Email

yuezhu@um.edu.mo

Tel

+853 8822 9279

Office

W32-G013

Consultation Hours

By Appointment

ZHU, Yue

朱玥

EDUCATION

  • 2018–2023｜PhD in Architecture, Department of Architecture, University of Cambridge
  • 2015–2016｜MSc in Emergent Technologies & Design, Architectural Association School of Architecture
  • 2011–2014｜MEng in Industrial Design Engineering, Design & Innovation College, Tongji University
  • 2012–2013｜MA in International Design Business Management, School of Arts, Design and Architecture, Aalto University (*Double-degree exchange programme)
  • 2007–2011｜BA in Environmental Design, Design & Innovation College, Tongji University

EMPLOYMENT HISTORY

  • Postdoctoral Researcher, Future City Lab Global, “Comparative Ecology of Cities” | Singapore ETH Centre (SEC) & ETH Zurich
  • Tutor, Design studio, Master of Landscape Architecture | National University of Singapore
  • Tutor, RC18 Skills Module 3 of MArch Urban Design (36 hours) | UCL Bartlett
  • Supervisor, Master students | ETH Zurich, IfU
  • Co-supervisor, PhD & Master students | German Aerospace Centre (DLR), Earth Observation Centre
  • Architect Assistant, DaeWha Kang Design | London
  • Architect Assistant (Internship), Zaha Hadid Architects | London

RESESRCH INTERESTS

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

  • 2025 *Accepted for publication, 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 (JIF: 8.8 / Q1 in Environmental studies)
  • 2025, 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 (JIF: 4.7 / Q1 in Geosciences)
  • 2025, 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. Lancet Planetary Health (JIF: 21.6 / Q1 in Public, Environmental & Occupational Health)
  • 2025, 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 (JIF: 4.6 / Q1 in Meteorology & Atmospheric Sciences)
  • 2024, 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 (JIF: 8.0 / Q1 in Environmental Sciences)
  • 2024, Zhu, Y., Geiß, C., So, E. (2024) Simulating Urban Expansion with Interpretable Cycle Recurrent Neural Networks. GIScience & Remote Sensing (JIF: 6.9 / Q1 in Remote Sensing)
  • 2024, Zhu, Y., Geiß, C., So, E., Bardhan, R., Taubenböck, H., & Jin, Y. (2024) Urban Expansion Simulation with an Explainable Ensemble Deep Learning Framework. Heliyon (JIF: 3.6 / Q1 in Multidisciplinary Sciences)
  • 2024, 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 (JIF: 4.7 / Q1 in Geosciences)
  • 2021, 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 (JIF: 8.6 / Q1 in Remote Sensing)
  • 2021, 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 (JIF: 5.3 / Q1 in EEE)
  • 2020, 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 (JIF 4.4 / Q1 in Geochemistry & Geophysics)
  • 2023, Geiß, C., Maier, J., So, E., & Zhu, Y. (2023) LSTM models for spatiotemporal extrapolation of population data. Joint Urban Remote Sensing Event (JURSE) 2023 (Conference paper)
  • 2019, 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 (Conference paper)
  • 2025 *Under 1st round revision, 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. Under review: Sustainable Cities and Society (JIF: 12.0 / Q1 in Construction & Building Technology)
  • 2025 *Under review, Wang, J., Zhang, Y., Huang, W., Chi, D., Zhu, Y., Qiu, Y., Burlando, P., Tan, P.Y. (2025) How urban form shapes small business density: global evidence from 80 cities. Under review: Nature Cities
  • 2025 *Under review, Zou, W., Li, R., Wright, D., Blagojevic , J., Molnar , P., Hussain , M., Zhu, Y., Li, Y., Ni, G., Peleg, N. A process-informed framework linking temperature-rainfall projections and urban flood modelling. Under review: Hydrology and Earth System Sciences (JIF: 5.8 / Q1 in Geosciences, Multidisciplinary)

  • Poster presentation, Zhu, Y., Burlando, P.,Tan, PY., Blagojevic, J., Fatichi, S. (2024) Exploring and Quantifying the Influence of Urban Morphology on Pluvial Flood Dynamics. AGU 2024
  • Poster presentation, Qiu, Y., Chi, D., Meili, N., Zhu, Y., Wang, J., McDonnell, M. J., & Tan, P. Y. (2024). Exploring the impact of urban pattern on avian occurrence: A buffer-based analysis using citizen science data. AGU 2024
  • Poster presentation, Zhu, Y., Burlando, P., Geiß, C., Fatichi, S. (2024) A deep learning-based super-resolution DEM model for pluvial flood simulation. European Geosciences Union (EGU) 2024
  • Abstract contribution, 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. ISEE 2024
  • Oral & Poster presentation, Zhu, Y., Fatichi, S., Burlando, P. (2023) The association between urban morphology and pluvial floodwater distribution. Urban Rain 2023
  • Abstract contribution, Meili, N., Zheng, X., Zhu, Y., Chi, DK., Qiu, YS., Wang ,J., Manoli, G., Burlando, P., Tan, PY., Fatichi, S. (2023) Quantifying Vegetation Effects on Climate and Building Energy Demand in Cities. AGU 2023
  • Oral presentation, Zhu, Y., Meili, N. (2023) Modelling the effects of urban patterns and nature-based solution on climate and flooding in cities. Future Cities Lab Global • Conference 2023
  • Poster presentation, Schollerer, L., Geiß, C., Zhu, Y., Maier, J. (2023) Geospatial extrapolation of time-series data with deep learning. 4th Symposium on Applied Satellite Earth Observation

  • 2022, The Martin Centre Discretionary Research Fund | Department of Architecture, University of Cambridge
  • 2021, Greta Burkhill Fund | Peterhouse College, University of Cambridge
  • 2019, Kettle Yard Travel Funds | Department of Architecture, University of Cambridge
  • 2016, AAF Graduate School Prize for Design | Architectural Association School of Architecture *Awarded for exemplary work in design across all graduate programmes
  • 2008, 2009, 2010, Academic Scholarship | Design & Innovation College, Tongji University

  • Feb 2025, Seminar Talk, Department of Urban Planning and Design, University of Hong Kong
    Presentation title: Research Insights into Urban Pattern-Function Relationships
  • Sep 2024, Guest Lecture, College of Design and Innovation, Tongji University
    Presentation title: Understanding and Estimating the impact of climate-related hazards on cities
  • Feb 2024, Guest Lecture, Department of Urban Planning and Design, University of Hong Kong
    Lecture title: Scenario Planning for Urban Resilience
  • Feb 2024, Seminar Talk, Future City Lab (FCL), Singapore-ETH Centre
    Presentation title: Utilizing Machine Learning Techniques in Support of Resilient Urban Planning
  • Dec 2023, Seminar Talk, Laboratory of Urban and Environmental Systems, École Polytechnique Fédérale de Lausanne (EPFL)
    Presentation title: Machine Learning Approaches for Modelling Urban Spatial Patterns in Support of Sustainable Urban Planning Lausanne
  • Nov 2022- Present, Consultancy, 6Ltd., funded by Innovate UK, UK Research and Innovation (UKRI)
  • Sep 2019 – Jan 2023, Affiliated PhD student, Artificial Intelligence to the study of Environmental Risks (AI4ER), UKRI Centre for Doctoral Training, University of Cambridge
  • March 2019, Visiting Scholar, Geo-Risks Research Group, Earth Observation Centre, German Aerospace Centre (DLR)
  • 2019- Present, Journal Reviewer
    Sustainable Cities and Society (review times = 3)
    Scientific Data (review times = 1)
    International Journal of Applied Earth Observation and Geoinformation (review times = 1)
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (review times = 1)
    IEEE Transactions on GeoScience & Remote Sensing (review times = 1)
    IEEE Access (review times = 2)
  • Sep 2013- Jun 2014, Research Assistant, Biomimicry Design Lab (BiDL), Design & Innovation College, Tongji University