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Research Themes

From cleaner transport and smarter energy systems to protecting biodiversity and reducing the environmental impact of AI itself, SustAI research addresses challenges that affect how we live, work and use the planet’s resources.
Our five research themes give PhD students the opportunity to apply artificial intelligence to questions spanning transport and logistics, energy and buildings, operations and resource efficiency, the natural environment and the sustainability of AI itself. They provide a starting point for exploring where your interests, experience and ideas could make a difference.

AI for transport and logistics

Helping people and goods move around in smarter ways

Transport systems need to become cleaner and more efficient without making travel, trade or everyday life less accessible.
SustAI projects explore how AI could reduce congestion, lower emissions and improve the way people and goods move. Research areas include intelligent intersection management for connected and autonomous vehicles, dynamic bus routing, ride sharing, personalised electric vehicle charging and digital twins that help optimise shipping routes.
The questions extend beyond finding the fastest journey. Students consider how different decisions affect energy demand, infrastructure, cost, access and the wider transport system.
Route optimisation
Autonomous systems
Manufacturing systems
Freight logistics

AI for sustainable energy and buildings

Using energy when and where it works best

Smart grids
Energy forecasting
Building performance
Renewable energy systems
Energy management

AI for sustainable operations and circular economy

Using resources more intelligently

Some of the most valuable sustainability gains begin with practical improvements: predicting demand more accurately, preventing equipment failure or understanding where resources are being lost.
Across manufacturing, operations and supply chains, SustAI students investigate how AI can improve efficiency, reduce waste and help organisations make better use of resources. Projects may involve predictive maintenance, carbon tracking, demand forecasting, resource planning and identifying emissions within complex urban or industrial environments.
By helping businesses understand their systems more clearly, AI can support decisions that reduce environmental impact while improving resilience and efficiency.
Potential research areas:
Resource optimisation
Waste reduction
Manufacturing systems
Supply chains
Circular economy models

AI for the natural environment

Better visibility of hidden habitats

Protecting biodiversity depends on understanding how natural environments are changing. Yet forests, rivers, farmland and marine ecosystems are vast, complex and often difficult to monitor consistently.
SustAI students explore how AI, robotics and environmental data can reveal patterns that would otherwise be difficult to see. Research includes identifying and counting species from sound and video, monitoring landscapes and waterways, and developing models that deepen our understanding of ecosystems.
These insights can help people make better-informed decisions about conservation, biodiversity and sustainable land and resource management.
Potential research areas:
Environmental monitoring
Conservation
Species tracking
Remote sensing
Climate resilience

Sustainable AI

Making technology part of the solution

AI can help address sustainability challenges, but the technology also has an environmental impact of its own. As its use grows, so do concerns about the electricity, water, computing infrastructure and resources needed to support it.
SustAI students explore how that impact can be measured and reduced.
Research includes developing smarter algorithms that need less computing power, exploring new nano-electronic technologies and designing more efficient hardware.
Projects range from developing new computer chips using Southampton’s clean room facilities to finding ways for AI to run on small, low-power devices rather than large, energy-intensive servers.
This fifth theme focuses directly on the environmental impact of AI: if the technology is going to play an increasingly important role in creating more sustainable solutions, how do we make sure its own footprint is reduced too?
Potential research areas:
Energy-efficient AI
Responsible AI
AI governance
Fairness and transparency
Sustainable computing

One challenge rarely has one answer

The five themes provide starting points, not boundaries. A project focused on transport may also involve energy, behaviour or infrastructure. Research into manufacturing could raise questions about supply chains, economics and access, while work in the natural environment may depend on advances in robotics, sensing and sustainable computing.
SustAI students are encouraged to look across disciplines, to examine the wider system and follow the connections that make their research more relevant.
You may arrive with a clear interest in one theme or with a question that sits between several. The integrated PhD gives you time to build your knowledge, explore different possibilities and develop a research direction that reflects both your expertise and the challenge you want to pursue.