On 7th May 2026, first-year PhD researcher Clarizze Cuntapay, supervised by Dr Xinwei Wang and Dr Jun Chen at Queen Mary University of London, presented her research at the 2026 Digital Environment Research Institute (DERI) Research Day, themed From Foundations to Societal Impact.

Clarizze showcased a poster presenting her recent work on the development of a machine learning-based regression framework for predicting airport turnaround times from an airside operations perspective. The research aims to support more efficient and data-driven airport operations through the application of artificial intelligence techniques.

The DERI Research Day celebrated the growing role of AI across a broad range of disciplines, including transport, healthcare, and AI-related legislation. The event programme featured keynote speeches, lightning talks, poster presentations, demonstrations, and panel discussions involving both academic researchers and industry professionals. These sessions encouraged dialogue on how AI can be responsibly and effectively integrated into research and wider society.

The event brought together attendees from across the university community, including undergraduate and postgraduate students, postdoctoral researchers, and academic staff. The diverse audience created an engaging environment for interdisciplinary discussion and knowledge exchange.

This event was a valuable opportunity for discussion of Clarizze’s current PhD work and was a beneficial platform for sharing ideas with her peers and gathering key insights from professionals. The poster generated positive reception and, importantly, stimulated constructive discussions to help inform future developments in the project.

Overall, the event successfully showcased the breadth of research being conducted at Queen Mary University of London and highlighted the diverse ways in which AI is being applied across disciplines to address significant real-world challenges.