Networks that hold together in difficult places.
Pervasive computing, motion planning and underwater wireless sensor networks, with an emphasis on work that has direct human use. Six active themes, one common question: how does a system stay reliable when the environment refuses to cooperate?
Six directions.
One system of inquiry.
Each theme is a node in a wider programme concerned with reliable intelligence in difficult physical environments.
IoT and context-aware systems embedded in real places.
Resilient routing, topology, deployment and scalable control.
Communication, routing and autonomy below the surface.
Robot navigation and bio-inspired optimisation.
WiFi, camera-based localisation and hybrid positioning.
Intelligent tools supporting research in the built environment.
Wireless sensor networks
Resilient sensing, routing and deployment — protocols and topology control for networks that must hold together with scarce energy, unstable links and no maintenance window. Software-defined approaches, energy-efficient opportunistic routing and scalable control all sit here.
Pervasive and connected computing
Intelligent environments, IoT and context-aware systems — computing that recedes into the background of a real place.
Wireless sensor networks
Resilient sensing, routing and deployment, including software-defined and scalable control architectures.
Underwater acoustic networks
Communication and networking in difficult underwater environments: greedy and opportunistic routing, AUV path planning, the Internet of Underwater Things.
Motion planning
Robot navigation, path planning and bio-inspired optimisation — the line that runs back to my doctoral work on foraging ant strategies.
Indoor positioning
WiFi, camera-based localisation and hybrid positioning, including pedestrian navigation and emergency rescue location.
AI for built heritage
Sensing and exploratory analysis for heritage buildings, with links to UTM KALAM — microclimate monitoring and maintenance-priority research.
Heritage Climate Data and Maintenance Priorities
A description of a study of one heritage building: the question it asks, its climate data (ERA5, 1940 to 2023), 38 inspection-based defect records, how maintenance priority is defined, and the limits of the study. It does not report model results.
MANET Security and Trust Prediction
A description of three published IEEE Access articles on trust prediction and routing in mobile ad hoc networks: the problem, what node trust means, the attacks considered, and how the two research articles were evaluated in simulation. It describes the studies only.
Network security has become a large part of what my group does: intrusion detection for mobile ad-hoc networks, trust-aware routing, federated learning for distributed defence, and drift-aware detection for industrial IoT. Several current doctoral projects sit in this space.
The other half stays physical. Positioning research needs a real, awkward space to fail in before it works anywhere — which is why the heritage-building work with KALAM matters more than it looks on paper.