Email

yuezhu@um.edu.mo

Tel

+853 8822 9279

Office

W32-G013

Consultation Hours

By Appointment

ZHU, Yue

朱玥

EDUCATION

  • PhD in Architecture, Department of Architecture, University of Cambridge, UK
  • MSc in Emergent Technologies & Design, Architectural Association School of Architecture, UK
  • MEng in Industrial Design Engineering, Tongji University, China
  • MA in International Design Business Management, Aalto University, Finland (double-degree exchange)
  • BA in Environmental Design, Tongji University, China

PROFESSIONAL EXPERIENCE

2024.10-2026.01 Postdoctoral Researcher, Future City Lab Global, Singapore-ETH Centre, Singapore

2023.01-2024.09 Postdoctoral Researcher, Institute of Environmental Engineering, ETH Zurich, Switzerland

2019.03 Visiting Scholar, Earth Observation Centre, German Aerospace Centre (DLR), Germany

RESESRCH INTERESTS

  • Urban Resilience and Climate Risk
  • Geospatial AI
  • Urban Data Analytics

  • Zhu, Y.,*Wang, J., Manoli, G., Zhang, Y., Chi, DK., Meili, N., Qiu, YS., Lin, GS., Tan, PY., Burlando, P., & Fatichi, S. (2025). Influence of Urban Form and Function on Diurnal Population Dynamics and Hazard Risk Assessments. npj Urban Sustainability, 5(1), 91.
  • Zhu, Y.,*Burlando, P., Zhang, Y., Chi, DK., Wang, J., Qiu, YS., Zou WY., Geiß, C., Tan, PY., & Fatichi, S. (2025). Influence of Urban Landscape Morphology Changes During Urban Expansion on Pluvial Flooding. Sustainable Cities and Society, 135, 107018.
  • Zhu, Y.,* Burlando, P., Tan, PY., Geiß, C.,Fatichi, S. (2025). Improving Pluvial Flood Simulations with Multi-source DEM Super-Resolution. Natural Hazards and Earth System Sciences, 1–22.
  • Chi, DK.,* Manoli, G., Lin, B., Aerts, R., Meili, N., Zhu, Y.,Qiu, YS., Wang, J., Burlando, P., Fatichi, S., Tan, PY. (2025). Residential tree canopy configuration and mortality in six million Swiss adults: a longitudinal study. The Lancet Planetary Health, 9(3), e186–e195.
  • Meili, N.,* Zheng, X., Takane, Y., Nakajima, K., Yamaguchi, K., Chi, DK., Zhu, Y.,Wang, J., Qiu, YS., Paschalis, A., Manoli, G., Burlando, P., Tan, PY., Fatichi, S. (2025). Modeling the effect of trees on energy demand for indoor cooling and dehumidification across cities and climates. Journal of Advances in Modeling Earth Systems, 17(3), e2024MS004590.
  • Zhu, Y.,* Burlando, P., Tan, PY., Blagojevic, J., Fatichi, S. (2024) Investigating the influence of urban morphology on pluvial floodwater distribution: insights from urban catchments in England (UK).Science of The Total Environment, 953, 176139.
  • Zhu, Y.,*Geiß, C., So, E. (2024). Simulating Urban Expansion with Interpretable Cycle Recurrent Neural Networks. GIScience & Remote Sensing, 61(1), 2363576.
  • Zhu, Y.,*Geiß, C., So, E., Bardhan, R., Taubenböck, H., & Jin, Y. (2024). Urban Expansion Simulation with an Explainable Ensemble Deep Learning Framework. Heliyon, 10(7).
  • Geiß, C.,* Maier, J., So, E., Schoepfer, E., Harig, S., Zapata, J. C., & Zhu, Y. (2024). Anticipating a risky future: LSTM models for spatiotemporal extrapolation of population data in areas prone to earthquakes and tsunamis in Lima, Peru. Natural Hazards and Earth System Sciences, 24(3), 1051–1064.
  • Zhu, Y.,*Geiß, C., & So, E. (2021). Image super-resolution with dense-sampling residual channel-spatial attention networks for multi-temporal remote sensing image classification. International Journal of Applied Earth Observation and Geoinformation, 104, 102543.
  • Zhu, Y.,*Geiß, C., So, E., & Jin, Y. (2021). Multi-temporal Relearning with Convolutional LSTM models for Land Use Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, PP, 1–1.
  • Geiß, C.,* Zhu, Y.,Qiu, C., Mou, L., Zhu, X. X., & Taubenböck, H. (2020). Deep Relearning in the Geospatial Domain for Semantic Remote Sensing Image Segmentation. IEEE Geoscience and Remote Sensing Letters, 1–5.

  • Zhu, Y.,*Geiß, C., & So, E. (2019). Using deep neural networks for predictive modelling of informal settlements in the context of flood risk. Journal of Physics: Conference Series, 1343, 012032.
  • Groth, S., De Leon San José, I. K., Wieland, M., Zhu, Y.,Geiß, C., Adriano, B., & Martinis, S. (2025). Using Multi-Source DEM Super-Resolution for Improved Inundation Depth Estimation. In 9th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR).
  • Zhu, Y.,*Burlando, P., Tan, P. Y., Blagojevic, J., & Fatichi, S. (2024). Exploring and Quantifying the Influence of Urban Morphology on Pluvial Flood Dynamics. In AGU Fall Meeting Abstracts, vol. 2024, no. 67, pp. GC51H-0067.
  • Qiu, Y.,* Chi, D., Meili, N., Zhu, Y.,Wang, J., McDonnell, M., & Tan, P. Y. (2024). Exploring the Impact of Urban Pattern on Avian Occurrence: A Buffer-Based Analysis Using Citizen Science Data. In AGU Fall Meeting Abstracts, 2024, No. 153, pp. B43B-153.
  • Chi, DK.,* Meili, N., Zhu, Y.,Wang, J., Qiu, YS., Li, C., Burlando, P., Fatichi, S., Lin, B., Manoli, G., Tan, PY. (2024). Associations between greenspace patterns and mortality in six million Swiss adults: a longitudinal study. In 2024 Annual Conference of the International Society for Environmental Epidemiology (ISEE).
  • Meili, N.,* Zheng, X., Chi, D., Zhu, Y.,Qiu, Y., Wang, J., … & Fatichi, S. (2023). Quantifying Vegetation Effects on Climate and Building Energy Demand in Cities. In AGU Fall Meeting Abstracts, 2023, pp. GC44F-01.
  • Zhu, Y.,* Burlando, P., J., Fatichi, S. (2023). Association between urban morphology and the spatial distribution of pluvial floodwater.UrbanRain 2023 Book of Abstracts.
  • Geiß, C.,* Maier, J., So, E., & Zhu, Y.(2023). LSTM models for spatiotemporal extrapolation of population data. In 2023 Joint Urban Remote Sensing Event (JURSE), Heraklion, Greece, 2023, pp. 1-4.