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Education/Academic qualification
Recognised by Advance HE as a Fellow against Descriptor 2 of the UKPSF
10 Jul 2024 → …
Accredited as a teacher of their subject by a professional UK body
Other UK accreditation or qualification in teaching in the higher education sector
Overseas accreditation or qualification for any level of teaching
Doctorate
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Dive into the research topics where Neda Ahmadi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Optimizing power control in cellular and cell-free massive MIMO systems: a SVM/RBF approach
Ahmadi, N. & Akbarizadeh, G., 24 Mar 2025, (E-pub ahead of print) In: IEEE Access.Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Downloads (Pure) -
Power control in massive MIMO networks using transfer learning with deep neural networks
Ahmadi, N., Mporas, I., Papathanasopoulos, A., Kourtessis, P. & Senior, J., 2 Nov 2022, Published in: Proceedings of 2022 IEEE 27th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, pp. 89-93, ISSN: 2378-4873, ISBN: 9781665461306 Organising Body: The Institute of Electrical and Electronics Engineers (IEEE) Organising Body: The Institute of Electrical and Electronics Engineers (IEEE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Power control in massive MIMO networks using transfer learning with deep neural networks
Ahmadi, N., Mporas, I., Papazafeiropoulos, A., Kourtessis, P. & Senior, J., 2 Nov 2022.Research output: Contribution to conference › Paper › peer-review
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Evaluation of machine learning algorithms on power control of massive MIMO systems
Ahmadi, N., Mporas, I., Kourtessis, P. & Senior, J., 20 Jul 2022, Published in: Proceedings of 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), Piscataway, U.S. : Institute of Electrical and Electronics Engineers, pp. 715-720, ISBN: 9781665410458 Organising Body: Institute of Electrical and Electronics Engineers (IEEE) Organising Body: Institute of Electrical and Electronics Engineers (IEEE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Evaluation of machine learning algorithms on power control of massive MIMO systems
Ahmadi, N., Mporas, I., Kourtessis, P. & Senior, J., 20 Jul 2022.Research output: Contribution to conference › Paper › peer-review