📅 Wednesday 12th November 2025 | 🕐 13:00–14:00
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This talk introduces a novel computational framework that helps architects optimise green wall designs. Drawing on lab experiments, light simulations, and artificial neural networks, Rawan presents a machine-learning-based tool that predicts the CO₂ reduction capacity of green walls in indoor environments.
About the Speaker
Rawan Jafar is a researcher in Architecture at Cardiff University, where her research investigates the use of machine learning and evolutionary algorithms to optimise the environmental performance of green walls. Her work bridges computational design, environmental simulation, and indoor air quality, aiming to create performance-driven strategies for sustainable architecture. With a background in teaching and practice across the UK and the Middle East, Rawan integrates digital tools, passive design strategies, and nature-based systems into her research and pedagogy.