Adaptive AI for Multi-Sector Water Resource Management: Balancing Trade-Offs under Climate-Induced Extreme Events
University of Southampton is using AI to improve water resource management, balancing drought, flood, and sector trade-offs under climate extremes.
Themes: AI for the Natural Environment
Supervisor: Justin Sheffield
Adaptive In-Network Computing with Reconfigurable FPGA Switches
Explore research on adaptive in-network computing using reconfigurable FPGA switches for line-rate AI, networking performance and sustainability.
Themes: Sustainable AI
Supervisor: Aristide Akem
Adaptive Point-Process Sensing for Low-Energy Environmental Monitoring
Explore University of Southampton’s Adaptive Point-Process Sensing project for low-energy environmental monitoring, active learning and Bayesian sensing.
Themes: AI for the Natural Environment
Supervisor: Daniel Clark
Adiabatic logic for AI at the edge
Explore how University of Southampton research is using adiabatic logic to enable low-power AI/ML at the edge with flexible electronics.
Themes: Sustainable AI
Supervisor: Mark Zwolinksi
Advancing sustainable and resilient marine fisheries for the future using AI
Explore how AI and systems dynamics can help build resilient, sustainable marine fisheries and support fishing communities.
Themes: AI for the Natural Environment
Supervisor: Paul Kemp
AI Adoption in Carbon Cap-and-Trade within Supply Chains
Climate change pressures and tightening environmental regulations have led many governments to adopt carbon cap-and-trade systems as a key mechanism.
Themes: AI for Sustainable Operations and Circular Economy
Supervisor: Kelly Xu
AI for Ship Decarbonisation: Unravelling Heterogeneity, Causality, and Complexity in Fuel Consumption Prediction
Research on AI-driven ship fuel consumption prediction, causality, and interpretable modelling for sustainable maritime decarbonisation.
Themes: AI for Sustainable Energy and Buildings
Supervisor: Huanhuan Li
AI for Sustainable Digital Operations: Knowledge-Driven Decision Support for Low-Carbon Software Systems
Explore how AI can support low-carbon software systems and sustainable digital operations through knowledge-driven decision support.
Themes: AI for Sustainable Operations and Circular Economy
Supervisor: Victoria Jackson
AI modelling to prolong the life of civil engineering infrastructure
University of Southampton research using AI & statistical modelling to assess ageing infrastructure, reduce over-conservatism, and improve sustainability.
Themes: AI for Sustainable Operations and Circular Economy; AI for Transportation and Logistics
Supervisor: Kevin Briggs
AI-Assisted Risk Assessment and Decision Support for Offshore Wind Farms
Explore AI-driven risk assessment and decision support for offshore wind farms, improving maintenance, resilience, and operational efficiency.
Themes: AI for Sustainable Energy and Buildings
Supervisor: Huanhuan Li
AI-Driven design and circularity optimisation of novel hybrid composite materials
Explore how AI & machine learning accelere the design, optimisation and circularity of novel hybrid composite materials at the University of Southampton.
Themes: AI for Sustainable Operations and Circular Economy; AI for Transportation and Logistics
Supervisor: Xun Wu
AI-driven Design and Optimisation of Functional Metamaterials for Sustainable Energy Systems
Explore AI-driven inverse design of functional metamaterials for solar energy, thermophotovoltaics, cooling and smart buildings.
Themes: AI for Sustainable Energy and Buildings
Supervisor: Ruomeng Huang
AI-driven Earth System Discovery for Land Climate Resilience
Explore PhD research at the University of Southampton on AI methods to understand ecosystem resilience, carbon uptake and climate extremes.
Themes: AI for the Natural Environment
Supervisor: Songyan Zhu
AI-Enabled Predictive Analytics for Sustainable Maritime Decarbonization: Trajectory Forecasting and Alternative Fuel Optimization Using Uncertain AIS Data
University of Southampton research on AI-driven trajectory forecasting and alternative fuel optimization using uncertain AIS data for greener shipping.
Themes: AI for Transportation and Logistics
Supervisor: Patrick Beullens
AI-Enabled Sustainability Reporting and Assurance for the Circular Economy: Aligning Real-Time Supply Chain Data with Global Sustainability Reporting Frameworks.
Explore a PhD project at the University of Southampton on AI-enabled sustainability reporting and assurance for the circular economy.
Themes: AI for Sustainable Operations and Circular Economy
Supervisor: Ishmael Tingbani
AI, Information Ecosystems and Sustainable Collective Action
Explore research on how AI shapes attention, environmental salience, and collective action for sustainability at University of Southampton.
Themes: AI for the Natural Environment; Sustainable AI
Supervisor: Antonella Ianni
An AI Co-Pilot for Low-Carbon, Long-Life Infrastructure: Uniting Durability, Structure, and Sustainability
Explore how AI can unite durability, structural performance and sustainability to decarbonise concrete construction at University of Southampton.
Themes: AI for Sustainable Operations and Circular Economy
Supervisor: Ye Li
An AI-Supported Mechanical Testing Protocol for Accelerating Materials Qualification
Our vision is to accelerate high-fidelity validation of new, more durable materials, reducing material usage, increasing resource efficiency.
Themes: AI for Sustainable Operations and Circular Economy
Supervisor: Bo Chen
Automated Search for Energy-efficient Circuits using AI and Formal Methods
University of Southampton research on combining lightweight AI-guided search and formal methods to discover provably correct, energy-efficient hardware designs.
Themes: Sustainable AI
Supervisor: Philippos Papaphilippou
Balancing the benefits and risks of beaver rewilding in UK rivers
Explore research on balancing the ecological benefits and risks of beaver rewilding in UK rivers with field data, modelling and AI.
Themes: AI for the Natural Environment; Sustainable AI
Supervisor: Vicky Dominguez Almela
Biodegradable Flexible Soil Impedance Sensors with AI Co-Supervision for Sustainable Precision Agriculture
Explore University of Southampton’s biodegradable flexible soil impedance sensors with AI co-supervision for sustainable precision agriculture.
Themes: AI for the Natural Environment
Supervisor: Abiodun Komolafe
Cross culture climate resilience support for ageing-in-place at home
Research on personalised, culturally responsive climate resilience support for older adults ageing at home, using mixed-methods AI and co-design.
Themes: AI for Sustainable Energy and Buildings
Supervisor: Stephanie Gauthier
Data-driven modelling of urban air pollution
Explore research on data-driven urban air pollution modelling at the University of Southampton, using sensors, machine learning and fluid dynamics.
Themes: AI for the Natural Environment
Supervisor: Christina Vanderwel
Deep Learning for Predicting Defects in Semiconductors Manufacturing
Explore a PhD project at the University of Southampton using AI to predict semiconductor defects, improve yield and accelerate fabrication.
Themes: AI for Sustainable Operations and Circular Economy
Supervisor: Yasir Noori
Designing Low-Power Digital Integrated Circuits for Machine Learning-Based Signal Processing
University of Southampton research on ultra-low-power digital integrated circuits for machine learning-based signal processing and sustainable AI.
Themes: Sustainable AI
Supervisor: Majid Zamani
Energy-Efficient Human-centred Multimodal AI System for Sustainable Smart-home Living
University of Southampton PhD project on an energy-efficient, human-centred multimodal AI system for sustainable smart-home living.
Themes: AI for Sustainable Energy and Buildings
Supervisor: Tan Viet Tuyen Nguyen
Energy-Efficient Verification of Privacy-Preserving AI with Hardware Acceleration
Explore hardware-accelerated, energy-efficient verification of privacy-preserving AI using differential privacy, machine unlearning and zero-knowledge proofs.
Themes: Sustainable AI
Supervisor: Basel Halak
Event-based computing for real-time computer vision systems
Explore University of Southampton research on event-based computing for real-time computer vision systems with ultra-low-power, DVS-free AI hardware.
Themes: Sustainable AI
Supervisor: Firman Simanjuntak
Experimental Research on Optimising Energy Consumption of Autonomous EVs
Explore experimental research on connected and autonomous systems to reduce electric vehicle energy use without compromising travel time.
Themes: AI for Transportation and Logistics; AI for Sustainable Energy and Buildings
Supervisor: Anil K Madhusudhanan
Explainable and predicable building operation and maintenance optimisation
Research on explainable, predictive building operation and maintenance optimisation for cost-effective retrofit, energy savings and carbon reduction.
Themes: AI for Sustainable Energy and Buildings
Supervisor: Stephanie Gauthier
Explainable artificial intelligence-based digital twins for optimal renewable energy harvesting under inherent uncertainty
Explore University of Southampton research on explainable AI-based digital twins for optimal renewable energy harvesting under uncertainty.
Themes: AI for Sustainable Energy and Buildings
Supervisor: Tanmoy Mukhopadhyay
Explainable stochastic decision intelligence for future energy market design
Explore University of Southampton PhD research on explainable AI, stochastic optimisation and future energy market design under uncertainty.
Themes: AI for Sustainable Energy and Buildings; AI for the Natural Environment
Supervisor: Hongyu Zhang
Fairness in AI for Transport
Explore how University of Southampton research is tackling bias, fairness and equity in AI for transport and logistics.
Themes: AI for Transportation and Logistics
Supervisor: Agnieszka Stefaniec
Improving the Sustainability of Non-Emergency Hospital Transport
Research at the University of Southampton on shared hospital transport, routing, pricing and sustainability for staff, visitors and patients.
Themes: AI for Transportation and Logistics
Supervisor: Christine Currie
Large Language Models for Illegal Wildlife Trade Monitoring
Explore how multimodal large language models can help monitor illegal wildlife trade and support conservation and law enforcement efforts.
Themes: AI for the Natural Environment
Supervisor: Stuart Middleton
Low-powered FPGA Technologies for Energy-Efficient Wearable medical devices
Explore how University of Southampton research uses low-powered FPGA technologies to enable energy-efficient AI for wearable medical devices.
Themes: Sustainable AI
Supervisor: Ernesto Elias Vidal Rosas
Machine learning for energy demand optimization in sub-Saharan Africa mini-grid systems
Explore University of Southampton research on machine learning for energy demand optimisation in sub-Saharan Africa mini-grid systems.
Themes: AI for Sustainable Energy and Buildings
Supervisor: AbuBakr Bahaj
Machine learning for optimization of energy supply in UK commercial buildings
Explore how University of Southampton research is using machine learning to optimise solar energy supply and returns in UK commercial buildings.
Themes: AI for Sustainable Energy and Buildings
Supervisor: Stephanie Gauthier
Nanostructured Artificial Synapse Architectures for Sustainable Neuromorphic Computing
Explore sustainable neuromorphic computing research at the University of Southampton, developing nanostructured artificial synapses for energy-efficient AI.
Themes: Sustainable AI
Supervisor: Dimitra Georgiadou
Neurosymbolic Machine Learning for Distributed Fibre Optic Sensing (DFOS)
Explore a PhD in neurosymbolic machine learning for DFOS at University of Southampton, advancing sustainable AI, environmental monitoring and event detection.
Themes: Sustainable AI; AI for the Natural Environment; AI for Transportation and Logistics
Supervisor: Rafael Mestre
Optoelectronic AI processors for Cryogenic and Space Electronics
Explore University of Southampton’s optoelectronic AI processors project for cryogenic and space electronics, using memristor and optomemristor technology.
Themes: Sustainable AI
Supervisor: Firman Simanjuntak
Performance-based Generative Design for Housing
AI-assisted generative design research for sustainable housing, combining optimisation, simulation and performance prediction to improve carbon, comfort and health.
Themes: AI for Sustainable Energy and Buildings
Supervisor: Masoud Sajjadian
Physical AI for sustainable robots
Explore University of Southampton’s Physical AI for sustainable robots project developing soft, biodegradable computing for electronics-free robotic control.
Themes: Sustainable AI; AI for Sustainable Operations and Circular Economy
Supervisor: Hareesh Godaba
Physics-Aware Generative AI for Safe and Efficient Ammonia-Hydrogen Marine Energy Systems
University of Southampton research on physics-aware generative AI for safe, efficient ammonia-hydrogen marine propulsion and net-zero shipping.
Themes: AI for Sustainable Energy and Buildings; AI for Transportation and Logistics
Supervisor: Kang Ren
Predicting the Skies for Perpetual Flight
Explore University of Southampton’s research on predictive soaring technologies for UAVs, atmospheric sensing, and zero-carbon perpetual flight.
Themes: AI for Transportation and Logistics; Sustainable AI
Supervisor: Bahareh Zaghari
Predictive Thermal Management for Electric Vehicle Battery Packs
Explore University of Southampton research on AI-driven thermoelectric battery thermal management for safer, longer-lasting electric vehicles.
Themes: AI for Transportation and Logistics; AI for Sustainable Operations and Circular Economy
Supervisor: Richard Wills
Realizing Green Electrification in Transportation with AI Support
AI-enabled smart predict-then-optimize research for greener road freight electrification, fleet planning, charging, and policy insights.
Themes: AI for Transportation and Logistics
Supervisor: Fangsheng Ge
Resilience Verification of Autonomous Vehicle Systems for Sustainable Smart Mobility
Explore how formal methods can verify safe, trusted, and sustainability-bounded resilience in autonomous vehicle systems for smart mobility.
Themes: AI for Sustainable Operations and Circular Economy
Supervisor: Asieh Salehi Fathabadi
Resilient Resource Allocation in Dynamic Settings under Uncertainty (RRADSU)
Explore RRADSU at the University of Southampton: fair, efficient and resilient resource allocation in dynamic, uncertain settings.
Themes: AI for Transportation and Logistics
Supervisor: Bahar Rastegari
Resource-efficient lifelong robot learning
Explore University of Southampton research on sustainable AI and resource-efficient lifelong robot learning for on-device continual learning.
Themes: Sustainable AI
Supervisor: Muhammad Burhan Hafez
Revealing hidden signatures of coastal emergency landscaping
Discover how AI and causal machine learning can reveal hidden signatures of coastal emergency landscaping and improve hazard impact prediction.
Themes: AI for the Natural Environment
Supervisor: Eli Lazarus
Revising the processing–microstructure–properties–performance (PMPP) paradigm to include sustainability
University of Southampton research on using AI and physical models to improve sustainable alloy design, additive manufacturing, and circular economy outcomes.
Themes: AI for Sustainable Operations and Circular Economy
Supervisor: Justin Sheffield
Safeguarded AI for a Sustainable Power Grid
Explore research on safeguarding decentralised AI agents in power systems to improve grid resilience, renewable integration and Net Zero progress.
Themes: AI for Sustainable Energy and Buildings
Supervisor: Erisa Karafili
Sensors that see and think: Sustainable AI hardware with ultrathin semiconductors
Explore how University of Southampton is using AI and high-throughput testing to accelerate sustainable materials development and improve durability.
Themes: Sustainable AI
Supervisor: Soumya Sarkar
Smart AI "Predict-then-Optimise" in Maritime Logistics
University of Southampton research on Smart AI Predict-then-Optimise for maritime logistics, combining deep learning with optimisation for emissions compliance.
Themes: AI for Transportation and Logistics
Supervisor: Chao Zheng
Statistical machine learning and uncertainty quantification to develop of a decision support tool for offshore wind foundation installation
Explore University of Southampton research using machine learning and uncertainty quantification to optimise offshore wind foundation installation.
Themes: AI for Sustainable Operations and Circular Economy; AI for Transportation and Logistics
Supervisor: Benjamin Cerfontaine
Statistically-guided Deep Active Learning for Sustainable Large Language Model Training
Explore University of Southampton research on reducing GPU use in large language model training with statistically guided deep active learning.
Themes: Sustainable AI
Supervisor: Stuart Middleton
Submodularity-based Computational Sustainability for Remotely Sensed Data
Explore University of Southampton research using submodular optimization and remote sensing to create interpretable, scalable sustainability maps.
Themes: AI for Sustainable Operations and Circular Economy; AI for the Natural Environment; AI for Transportation and Logistics
Supervisor: Andersen Ang
Sustainability Integration in Energy Infrastructure Project Prediction: Extending greyfly.ai’s Intelligent Project Prediction Platform.
University of Southampton research on extending greyfly.ai’s project prediction platform for sustainable energy infrastructure and AI-driven sustainability metrics.
Themes: AI for Sustainable Energy and Buildings; AI for Sustainable Operations and Circular Economy
Supervisor: Nicholas Dacre
Sustainable architectures and fast training approaches for large language models
Explore the Sustainable AI PhD project at the University of Southampton, focused on efficient LLM architectures, compression, and faster training.
Themes: Sustainable AI
Supervisor: Zhanxing Zhu
Sustainable Bayesian Emulation and Uncertainty Quantification for Differential Equation Models in Healthcare and Climate Modelling
University of Southampton PhD project on Bayesian emulation, uncertainty quantification and multi-fidelity methods for healthcare and climate differential equation models.
Themes: Sustainable AI; AI for the Natural Environment
Supervisor: Mihaela Paun
Sustainable Generative AI Models
Research on energy-efficient generative AI models, focusing on faster inference, smaller model sizes, and lower-carbon deployment.
Themes: Sustainable AI
Supervisor: Zhiwu Huang
Sustainable Interactive Information Access for Recycling (STAIR)
Explore the STAIR project at the University of Southampton, using AI and interactive information access to improve recycling and waste sorting.
Themes: AI for Sustainable Energy and Buildings; Sustainable AI; AI for Sustainable Operations and Circular Economy
Supervisor: Ian Williams
Sustainable production line using Digital Twin
Explore University of Southampton research on a human-centric digital twin for sustainable manufacturing, optimisation, and worker support.
Themes: AI for Sustainable Operations and Circular Economy
Supervisor: Stephan Onggo
Sustainable Semiconductors Manufacturing via AI Optimization Algorithms
Explore a PhD project at the University of Southampton using AI to improve semiconductor manufacturing, reduce defects, and boost sustainability.
Themes: AI for Sustainable Operations and Circular Economy; Sustainable AI
Supervisor: Yasir Noori
SustSim: Sustainable AI for Scientific Simulation and Design of Deformable Systems
Explore SustSim, a University of Southampton project on sustainable AI for scientific simulation and inverse design of deformable systems.
Themes: Sustainable AI
Supervisor: Zhanxing Zhu
Synthetic Data as an Enabling Medium for Decarbonising Sustainable Smart Buildings
Explore how synthetic data can enable privacy-preserving AI for sustainable smart buildings, helping decarbonise operations and improve energy decisions.
Themes: AI for Sustainable Energy and Buildings;#Sustainable AI
Supervisor: Han Wu
Techno-economic modelling of sustainable data centre integration in the European energy system
Explore a University of Southampton PhD on modelling sustainable data centre integration in Europe’s energy system and net-zero transition.
Themes: AI for Sustainable Operations and Circular Economy
Supervisor: Hongyu Zhang
Towards a Sustainable Global Food Supply through Geospatial Intelligence and Deep Reasoning
Explore a PhD project at the University of Southampton using geospatial intelligence, deep reasoning and AI to monitor global food supply sustainability.
Themes: AI for the Natural Environment; Sustainable AI
Supervisor: Songyan Zhu
Truth or Greenwash? Strategic Disclosure and AI Auditing in Sustainable Operations
Explore how AI-powered auditing can detect greenwashing and improve credible sustainability disclosure in university research on sustainable operations.
Themes: AI for Sustainable Operations and Circular Economy
Supervisor: Fangsheng Ge
Using AI to advance environmental monitoring of freshwater ecosystems
Explore how University of Southampton is using AI to improve environmental monitoring and protect freshwater ecosystems.
Themes: AI for the Natural Environment
Supervisor: Paul Kemp
Using AI to Improve Sustainability and Efficiency in Maritime Integration Testing
Explore how AI can improve sustainability, energy efficiency, and integration testing in maritime defence at the University of Southampton.
Themes: AI for Transportation and Logistics; AI for Sustainable Energy and Buildings
Supervisor: Huan Yu
Why Disclosure Fails: Environmental Accountability and the Politics of Reporting in Machine Learning
University of Southampton research page on why environmental disclosure in machine learning keeps failing and what credible AI accountability requires.
Themes: Sustainable AI
Supervisor: James Baker
Wildfire Detection using Aerial Swarms
Explore PhD research at the University of Southampton on UAV swarms for real-time wildfire detection, mapping, and forecasting.
Themes: AI for the Natural Environment
Supervisor: Mohammad Soorati