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SPADS CDT
EPSRC and MoD CDT in Sensing, Processing, and AI for Defence and Security
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Autonomous Sensing Platforms
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Automatic signals intelligence analysis (Roke)
Autonomy Counter-Counter Measures (Leonardo)
Developing a general-purpose, hardware-friendly vision pipeline using mixed machine-learning and symbolic AI methods (STMicroelectronics)
Enhancing spin-based quantum sensors with machine learning
Exploring foundational models for decision making in autonomous robots
Loco-manipulation robot for surveillance in unstructured, hostile environment
Machine learning for position location (AMD)
Motion information for fast and efficient video understanding
Online learning based control for robotic agents in complex, dynamic environments
Robust non-linear state-space modeling: From filtering to deep learning approaches (Leonardo UK)
Verifiable deep learning for trustworthy AI
2025 Cohort
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Development of energy-efficient materials/devices for quantum storage
Development of spiking architectures using Bayesian deep learning
Differentiable physics engine for multi-robot loco-manipulation
Digital Twins and Autonomous Systems (DSTL)
High-resolution Object Detection in the Sea Clutter Environments (SAAB Systems)
High-speed Digital Interconnect for Radar (Leonardo UK)
Learning to monitor neural networks: self-aware AI systems for production manufacturing (STMicroelectronics)
Neural Architecture Search for Defence and Security
On-Board Machine Learning for Satellite Cybersecurity
Physics-informed neural networks for 3D reconstruction from sonar signals (DSTL)
Recovering 4D structure from drone video
Zero-shot coordination
2026 Cohort
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Adaptable AI in the Wild for Defence and Security
Adaptive Multiagent Decision Making in Multi-Sensor Platforms (Thales)
Adaptive mission planning and enactment for autonomous vehicle control
Bayesian Machine Learning on Strategically Manipulated Data
Bayesian transfer learning for underwater signals
Collaborative Situational Awareness through Geospatial Intelligence
Developing Object-centric Vision and Language Foundation Models for Robust Autonomous Sensing Platforms
Distributed Information Fusion (Dstl)
Explainable Speech Deepfake Detection
Fusion of multiple sources of evidence using Bayesian chain event graphs (Dstl)
Machine Learning in Dynamical Systems for Sensor Signal Processing
Neuromorphic computing for 3D imaging with single-photon Lidars (Dstl)
Quantum Algorithms for Information Processing and Sensor Management
Reconfigurable DNA-based bioelectronics (Dstl)
Resilient PNT as a Service using multi-orbit satellite signals of opportunity (Dstl)
Robust object tracking in cluttered underwater environments (Dstl)
Sensor Fusion and Management in Autonomous Airborne Platforms (Leonardo)
Soft Everting Robots for Exploration, Mapping, and Manipulation in Extreme, Confined Environments (Dstl))
Textile-integrated electrochemical wearables with edge AI for on-body heat-strain monitoring
Toward machine olfaction: a new ISR modality
Magnetic reservoir based energy-efficient computing
Research Themes
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Autonomous Sensing Platforms
Multi-agent Systems and Data Intelligence
Novel Computing and Beyond-CMOS hardware
Sensor Signal Processing
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Student Profile - PK 2024 Cohort
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This article was published on
2026-06-15
