Projects per year
Organization profile
Organisation profile
The group derives RF and microwave hardwares for data acquisition and transmission covering a broad range of emerging applications. Based on our unique domain knowledge the group also focuses on the development of artificial intelligence algorithms to use the data to make breakthroughs. The research topics include: satellite remote sensing, biomedical sensors, UWB sensor and mm-wave radar for localization and navigation, generative design of circuits and systems, fault diagnosis of RF and microwave systems etc.
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The fingerprint consists of concepts related to the research profile of the unit and associated persons. It is updated automatically, when new content is added.
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Profiles
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Zeliang An
- The Technical Faculty of IT and Design - Guest PhD student
- Department of Electronic Systems - Guest PhD student
- Antennas, Propagation and Millimetre-Wave Systems - Guest PhD student
- AI RF-sensors
Person: VIP, External
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Ole Kiel Jensen
- The Technical Faculty of IT and Design - Associate Professor
- Department of Electronic Systems - Associate Professor
- Antennas, Propagation and Millimetre-Wave Systems - Associate Professor
- AI RF-sensors
- Wireless propagation and Over the Air testing
Person: VIP
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Horizon Europe I3LUNG: Integrative science, Intelligent data platform for Individualized LUNG cancer care with Immunotherapy
Kosta, S., Sørensen, L. T., Shen, M. & Zanitti, M.
01/04/2022 → 31/03/2027
Project: Research
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Deep Learning Based Communication for Power-Efficient Satellite Systems
Shen, M. & De Carvalho, E.
15/09/2020 → 14/09/2023
Project: Research
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DeepBone: Deep Learning Based Detection of Surgical Site Infections in Orthopaedic Patients
Shen, M., Kold, S. V. & Rahbek, O.
01/01/2021 → 31/12/2022
Project: Research
Research output
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Adapting to Nonlinear Transmitters with Hybrid Model Training for Neural Receivers
Nielsen, M. H., De Carvalho, E. & Shen, M., 2023, (Submitted) In: IEEE Transactions on Cognitive Communications and Networking.Research output: Contribution to journal › Journal article › Research › peer-review
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Adversarial attacks and active defense on deep learning based identification of GaN power amplifiers under physical perturbation
Xu, Y., Xu, G., An, Z., Nielsen, M. H. & Shen, M., Feb 2023, In: AEÜ - International Journal of Electronics and Communications. 159, 154478.Research output: Contribution to journal › Journal article › Research › peer-review
1 Citation (Scopus) -
A High-Quality Data Acquisition Method for Machine Learning Based Design and Analysis of Electromagnetic Structures
Zhou, Z., Wei, Z., Tahir, A., Ren, J., Yin, Y., Pedersen, G. F. & Shen, M., 2023, (Accepted/In press) In: IEEE Transactions on Microwave Theory and Techniques. p. 1-12 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile71 Downloads (Pure)
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Eksaminer af Final Mater Thesis Projekt
Feridoon Jalili (Internal examiner)
18 Jun 2021Activity: Examination › Internal examination
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Eksaminer af 8. semester projekt
Feridoon Jalili (Internal examiner)
18 Jun 2021Activity: Examination › Internal examination
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Main supervisor of 8th Semester Project, Group 820, Communication Technology Aalborg University Spring 2021
Feridoon Jalili (Other)
1 Feb 2021 → 20 Jun 2021Activity: Other