Andrew Cullen

Domain-Aware Multiagent Reinforcement Learning in Navigation

I Saeed, AC Cullen, S Erfani, T Alpcan

Conference Proceedings  |  2021  |  Proceedings of the International Joint Conference on Neural Networks

Multiagent reinforcement learning has shown success in guiding the agents' behaviour in systems that have realworld significance. ..

Privacy-Preserving Collaborative SDR Networks for Anomaly Detection

M Katzef, AC Cullen, T Alpcan, C Leckie, J Kopacz

Conference Proceedings  |  2021  |  IEEE International Conference on Communications

By offering unprecedented flexibility for wireless communications, Software-Defined Radio (SDR) is an enabling technology for dist..

Generative Adversarial Networks for anomaly detection on decentralised data

M Katzef, AC Cullen, T Alpcan, C Leckie

Journal article  |  2021  |  Annual Reviews in Control

Generative Adversarial Networks (GANs) have seen great research interest in recent years, due to both their ability to represent s..

Distributed Generative Adversarial Networks for Anomaly Detection

M Katzef, AC Cullen, T Alpcan, C Leckie, J Kopacz

Book Chapter  |  2020  |  Lecture Notes in Artificial Intelligence

Cognitive radio networks can be used to detect anomalous and adversarial communications to achieve situational awareness on the ra..

A fast, spectrally accurate homotopy based numerical method for solving nonlinear differential equations

Andrew C Cullen, Simon R Clarke

Journal article  |  2019  |  JOURNAL OF COMPUTATIONAL PHYSICS

We present an algorithm for constructing numerical solutions to one-dimensional nonlinear, variable coefficient boundary value pro..

A fast, spectrally accurate solver for the Falkner--Skan equation

Andrew Craig Cullen, Simon Clarke

Conference Proceedings  |  2017  |  ANZIAM Journal

We present a new numerical technique, the Gegenbauer homotopy analysis method, which allows for the construction of iterative solu..