Qiuchen Lu

Professor Qiuchen Lu is Professor at University College London. Her research integrates digital twins, AI and informatics to advance smart, sustainable and resilient cities under climate change. She has secured funding from Engineering and Physical Sciences Research Council and Royal Academy of Engineering, and holds a prestigious RAEng/Leverhulme Fellowship (2024/25). She is also a United Nations Office for Disaster Risk Reduction IRDR Young Scientist. She has published over 75 papers and four books, and developed the Five-layer Multi-scale Digital Twin Theory (FMDTT), widely adopted across infrastructure sectors. She serves as International Collaboration Coordinator for European Group for Intelligent Computing in Engineering. 

As a DAFNI Fellow, she will advance human-centred AI for climate-resilient infrastructure. Building on the IMPACT project, she will develop an integrated Road–Sewer–Human digital twin with industry partners to model interdependent risks across transport, water and flooding systems in London. She will establish a national resilience collaboration network linking leading UK universities, organise workshops with academia, industry and government, and promote open data and computational skills. Internationally, she will strengthen partnerships to position DAFNI as a global leader. Her fellowship will deliver interdisciplinary innovation, support UK climate resilience priorities, and enable scalable, data-driven decision-making for future cities.