Rawan holds a PhD in Architecture from Cardiff University. Her doctoral research, “A Framework for Optimising the CO₂ Reduction Performance of Green Walls Using Machine Learning and Evolutionary Algorithms,” developed a data-driven approach to enhancing indoor air quality through computational simulation, artificial intelligence, and multi-objective optimisation. Her work explores the intersection of plant performance, environmental conditions, and architectural design, aiming to bridge controlled experimental research and real-world application.
She has contributed to interdisciplinary research projects on digital twins, energy modelling, and healthy homes, collaborating with academic and industry partners to advance evidence-based strategies for improving indoor environmental quality and wellbeing.
Her current research and teaching extend these interests into computational design, sustainable building technologies, and performance-driven architecture.
