Research groups
Research projects
Ongoing research projects
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AI-driven patient avatar for physiotherapy education
The project will develop an AI-based patient avatar that allows physiotherapy students to practice professional communication skills early in their studies.
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Applying Artificial Intelligence in Developing Personalized and Sustainable Healthcare for Spinal Disorders (AID-Spine, part I)
We use machine learning methods to develop and validate prediction models for health and welfare outcomes after treatment for spinal disorders.
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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.
Completed research projects
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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
Gorosito, Martin A.;
Haugerud, Hårek
;
Berg, Bjørnar
;
Yazidi, Anis
;
Øiestad, Britt Elin
; Sivertsen, Børge;
Grotle, Margreth
;
Richardsen, Kåre Rønn
(2025).
Chronic pain, psychological distress, and their co-occurrence in Norwegian young adults: Insights from machine learning and explainable AI.
International Journal of Medical Informatics.
Vol. 205.
https://doi.org/10.1016/j.ijmedinf.2025.106108
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
Ojha, Jaya;
Haugerud, Hårek
;
Yazidi, Anis
;
Lind, Pedro
(2024).
Exploring Interpretable AI Methods for ECG Data Classification.
for, Computing Mach Association (Ed.).
ICDAR 2024 Proceedings. p. 11-18.
Association for Computing Machinery (ACM).
https://doi.org/10.1145/3643488.3660294
Berg, Bjørnar
; Gorosito, Martin; Fjeld, Olaf;
Haugerud, Hårek
;
Storheim, Kjersti
; Solberg, Tore;
Grotle, Margreth
(2024).
Machine Learning Models for Predicting Disability and Pain Following Lumbar Disc Herniation Surgery.
JAMA Network Open.
Vol. 7.
https://doi.org/10.1001/jamanetworkopen.2023.55024
Aoueileyine, Mohamed Ould-Elhassen; Bennouri, Hajar; Berqia, Amine;
Lind, Pedro
;
Haugerud, Hårek
; Krejcar, Ondrej; Bouallegue, Ridha;
Yazidi, Anis
(2023).
Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach.
Sensors.
Vol. 23.
https://doi.org/10.3390/s23083877
Palumbo, Fabrizio
; Buji, Adam;
Yazidi, Anis
;
Haugerud, Hårek
(2022).
Genetic Algorithms For Tightening Security.
Ukjent, Ukjent (Ed.).
Proceedings of the 14th IFIP Wireless and Mobile Networking Conference.
IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.23919/WMNC56391.2022.9954297
Haugerud, Hårek
; Sobhie, Mohamad;
Yazidi, Anis
(2022).
Tuning of Elasticsearch Configuration: Parameter Optimization Through Simultaneous Perturbation Stochastic Approximation.
Frontiers in Big Data.
Vol. 5.
https://doi.org/10.3389/fdata.2022.686416
Kashi, Meraj Mostam;
Yazidi, Anis
;
Haugerud, Hårek
(2022).
Mitigating yo-yo attacks on cloud auto-scaling.
IFIP Wireless and Mobile Networking Conference (WMNC).
https://doi.org/10.23919/WMNC56391.2022.9954300
Jaber, Aws Naser;
Fritsch, Lothar
;
Haugerud, Hårek
(2022).
Improving Phishing Detection with the Grey Wolf Optimizer.
Associates, Curan (Ed.).
2022 International Conference on Electronics, Information, and Communication (ICEIC 2022).
IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.1109/ICEIC54506.2022.9748592
Haugerud, Hårek
; Tran, Huy Nhut; Aitsaadi, Nadjib;
Yazidi, Anis
(2021).
A dynamic and scalable parallel Network Intrusion Detection System using intelligent rule ordering and Network Function Virtualization.
Future Generation Computer Systems.
Vol. 124.
https://doi.org/10.1016/j.future.2021.05.037
