Eirini Tsouknida
Research interests
My research investigates how multimodal occupancy modelling, by integrating neurocognitive signals, can better represent real human behaviour in buildings and address the gap between predicted and actual performance. It moves beyond static or simplified occupancy assumptions by capturing collective and dynamic patterns of occupant interaction, enabling a more realistic understanding of how buildings are used in practice.
A central aim of this work is to improve energy efficiency, occupant comfort, and operational accuracy through the development of evidence-based, human-centred modelling approaches. This involves engaging with the ethical, technical, and practical challenges associated with real-world deployment, and considering how such methods can be responsibly integrated into design and operational workflows. Overall, the research supports design and operational strategies that align building performance with actual patterns of use, contributing to the long-term decarbonisation of the built environment.
Background
I am an Architect, holding a Master’s degree in Computational Urban Design from The Bartlett School of Architecture, UCL. My professional experience spans complex, multidisciplinary projects across the UK, Southern Europe, and the Middle East, and includes roles at Jacobs Solutions Inc. and Hoare Lea LLP. In these positions, I worked at the intersection of architecture, digital modelling, and environmental analytics, contributing to performance-driven design approaches and tools that support sustainable design and delivery in practice.
Alongside professional practice, I have contributed to academia through teaching and mentoring at UCL and the University of Southampton. My work has been showcased internationally, including at the Venice Biennale and ARS Electronica. I am currently a PhD student in the Department of Engineering at Cambridge University.