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Ansatteoversikt
Paal Engelstad

Paal Engelstad

Stillingstittel
  • professor
Besøksadresse
  • Pilestredet 35, 0166 Oslo
Telefon
  • Kontor: +47 672 38 538
E-post
  • paal.engelstad@oslomet.no
Tilhørighet

Forskningsgrupper

Publikasjoner og forskningsresultater

Vitenskapelige publikasjoner

Erdmann, Niklas; Bentsen, Lars Ødegaard; Stenbro, Roy; Riise, Heine Nygard; Warakagoda, Narada Dilp; Engelstad, Paal E. (2026). Multi-Horizon Time Series Forecasting of Non-Parametric CDFs with Deep Lattice Networks. Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 40.
https://hdl.handle.net/11250/5320345

Zieglmeier, Sebastian Georg; Badyn, Mathias Hudoba de; Warakagoda, Narada Dilp; Krogstad, Thomas Røbekk; Engelstad, Paal E. (2025). Semi-Data-Driven Model Predictive Control: A Physics-Informed Data-Driven Control Approach. IEEE Conference on Decision and Control. Proceedings.
https://doi.org/10.1109/cdc57313.2025.11312410

Aryan, Ramtin ; Yazidi, Anis ; Bouhoula, Adel; Engelstad, Paal E. (2025). A formal technique for automatic resolution of OpenFlow anomalies. International Journal of Information Security. Vol. 24.
https://doi.org/10.1007/s10207-025-01035-x

Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal (2024). Relative evaluation of probabilistic methods for spatio-temporal wind forecasting. Journal of Cleaner Production. Vol. 434.
https://doi.org/10.1016/j.jclepro.2023.139944

Erdmann, Niklas; Bentsen, Lars Ødegaard; Stenbro, Roy; Riise, Heine Nygard; Warakagoda, Narada Dilp; Engelstad, Paal (2024). Deep and Probabilistic Solar Irradiance Forecast at the Arctic Circle. Conference record of the Photovoltaic Specialists Conference.
https://doi.org/10.1109/PVSC57443.2024.10748862

Khan, Mehak; Mello, Gustavo Borges Moreno e ; 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

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. Information Fusion. Vol. 107.
https://doi.org/10.1016/j.inffus.2024.102343

Rauniyar, Ashish; Østerbø, Olav Norvald; Håkegård, Jan Erik; Engelstad, Paal E. (2023). Exploiting Cooperative Downlink NOMA in D2D Communications. Sensors. Vol. 23.
https://doi.org/10.3390/s23083958

Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal E. (2023). A Unified Graph Formulation for Spatio-Temporal Wind Forecasting. Energies. Vol. 16.
https://doi.org/10.3390/en16207179

Rauniyar, Ashish; Østerbø, Olav Norvald; Håkegård, Jan Erik; Engelstad, Paal E. (2023). Ergodic Performance Analysis of Reconfigurable Intelligent Surface Enabled Bidirectional NOMA. Gregory, Mark A.; Li, Shuo (Red.). Proceedings of the 2023 33rd International Telecommunication Networks and Applications Conference (ITNAC). s. 128-133. IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.1109/ITNAC59571.2023.10368523



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Forskningsrapporter

Østerbø, Olav Norvald; Engelstad, Paal E. (2008). WLAN QoS Analysis - A New Modelling Approach for 802.11e, Telenor R&I Scientific Report, R28/08. 20 s. Telenor R&I.
https://hdl.handle.net/11250/4728866

Jønvik, Tore; Engelstad, Paal ; Do, Thanh van (2005). Towards the realisation of the Virtual Device Consept. 222 s. Unipub forlag.
https://hdl.handle.net/11250/5138119

Engelstad, Paal E. (2000). Scientific Structures and Research Programs in Digital Communication. 20 s. MNVIT401 essay & Whitepaper.
https://hdl.handle.net/11250/3537732



Publikasjonslisten er hentet ut av Nasjonalt vitenarkiv (NVA). Listen kan være ufullstendig.

Formidling

Holen, Martin; Ruud, Else-Line Malene; Warakagoda, Narada Dilp; Granmo, Ole-Christoffer; Engelstad, Paal E. ; Knausgård, Kristian Muri (2022). Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles.
https://doi.org/10.1007/978-3-031-08223-8_38

Aryan, Ramtin ; Brattensborg, Frode; Yazidi, Anis ; Engelstad, Paal E. (2019). Checking the OpenFlow Rule Installation and Operational Verification. The 44th IEEE Conference on Local Computer Networks (LCN). IEEE.
https://hdl.handle.net/11250/4226809

HaileselassieHagos, Desta; Engelstad, Paal E. ; Yazidi, Anis (2019). Classification of Delay-based TCP Algorithms From Passive Traffic Measurements. ©2019 IEEE. IEEE.
https://hdl.handle.net/11250/4641083

Aryan, Ramtin ; Yazidi, Anis ; Engelstad, Paal E. (2018). An Incremental Approach for Swift OpenFlow Anomaly Detection. 2018 IEEE 43rd Conference on Local Computer Networks (LCN). IEEE.
https://hdl.handle.net/11250/3833448

Kongsgård, Kyrre Wahl; Nordbotten, Nils Agne; Mancini, Federico; Engelstad, Paal E. (2017). An Internal/Insider Threat Score for Data Loss Prevention and Detection. Proceedings of the 3rd ACM on International Workshop on Security And Privacy Analytics..
https://hdl.handle.net/11250/3594493

Kongsgård, Kyrre Wahl; Nordbotten, Nils Agne; Engelstad, Paal E. ; Mancini, Federico (2017). Data Loss Prevention for Cross-Domain Instant Messaging. IEEE Symposium Series on Computational Intelligence.
https://hdl.handle.net/11250/5066437

Do, van Thanh ; Engelstad, Paal E. ; Feng, Boning ; Do, Van Thuan (2017). A near real time SMS Grey Traffic detection. 6th International Conference on Software and Computer Applications.
https://hdl.handle.net/11250/4079276

Thuan, Do Van; Engelstad, Paal E. ; Feng, Boning ; Do, van Thanh (2017). Detection of DNS tunneling in mobile networks using machine learning. International Conference on Information Science and Applications 2017 ICISA 2017.
https://hdl.handle.net/11250/4487568

Aryan, Ramtin ; Yazidi, Anis ; Engelstad, Paal E. ; Kure, Øivind (2017). A General Formalism for Defining and Detecting OpenFlow Rule Anomalies. 2017 IEEE 42nd Conference on Local Computer Networks. IEEE 42nd Conference on Local Computer Networks.
https://hdl.handle.net/11250/3371619

Do, Van Thuan; Engelstad, Paal E. ; Boning, Feng; Do, van Thanh (2016). Strengthening mobile network security using machine learning. 13th International Conference on Mobile Web and Intelligent Information Systems. Natalia Kryvinska, University of Vienna, Austria .
https://hdl.handle.net/11250/3816636



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