Chantelle Amoako-Atta
AI for Climate-Resilient Offshore Wind in Ireland
Extending ECMWF’s Anemoi AI forecasting system to predict wind extremes in Irish waters, and linking them to structural fatigue models so offshore wind farms stay reliable as the climate changes.
Supervised by Andrew Parnell & Abdollah Malekjafarian
Lainey Ward
AI-driven Seasonal Forecasting for Compounding Flood–Drought Events
Forecasting “hydrological whiplash”, floods and droughts in quick succession, weeks to months ahead, to protect water resources and Ireland’s peatland carbon sinks.
Supervised by Fiachra O’Loughlin & Conor Sweeney
Asrit Ganti
Physics-Informed AI Linking Local Sensors to Ecosystem Carbon Fluxes
Connecting root cameras, soil probes and field surveys to ecosystem-scale greenhouse gas measurements, so Ireland can track carbon in peatlands more accurately.
Supervised by Richard Nair & Matthew Saunders
Yanfeng Wang
AI-driven Security Assessment of Multi-Energy Systems
Building AI tools that test how renewable-based energy systems cope with storms, droughts and wildfires, keeping a greener grid secure.
Supervised by Jin Zhao & Ian Donohue
Purity Biwott
Designing User Interfaces for Climate Action Models
Working with policymakers, climate scientists and machine learning experts to design intuitive, explainable interfaces that make complex climate models usable for real decisions.
Supervised by Emma Murphy & Dympna O’Sullivan
Raja Prabha Poolpandy
Climate Risk Modelling & Adaptive Infrastructure Planning
Combining GIS, remote sensing and AI to map climate risks to Ireland’s transport, energy and water networks, and to plan low-carbon adaptation.
Supervised by Ciara Ahern
Quentin Cordeau
Carbon Accounting in Ireland’s Afforested Peatlands
Integrating field monitoring with spatio-temporal models to sharpen carbon emission estimates from forested peatlands and guide land-use decisions.
Supervised by James Sweeney
Tiwaloluwa Onibonoje
Underwater and Floating Data Centres: An Environmental Law Analysis
Examining the international, EU and Irish law around placing data centres in offshore renewable energy parks, balancing low-carbon computing with marine protection.
Supervised by Goran Dominioni & Edoardo Celeste
Reza Sarkhosh
Physics-Informed Neural Networks for Water Resilience
Blending physical laws with deep learning to build trustworthy models that help protect Ireland’s water systems against climate extremes.
Supervised by Muhammad Intizar Ali
Ling Zhai
AI for Sustainable Finance and Biodiversity Risk
Using AI to help investors and lenders understand and price biodiversity and climate risk, steering capital towards nature-positive decarbonisation.
Supervised by John Garvey
Shae Tjong
Ecosystem Stability Under Change
Investigating the interactions that keep ecosystems stable and resilient, bringing a background in theoretical and computational physics to ecology.
Supervised by Ian Donohue
