Monthly Archives: May 2026

New paper: Heat Stress Prediction in Glasgow: Integration of Historical Data With Machine Learning Models

We are glad to share a new open-access paper led by doctoral researcher Newsha Modjrian, published in Transactions in GIS. The study investigates how vegetation and built form shape urban heat stress in Glasgow, combining historical geospatial data, machine learning, and microclimate simulations to assess the thermal impacts of different greening scenarios on vacant and derelict […]

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New paper: Making waves: A conceptual framework exploring how large language model-based multi-agent systems could reshape water engineering

We are happy to share a new open-access paper led by doctoral researcher Seyed Hossein Hosseini, published in Water Research. The study presents a conceptual framework for integrating Large Language Model-based Multi-Agent (LLM-MA) systems into water engineering, exploring both the opportunities these systems offer and the challenges that come with them. Water engineering is inherently complex. […]

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