Personal information

deep learning, wireless communications, channel free training, over-the-air training, neural networks, adaptation, deep learning coding design, multi-task learning
Australia

Biography

Christopher P. Davey has a Master of Information Technology degree from the Queensland University of Technology (QUT, Australia) in 2007 and completed a Master of Science majoring in mathematics and statistics from The University of Southern Queensland (UniSQ, Australia) in 2020. Chris has over a decade of professional experience in software development and systems integration. He has recently submitted his thesis under the PhD program at UniSQ with the focus of his research being on “Deep Learning for Wireless Communications”. He has worked on “Artificial Intelligence for Decision-Making (AI4DM)” and “AI-enabled communicating systems” research project funded by the Australian Government’s Department of Defence. His current role of Research Engineer at UniSQ will undertake research on the Trainable Radios project co-funded by Australian Department of Defence. This project will take a paradigm shift from the widely used modular design approach to adopt a data-driven ‘model-free’ approach to design tactical communication waveforms using artificial intelligence (AI) techniques and machine learning (ML) algorithms.

Activities

Education and qualifications (1)

University of Southern Queensland: Toowoomba, AU

2021 to 2024 | Doctor of Philosophy (School of Mathematics, Physics and Computing)
Education
Source: Self-asserted source
Chris Davey

Works (6)

Applied Deep Learning for Artificial Intelligence-enabled Wireless Communication

University of Southern Queensland
2024 | Dissertation or Thesis
Contributors: Chris Davey
Source: Self-asserted source
Chris Davey

Artificial Intelligence-Empowered Doppler Weather Profile for Low-Earth-Orbit Satellites

Sensors
2024-08-14 | Journal article
Contributors: Ekta Sharma; Ravinesh C. Deo; Christopher P. Davey; Brad D. Carter
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End-to-end learning of adaptive coded modulation schemes for resilient wireless communications

Applied Soft Computing
2024-07 | Journal article
Contributors: Christopher P. Davey; Ismail Shakeel; Ravinesh C. Deo; Ekta Sharma; Sancho Salcedo-Sanz; Jeffrey Soar
Source: check_circle
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Deep Learning Based Over-the-Air Training of Wireless Communication Systems without Feedback

Sensors
2024-05-08 | Journal article
Contributors: Christopher P. Davey; Ismail Shakeel; Ravinesh C. Deo; Sancho Salcedo-Sanz
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Channel-Agnostic Training of Transmitter and Receiver for Wireless Communications

Sensors
2023 | Journal article
Part of ISSN: 1424-8220
Contributors: Davey, Christopher P.; Shakeel, Ismail; Deo, Ravinesh C.; Salcedo-Sanz, Sancho
Source: Self-asserted source
Chris Davey
grade
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Using Sequence-to-Sequence Models for Carrier Frequency Offset Estimation of Short Messages and Chaotic Maps

IEEE Access
2022 | Journal article
Contributors: Christopher P. Davey; Ismail Shakeel; Ravinesh C. Deo; Sancho Salcedo-Sanz; Jeffrey Soar
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Peer review (10 reviews for 3 publications/grants)

Review activity for Computers & electrical engineering. (3)
Review activity for Engineering applications of artificial intelligence. (1)
Review activity for IEEE access : (6)