Fields of study
Academic disciplines
Mathematics Mathematics and natural scienses Information and communication technology Information and communication science Medical technology Other information technology Computer technology Petroleum geology and geophysics Communication and distributed systems Chemical process engineering Simulation, visualisation, signal processing, image analysis
Research groups
Research projects
Ongoing 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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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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Net-Zero Future project
Net-Zero Future – An International Alliance to Minimize Built Environment’s Carbon Footprint.
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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.
Completed research projects
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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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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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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
Brathovde, Kristian; Djenouri, Youcef;
Yazidi, Anis
; Srivastava, Gautam
(2024).
Grouping Interesting Patterns for Understanding Customer Behaviors.
9 p.
IEEE Transactions on Computational Social Systems.
https://doi.org/10.1109/TCSS.2024.3492094
Gambin, Angel;
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
Bhandari, Shailendra
;
Rego Lencastre e Silva, Pedro
;
Mathema, Rujeena
; Szorkovszky, Alexander;
Yazidi, Anis
;
Lind, Pedro
(2024).
Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity.
arXiv.
https://doi.org/10.48550/arXiv.2412.04184
Tveter, Mats; Tveitstøl, Thomas; Hatlestad-Hall, Christoffer; Pérez Teseyra, Ana Silvina; Taubøll, Erik;
Yazidi, Anis
;
Hammer, Hugo Lewi
; Haraldsen, Ira Hebold
(2024).
Advancing EEG prediction with deep learning and uncertainty estimation.
Brain Informatics.
Vol. 11.
https://doi.org/10.1186/s40708-024-00239-6
Karmous, Nader; Ben Dhiab, Yassmine; Ould-Elhassen Aoueileyine, Mohamed; Youssef, Neji; Bouallegue, Ridha;
Yazidi, Anis
(2024).
Deep learning approaches for protecting IoT devices in smart homes from MitM attacks.
Frontiers in Computer Science.
Vol. 6.
https://doi.org/10.3389/fcomp.2024.1477501
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.
Vol. 54.
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.
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