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Rebekka Olsson Omslandseter

PhD Research Fellow

A03207 ( Jon Lilletuns vei 9, Grimstad )

Rebekka Olsson Omslandseter is a PhD candidate (Integrated PhD candidate). She has always had interests in technology, and has her passion in data science. She took her BSc at UiA in 2017 and finished her master's thesis in 2020. Her research interests are learning automata, classification, mobile radio communications, power grid analyses and signal processing. She is currently working with enhancing and developing learning automata for solving clustering problems. These learning automata can optimally monitor systems over time, and has been used to group users in mobile radio communication systems. 

Scientific publications

  • Omslandseter, Rebekka Olsson; Jiao, Lei; Oommen, John (2021). A Learning-Automata Based Solution for Non-equal Partitioning: Partitions with Common GCD Sizes. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 12799s 227 - 239. doi:10.1007/978-3-030-79463-7_19.
  • Omslandseter, Rebekka Olsson; Jiao, Lei; Oommen, John (2021). Object Migration Automata for Non-equal Partitioning Problems with Known Partition Sizes. IFIP Advances in Information and Communication Technology. ISSN: 1868-4238. doi:10.1007/978-3-030-79150-6_11.
  • Omslandseter, Rebekka Olsson; Lei, Jiao; Liu, Yuanwei; Oommen, John (2020). User Grouping and Power Allocation in NOMA Systems: A Reinforcement Learning-Based Solution. Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices.. ISBN: 978-3-030-55789-8. Springer Nature. Artikkel. s 299 - 311.
  • Omslandseter, Rebekka Olsson; Lei, Jiao; Haglund, Magne Arild (2019). Field Measurements and Parameter Calibrations of Propagation Model for Digital Audio Broadcasting in Norway. IEEE Vehicular Technology Conference (VTC). ISSN: 1090-3038. doi:10.1109/VTCFall.2018.8690746.

Last changed: 27.07.2021 07:07