024).
Modeling Wind-Speed Statistics beyond the Weibull Distribution.
Energies.
Vol. 17.
https://doi.org/10.3390/en17112621
Rego Lencastre e Silva, Pedro
;
Yazidi, Anis
;
Lind, Pedro
(2024).
Modeling Wind-Speed Statistics beyond the Weibull Distribution.
11 p.
Energies.
Vol. 17.
https://doi.org/10.3390/en17112621
Upreti, Ramesh;
Lind, Pedro
; Elmokashfi, Ahmed Mustafa Abdalla;
Yazidi, Anis
(2024).
Trustworthy machine learning in the context of security and privacy.
International Journal of Information Security.
Vol. 23.
https://doi.org/10.1007/s10207-024-00813-3
Upreti, Ramesh;
Lind, Pedro
; Elmokashfi, Ahmed Mustafa Abdalla;
Yazidi, Anis
(2024).
Trustworthy machine learning in the context of security and privacy.
International Journal of Information Security.
Vol. 23.
https://doi.org/10.1007/s10207-024-00813-3
Khan, Mehak;
Borges Moreno e Mello, Gustavo
;
Habib, Laurence
;
Engelstad, Paal
;
Yazidi, Anis
(2024).
HITS-based Propagation Paradigm for Graph Neural Networks.
ACM Transactions on Knowledge Discovery from Data.
Vol. 18.
https://doi.org/10.1145/3638779
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
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.
16 p.
Information Fusion.
Vol. 107.
https://doi.org/10.1016/j.inffus.2024.102343