#Publications

Peer-reviewed Journal Papers
J Pan, TY Cho, M Sun, K Steemers, R Bardhan. Environmental and spatial dynamics in a flexible workspace for hybrid work: A data-driven design framework. Building and Environment. 2025
QC Wang, M Sun, X Liu, F Tao, D Yang, R Bardhan. Reflecting City Digital Twins (CDTs) for sustainable urban development: Roles, challenges and directions. Digital Engineering. 2025
M Sun, R Bardhan. Identifying Hard-to-Decarbonize houses from multi-source data in Cambridge, UK. Sustainable Cities and Society. 2024
J Pan, TY Cho, M Sun, R Debnath, N Lonsdale, C Wilcox, R Bardhan. Future workspace needs flexibility and diversity: A machine learning-driven behavioural analysis of co-working space. Plos One. 2023
A Salazar-Miranda, F Zhang, M Sun, P Leoni, F Duarte, C Ratti. Smart curbs: Measuring street activities in real-time using computer vision. Landscape and Urban Planning. 2023
Z Fan, T Su, M Sun, A Noyman, F Zhang, AS Pentland, E Moro. Diversity beyond density: Experienced social mixing of urban streets. PNAS nexus. 2023
T Su, M Sun, Z Fan, A Noyman, A Pentland, E Moro. Rhythm of the streets: A street classification framework based on street activity patterns. EPJ Data Science. 2022
M Sun, F Zhang, F Duarte, C Ratti. Understanding architecture age and style through deep learning. Cities. 2022
Working Papers
M Sun, C Hou, Q Li, F Zhang, R Bardhan, Q Zhao. Deciphering Exterior: Building Energy Efficiency Prediction with Emerging Urban Big Data. Under Review
Peer-reviewed Conference Papers
M Sun, F Zhang, F Duarte. Automatic building age prediction from street view images. 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC). 2021