Research groups
Research projects
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Applying Artificial Intelligence in Developing Personalized and Sustainable Healthcare for Spinal Disorders (AID-Spine, part I)
We will use machine learning methods on large survey and health register data in order to identify people with different treatment trajectories and health outcomes after surgical and/or conservative treatment for spinal disorders.
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Co-occurrent pain and psychological distress: From adolescence to adulthood
The project will use population-based data from four cross-sectional databases (SHoT, Young-HUNT1, Young-HUNT3 and Young-HUNT4) linked with prospectively collected data from national administrative and health registries.
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Needs and expectations among individuals, health personnel, and stakeholders involved in occupation and health (Bridgebuilder project)
Impaired musculoskeletal health is known to negatively impact work productivity and life quality. This project acts as a bridge between academic research and users’ needs in the society.
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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
Naser Jaber, Aws; Fritsch, Lothar; Haugerud, Hårek
(2022).
Improving Phishing Detection with the Grey Wolf Optimizer.
2022 International Conference on Electronics, Information, and Communication (ICEIC 2022). Vitenskapelig koneranseartikkel.
IEEE.
https://ieeexplore.ieee.org/document/9748592
Bårli, Eirik Molde; Yazidi, Anis; Viedma, Enrique Herrera; Haugerud, Hårek
(2021).
DoS and DDoS mitigation using Variational Autoencoders.
21 p.
Computer Networks
.
Vol. 199.
http://hdl.handle.net/10852/92512
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 generations computer systems
.
Vol. 124.
http://hdl.handle.net/10852/92511
Haugerud, Hårek; Svensson, Jonas Krüger; Yazidi, Anis (2020). Autonomous Provisioning of Preemptive Instances in Google Cloud for Maximum Performance Per Dollar. Essaaidi, Mohamed; Zbakh, Mostapha (Ed.). Proceedings of 2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech’20). Artikkel. IEEE conference proceedings.
Fladby, Torgeir; Haugerud, Hårek; Nichele, Stefano; Begnum, Kyrre; Yazidi, Anis
(2020).
Evading a Machine Learning-based Intrusion Detection System through Adversarial Perturbations.
NN, NN (Ed.).
RACS '20: Proceedings of the International Conference on Research in Adaptive and Convergent Systems. Research-article. p. 161-166.
Association for Computing Machinery (ACM).
https://hdl.handle.net/11250/2729788
Sangar, Disha; Upreti, Ramesh; Haugerud, Hårek; Begnum, Kyrre; Yazidi, Anis (2020). Stable marriage matching for homogenizing load distribution in cloud data center. Transactions on Large-Scale Data- and Knowledge-Centered Systems . Vol. 45.
Upreti, Ramesh; Rauniyar, Ashish; Kunwar, Jeevan; Haugerud, Hårek; Engelstad, Paal E.; Yazidi, Anis
(2020).
Adaptive Pursuit Learning for Energy‐efficient Target Coverage in Wireless Sensor Networks.
25 p.
Concurrency and Computation
.
http://hdl.handle.net/10852/83659
Rønning, Madeleine; Haugerud, Hårek; Yazidi, Anis; Maseng, Torleiv; Hammer, Hugo Lewi (2020). Mitigating DDoS using weight-based geographical clustering. 17 p. Concurrency and Computation . Vol. 32.
Haugerud, Hårek; Xue, Noha; Yazidi, Anis (2020). On automated cloud bursting and hybrid cloud setups using Apache Mesos. Concurrency and Computation .
Sangar, Disha; Haugerud, Hårek; Yazidi, Anis; Begnum, Kyrre Matthias (2019). A Decentralized Approach for Homogenizing Load Distribution in Cloud Data Center Based on Stable Marriage Matching. 11th ACM International Conference on Management of Digital EcoSystems. 1. ACM Publications.
Khan, Naveed Ashraf; Haugerud, Hårek; Shrestha, Raju; Yazidi, Anis (2019). Optimizing Power and Energy Efficiency in Cloud Computing. 11th ACM International Conference on Management of Digital EcoSystems. 1. ACM Publications.
Yazidi, Anis; Haugerud, Hårek; Ung, Fredrik; Begnum, Kyrre Matthias (2019). Minimum-Impact First: Scheduling Virtual Machines Under Maintenance Scenarios. 11th ACM International Conference on Management of Digital EcoSystems. 1. ACM Publications.
Yazidi, Anis; Ung, Fredrik; Haugerud, Hårek; Begnum, Kyrre Matthias (2019). Affinity Aware-Scheduling of Live Migration of Virtual Machines Under Maintenance Scenarios. Proceedings from 2019 IEEE Symposium on Computers and Communications (ISCC2019). 1. IEEE conference proceedings.
Rauniyar, Ashish; Kunwar, Jeevan; Haugerud, Hårek; Yazidi, Anis; Engelstad, Paal E.
(2019).
Energy Efficient Target Coverage in Wireless Sensor Networks Using Adaptive Learning.
Jemili, Imem; Mosbah, Mohamed (Ed.).
Distributed Computing for Emerging Smart Networks. 9. p. 133-147.
http://hdl.handle.net/10852/77237
Hansen, Erik Aaron; Nichele, Stefano; Yazidi, Anis; Haugerud, Hårek; Abolpour Mofrad, Asieh; Alcocer, Alex (2018). Achieving Connectivity between Wide Areas Through Self-Organising Robot Swarms using Embodied Evolution. Sundaram, Suresh (Ed.). Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence (SSCI 2018). 18. p. 875-883. IEEE.
Gembala, Bartosz Gembala; Yazidi, Anis; Haugerud, Hårek; Nichele, Stefano (2018). Autonomous configuration of network parameters in operating systems using evolutionary algorithms. NN, NN (Ed.). Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems. 1. p. 118-125. Association for Computing Machinery (ACM).
Yazidi, Anis; Ung, Fredrik; Haugerud, Hårek; Begnum, Kyrre (2018). Effective live migration of virtual machines using partitioning and affinity aware-scheduling. Computers & electrical engineering . Vol. 69.
Rønning, Madeleine; Yazidi, Anis; Haugerud, Hårek; Hammer, Hugo Lewi (2018). Data Mining Approaches for IP Address Clustering. Lecture Notes in Computer Science (LNCS) . Vol. 221.
Xue, Noha; Haugerud, Hårek; Yazidi, Anis (2017). On automated cloud bursting and hybrid cloud setups using Apache Mesos. Essaaidi, Mohamed (Ed.). 2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech). Kapittel 11. p. 74-82. IEEE.
Ahmad, Bilal; Yazidi, Anis; Haugerud, Hårek; Farokhi, Soodeh (2017). Orchestrating Resource Allocation for Interactive vs. Batch Services using a Hybrid Controller. Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network Management. 1. p. 1195-1203. IEEE conference proceedings.
Tasoulas, Evangelos; Hammer, Hugo Lewi; Haugerud, Hårek; Yazidi, Anis; Bratterud, Alfred; Feng, Boning (2017). The Concept of Workload Delay as a Quality-of-Service Metric for Consolidated Cloud Environments with Deadline Requirements. Gkoulalas-Divanis, Aris (Ed.). 2017 IEEE 16th International Symposium on Network Computing and Applications (NCA). 1. p. 1-5. IEEE conference proceedings.
Tamrakar, Kabin; Yazidi, Anis; Haugerud, Hårek (2017). Cost efficient batch processing in amazon cloud with deadline awareness. Advanced Information Networking and Applications.
Xue, Noha; Haugerud, Hårek; Yazidi, Anis (2017). Towards a hybrid cloud platform using apache mesos. Lecture Notes in Computer Science (LNCS) . Vol. 10356 LNCS.
Hammer, Hugo Lewi; Yazidi, Anis; Bratterud, Alfred; Haugerud, Hårek; Feng, Boning (2017). A Queue Model for Reliable Forecasting of Future CPU Consumption. Mobile Networks and Applications .
Morshedi, Maghsoud; Haugerud, Hårek; Begnum, Kyrre (2017). Making the Case for Highly Efficient Multicore Enabled Unikernels With IncludeOS. NN, NN (Ed.). The Eighth International Conference on Cloud Computing, GRIDs, and Virtualization. 1. p. 10-15. International Academy, Research and Industry Association (IARIA).
Hammer, Hugo Lewi; Yazidi, Anis; Bratterud, Alfred; Haugerud, Hårek; Feng, Boning (2017). Recovering Request Patterns to a CPU Processor from Observed CPU Consumption Data. Maglaras, Leandros (Ed.). Industrial Networks and Intelligent Systems. 2. p. 14-28. Springer.
Bratterud, Alfred; Walla, Alf-André; Haugerud, Hårek; Engelstad, Paal E.; Begnum, Kyrre
(2015).
IncludeOS: A minimal, resource efficient unikernel for cloud services.
IEEE International Conference on Cloud Computing Technology and Science
.
http://2015.cloudcom.org/
Kvadsheim, Reidar; Haugerud, Hårek; Hammer, Hugo Lewi; Bratterud, Alfred; Habib, Laurence
(2015).
Does Clicker Use Improve Exam Scores? A Controlled Randomized Experiment in a Bachelor-Level Course in Software Engineering.
International Journal of Engineering Education
.
Vol. 31.
http://www.ijee.ie/latestissues/Vol31-2/08_ijee299...
Bratterud, Alfred; Haugerud, Hårek
(2013).
Maximizing hypervisor scalability using minimal virtual machines.
Society, IEEE (Ed.).
2013 IEEE International Conference on Cloud Computing Technology and Science. Artikkel. p. 218-223.
IEEE.
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arn...
Tasoulas, Evangelos; Haugerud, Hårek; Begnum, Kyrre
(2012).
Bayllocator: A proactive system to predict server utilization and dynamically allocate memory resources using Bayesian networks and ballooning.
Rowland, Carolyn (Ed.).
Proceedings of LISA ’12: 26th Large Installation System Administration Conference. Cloud Computing. p. 111-121.
https://www.usenix.org/system/files/conference/lis...
