People
Research group and supervision
Higher degree research candidates working across coordination, learning, and the assurance of intelligent systems.
I currently supervise seven higher degree research candidates as primary, joint, or secondary supervisor, alongside a completed HDR cohort and more than a dozen honours and undergraduate research projects. Topics span decentralised and federated learning, human-swarm teaming, satellite autonomy, AI for health, and the assurance of AI systems. Where a project produced a peer-reviewed output, it is listed beneath the student.
Current HDR candidates
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Aisha Alabsi
Towards Heterogeneity-Aware Decentralised Federated Learning
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Khan Md Hasib
AI-Assisted Diagnostic Framework for Multimorbidity
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Noha Abuaesh
Knowledge Representation for Human-Swarm Teaming
OutputPrime-Weighted Exponential Neurons: Traceability in AI and Robotic Systems · IEEE SMC · 2026 · in press
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Qianchu Li
Can AI Improve the Training of Uncrewed Aerial Systems Operators?
OutputApplications of Machine Learning in Assessing Cognitive Load of UAS Operators and in Enhancing Training · Drones · 2025
OutputCan Artificial Intelligence Improve Training of Uncrewed Aerial Systems Operators? · HFES Annual Meeting · 2026 · in press
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Anirban Roy
Collective Intelligence of Satellites Through Decentralised Learning
OutputSelf-Supervised Object Detection in Remote Sensing · 2025 · under review
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Abdelaziz Mostafa
Graph Neural Networks for Misinformation Detection
OutputTheory-Informed Intent Modelling for Disinformation Detection · 2025 · under review
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Randall McCutcheon
Test and Evaluation of AI Systems
OutputEstablishing a Baseline for Assurance of Complex and Critical Artificially Intelligent Systems · 2025 · under review
Completed HDR
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Shajoti Amin
Pedagogies for Teaching Cyber Safety to Primary School Children
OutputSecuring Young Minds: Analysing Primary Teachers’ Perspectives and Practices in Cyber Safety · ACIS · 2024
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Shrouk El-Amir
An Improved Framework for Classifying Imbalanced Big Data
OutputClassification Imbalanced Data Sets: A Survey · Int. J. Computer Applications · 2019
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Sara Abdel Razek
A Framework for Forensic Investigation in Cloud Storage
OutputCloud Storage Forensics: Survey · Int. J. Engineering Trends and Technology · 2017
Honours projects — Computing and Cyber Security
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Alimah Muhammad
Comparative Analysis of Machine Learning Algorithms for Anomaly Detection
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Nadia Govier
Algorithm for Simultaneously Learning Multiple Intrinsically Motivated Objectives
Fourth-year engineering research projects
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Jonathan Zhou
Adversarial Patrolling via Modified Shepherding
OutputAdversarial Patrolling Using a Shepherding Approach · IEEE SMC · 2024
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Joseph Thomas
Effect of Inter-Agent Communication on Reinforcement Learning Pathfinding in Partially Observable Environments
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Rana U. Riaz
Curriculum-Based Deep Reinforcement Learning for Autonomous AlphaDogFight Air-to-Air Combat
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Rana M. Hasan
Deep Reinforcement Learning for Humanoid Robot Navigation in Unknown Environments
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David King
Autonomous Learning of Swarm Countermeasures: An Evolutionary Neural Network Approach
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Simon Halabi
Conversational AI Approach for Conversing Sheep States from Simulated Data
Undergraduate (CDF) engineering research projects
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Chris Wise
Developing Decentralised Resilience to Malicious Influence in the Collective Perception Problem
OutputDeveloping Decentralised Resilience to Malicious Influence in Collective Perception Problem · arXiv:2211.03063 · 2021
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Viet Hoang Le
Object Detection and Tracking on Limited-Hardware Robots
OutputDeep Learning Based Detection of High Similarity Objects on Limited Hardware Robots · IEEE SSCI · 2022
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Rana Usama Riaz
Humanoid Navigation with DRL-Based Visual SLAM; Reinforcement-Learning Shepherding on a Diddyborg UGV
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Brandon Colelough
Shepherd’s Eye Project