Research groups
Research projects
Ongoing research projects
-
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;
Yazidi, Anis
;
Hermansen, Åsmund
; Berg, Bjørnar;
Øiestad, Britt Elin
;
Grotle, Margreth
; Richardsen, Kåre Rønn;
Haugerud, Hårek
(2026).
Exploring risk factors for long-term sickness absence during emerging adulthood. Continuous and discrete time models using Young-HUNT data on psychological distress and chronic pain.
International Journal of Medical Informatics.
Vol. 219.
https://doi.org/10.1016/j.ijmedinf.2026.106551
Gorosito, Martin; Berg, Bjørnar;
Yazidi, Anis
;
Hermansen, Åsmund
;
Øiestad, Britt Elin
;
Grotle, Margreth
; Richardsen, Kåre Rønn;
Haugerud, Hårek
(2025).
Disability pension during emerging adulthood: Insights from the young-HUNT study on psychological distress, chronic pain, and policy reform.
International Journal of Medical Informatics.
Vol. 207.
https://doi.org/10.1016/j.ijmedinf.2025.106216
Gorosito, Martin;
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