Climate and Environment

Introduction

This group focuses on AI-driven approaches to address critical challenges in climate change, environmental sustainability, and ecosystem services assessment, advancing Net Zero solutions.

Their research encompasses urban heat island (UHI) mitigation, urban water regulation, energy consumption reduction and biodiversity conservation. By integrating advanced AI techniques, we enhance environmental modelling, extreme climate simulation, and hazard forecasting, ensuring more accurate and efficient solutions.

Beyond developing AI algorithms, we are dedicated to delivering scalable, transferable, and deployable system-level solutions that drive measurable progress toward Net Zero goals, fostering a more sustainable and resilient future for both people and nature.

Research areas

• Urban Digital Twins
• Environment Engineering and modelling
• GeoAI and AI-based modelling
• AI Algorithm and Computing System
• Deployable AI Systems

Aims of the interest group

This Interest Group (IG) aims to go beyond AI algorithm development and models by delivering applicable, scalable, and deployable system-level solutions that drive sustainable transformations in both the environment and society. We create a collaborative space to foster interdisciplinary efforts in climate change adaptation and ecosystem resilience, utilising AI-based methods to bridge expertise across multiple domains to address pressing urban challenges.

Recent events run by the interest group 

• Grant Application for EPSRC Global Collaboration Grant Jan.2023 (shortlisted to the final stage)
• IG group workshop across departments on 3 June 2023
• Workshop of using AI for Climate Change - Jan.2024
• IG work overview and discussion for next year’s research agenda on 16 Dec 2024.

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