Research Profiles


Prof. Zhou Yu

B.Eng.; M.Sc.; Ph.D.

Honorary Research Fellow

Yu Zhou received the B.Sc., M.Sc., and Ph.D. degrees from Nanjing University, Xiangtan University, and The Chinese University of Hong Kong, China, in computational mathematics, applied mathematics, and geography and resource management, respectively. He was a post-doctoral fellow at The Chinese University of Hong Kong, Hong Kong, China working on multifractal approach to multiscale feature extraction in remotely sensed images, and post-doctoral guest scientist at the Max Planck Institute for the Physics of Complex Systems, Dresden, Germany on nonlinear time series analysis. He is currently a Research Assistant Professor of the Institute of Future Cities at The Chinese University of Hong Kong.  He has been trying to introduce multidisciplinary concepts and ideas into geography for teaching and research. Most of his research in theory originates from real life problems in geographical studies. After the new theories or methods developed for solving the theoretical problems, he applies them to study the empirical data for demonstration of their validation.

Tel: 3943-5376 Email:

Research interests/fields

His research interests include applied mathematics, such as nonlinear dynamics, especially fractals, and time series analysis, and geography, like spatial analysis, quantitative methods and geocomputation.


Selected Grants

Analysis of air pollutant concentration based on a multiscale analysis framework for non-Gaussian and non-stationary processes, Direct Grant for Research 2018-19 (Principle Investigator)


Selected Publications

  1. Shan Jiang, Bao-Gen Li, Zu-Guo Yu, Fang Wang, Vo Anh, and Yu Zhou, Multifractal temporally weighted detrended cross-correlation analysis of multivariate time series, Chaos, 30 (2020) 023134.

  2. Dong-Ling Yu, Wen-Jin Li and Yu Zhou, Analysis of trends in air temperature at Chinese stations considering the long-range correlation effect, Physica A, 533 (2019) 122034.

  3. Yee Leung, Yu Zhou, Ka-Yu Lam, Tung Fung, Kwan-Yau Cheung, Taehong Kim and Hanmin Jung, Integration of air pollution data collected by mobile sensors and ground-based stations to derive a spatiotemporal air pollution profile of a city, International Journal of Geographical Information Science, 33 (2019), 2218.

  4. Yu Zhou, Yee Leung and Lung Sang Chan, Oscillatory tendency of interevent direction in earthquake sequences, Physica A, 478 (2017) 120.

  5. Yu Zhou, Qiang Zhang and Vijay P. Singh, An adaptive multi-level correlation analysis: A new algorithm and case study, Hydrological Sciences Journal, 61 (2016) 2718.

  6. Marc Höll, Holger Kantz and Yu Zhou, Detrended fluctuation analysis and the difference between external drifts and intrinsic diffusionlike nonstationarity, Physical Review E, 94 (2016) 042201.

  7. Yu Zhou, Aleksei Chechkin, Igor M. Sokolov and Holger Kantz, A model of return intervals between earthquake events, Europhysics Letters, 114 (2016) 60003.

  8. Yu Zhou, Ming Luo and Yee Leung, On the detection of precipitation dependence on temperature, Geophysical Research Letters, 43 (2016) 4555.

  9. Yu Zhou, Tung Fung and Yee Leung, Improved triangular prism methods for fractal analysis of remotely sensed images, Computers & Geosciences, 90 (2016) 64.

  10. Ming Luo, Holger Kantz, Ngar-Cheung Lau, Wenwen Huang and Yu Zhou, Questionable dynamical evidence for causality between galactic cosmic rays and interannual variation in global temperature, Proceedings of the National Academy of Sciences of the United States of America, 112 (2015) E4638.

  11. Bao-Gen Li, Zu-Guo Yu and Yu Zhou, Fractal and multifractal properties of a family of fractal networks, Journal of Statistical Mechanics, (2014) P02020.

  12. Qiang Zhang, Yu Zhou and Vijay Singh, Detrending methods for fluctuation analysis in hydrology: Amendments and comparisons of methodologies, Hydrological Processes, 28 (2014) 753.

  13. Yu Zhou, Yee Leung and Zu-Guo Yu, Relationships of exponents in two dimensional multifractal detrended fluctuation analysis, Physical Review E, 87 (2013) 012921.

  14. Yu Zhou, Yee Leung and Jian-Min Ma, Empirical study of the scaling behavior of amplitude-frequency distribution of Hilbert-Huang transform and its application in sunspot time series analysis, Physica A, 392 (2013) 1336.

  15. Yu Zhou, Qiang Zhang, Kun Li and Xiaohong Chen, Hydrological effects of water reservoirs on hydrological processes in the East River (China) basin: Complexity evaluations based on the multi-scale entropy analysis, Hydrological Processes, 26 (2012) 3253.

  16. Qiang Zhang, Yu Zhou and Vijay Singh, Scaling and clustering effects of extreme precipitation distributions, Journal of Hydrology, 454-455 (2012) 187.

  17. Yu Zhou, Yee Leung and Zu-Guo Yu, Relationships of exponents in multifractal detrended fluctuation analysis and conventional multifractal analysis, Chinese Physics B, 20 (2011) 090507

  18. Qiang Zhang, Yu Zhou, Vijay P. Singh and Yongqin David Chen, Comparison of detrending methods for fluctuation analysis in hydrology, Journal of Hydrology, 400 (2011) 121.

  19. Yu Zhou and Yee Leung, Empirical mode decomposition and long-range correlation analysis of sunspot time series, Journal of Statistical Mechanics, (2010) P12006.

  20. Yu Zhou and Yee Leung, Multifractal temporally weighted detrended fluctuation analysis and its application in the analysis of scaling behavior in temperature series, Journal of Statistical Mechanics, (2010) P06021.


Prof. Lau Ka Lun Kevin

BEnvSc.; Ph.D.

Honorary Research Associate

Dr Kevin Ka-Lun Lau is Senior Lecturer at Department of Civil, Environmental and Natural Resources Engineering of Luleå University of Technology; and Research Associate (honorary) of Centre of Urban Sustainability, Institute of Future Cities, CUHK. His primary research interest is on the relationship between the built environment and urban climate, with a particular focus on human thermal comfort in outdoor environment. His research ranges from numerical modelling of urban microclimate to field studies of outdoor thermal comfort, with over 50 articles published in peer-reviewed journals. He is a member of the WMO Expert Network of the Commission for Observation, Infrastructure and Information Systems and the Commission for Weather, Climate, Water and Related Environmental Services and Applications.


Dr Lau is also affiliated with CUHK Jockey Club Institute of Ageing where he collaborates with public health experts on the inter-relationships between the built environment, urban climate and the health of citizens. He is experienced in translation research which transfers scientific knowledge into practical guidance in climate-sensitive urban planning and design. He is currently working on a collaborative project on increasing the resilience of elderly population to the impacts of extreme hot weather in the future, which focuses on enhancing weather information services, mitigation strategies through neighbourhood and building design, and awareness and preparedness of elderly population through community services. He is also leading an international study of developing a global database for outdoor thermal comfort studies and establishing a standardised methodology for conducting outdoor thermal comfort surveys under the IAUC working group of outdoor thermal comfort.


Tel: 3943-5398 Email:

Research Interests

  • Effect of urban morphology and vegetation on urban climate and their implications on urban planning and design

  • Outdoor thermal comfort in urban environment – field studies and numerical modelling approach

  • Healthy communities - how the built environment affects the health and wellbeing of citizens in high-density cities


Selected Grants

  • Designing better urban green spaces for active ageing in high-density cities (Principal Investigator; General Research Fund, Research Grant Council, Hong Kong; January 2018 – Present)

  • The impacts of future urban development on the urban climate of Hong Kong: A numerical modelling approach (Principal Investigator, PROCORE-France/Hong Kong Joint Research Scheme, Research Grant Council, Hong Kong, Jan 2019 – Present)

  • Increasing the resilience to the health impacts of extreme weather on elderly people under future climate change (Co-Principal Investigator; Research Impact Fund, Research Grant Council, Hong Kong; June 2019 – Present)

  • Analyzing the role of urban forms in making sustainable, healthy cities (Lead Collaborator; WUN Research Development Fund, World Universities Network, January 2019 – Present)

  • Study of design considerations for government infrastructures in Hong Kong under extreme temperatures (Co-Investigator; Architectural Services Department, Hong Kong SAR Government; May 2018 – December 2018)


Selected Publications


Liu S, Kwok YT, Lau KKL, Tong HW, Chan PW, Ng E, 2020. Development and application of future design weather data for evaluating the building thermal-energy performance in subtropical Hong Kong. Energy and Buildings 209: 109696.


Wang D, Lau KKL, Ren C, Goggins WB, Shi Y, Ho HC, Lee TC, Woo J, Ng E, 2019. The impact of extremely hot weather events on all-cause mortality in a highly urbanized and densely populated subtropical city: A 10-year time-series study (2006–2015). Science of the Total Environment 690: 923-931.


Lau KKL, Shi Y, Ng EYY, 2019. Dynamic response of pedestrian thermal comfort under outdoor transient conditions. International Journal of Biometeorology 63: 979-989.


Lau KKL, Chung SC, Ren C, 2019. Outdoor thermal comfort in different urban settings of sub-tropical high-density cities: An approach of adopting local climate zone (LCZ) classification. Building and Environment 154: 227-238.


Tan Z, Lau KKL, Roberts AC, Chao STY, Ng E, 2019. Designing urban green spaces for older adults in Asian cities. International Journal of Environmental Research and Public Health 16(22): 4423.


Tan Z, Chung SC, Roberts AC, Lau KKL, 2019. Design for climate resilience: influence of environmental conditions on thermal sensation in subtropical high-density cities. Architectural Science Review 62: 3-13.


Kwok YT, Schoetter R, Lau KKL, Hidalgo J, Ren C, Pigeon G, Masson V, 2019. How well does the Local Climate Zone scheme discern the thermal environment of Toulouse (France)? An analysis using numerical simulation data. International Journal of Climatology 39(14): 5292-5315.


Morakinyo TE, Lai A, Lau KKL, Ng E, 2019. Thermal benefits of vertical greening in a high-density city: Case study of Hong Kong. Urban Forestry & Urban Greening 37: 42-55.


Morakinyo TE, Ren C, Shi Y, Lau KKL, Tong HW, Choy CW, Ng E, 2019. Estimates of the impact of extreme heat events on cooling energy demand in Hong Kong. Renewable Energy 142: 73-84.


Chokhachian A, Lau KKL, Perini K, Auer T, 2018. Sensing transient outdoor comfort: A georeferenced method to monitor and map microclimate. Journal of Building Engineering 20: 94-104.


Lam CKC, Lau KKL, 2018. Effect of long-term acclimatization on summer thermal comfort in outdoor spaces: a comparative study between Melbourne and Hong Kong. International Journal of Biometeorology 62(7): 1311-1324


Morakinyo TE, Lau KKL, Ren C, Ng E, 2018. Performance of Hong Kong's common trees species for outdoor temperature regulation, thermal comfort and energy saving. Building and Environment 137: 157-170.


Lau KKL, Ng E, Ren C, Ho JCK, Wan L, Shi Y, Zheng Y, Gong F, Cheng V, Yuan C, Tan Z, Wong KS, 2017. Defining the environmental performance of neighbourhoods in high-density cities. Building Research & Information 46: 540-551.


Tan Z, Lau KKL, Ng E, 2017. Planning strategies for roadside tree planting and outdoor comfort enhancement in subtropical high-density urban areas. Building and Environment 120: 93-109.


Ho HC, Lau KKL, Ren C, Ng E, 2017. Characterizing prolonged heat effects on mortality in a sub-tropical high-density city, Hong Kong. International Journal of Biometeorology 61(11): 1935-1944


Wang D, Lau KKL, Yu RHY, Wong SYS, Kwok TTY, Woo J, 2017. Neighboring green space and mortality of the Chinese elderly in Hong Kong: A retrospective cohort study. BMJ Open 7: e015794.


Ho HC, Lau KKL, Yu R, Wang D, Woo J, Kwok TCY, Ng E, 2017. Spatial variability of geriatric depression risk in a high-density city: A data-driven socio-environmental vulnerability mapping approach. International Journal of Environmental Research and Public Health 14(9), 994


Prof. SHI Yuan

B.Eng.; M.Sc.; Ph.D.

Honorary Research Associate

Dr. Yuan SHI is Lecturer, Department of Geography and Planning, University of Liverpool and Honorary Research Associate at the Centre of Urban Sustainability, Institute of Future Cities, CUHK. His research focuses on geospatial data-driven sustainable, climate-adaptive, healthy urban planning and development with a specific focus on the interactions between urban form and atmosphere as well as the impacts on urban sustainability and human health. His expertise is in urban climate simulation and air pollution modelling, air pollution exposure assessment via geospatial data modelling and machine learning. He has knowledge on both urban planning and urban climatology with expertise of understanding environmental factors as related to planning and design mechanism. Before starting academic research, he has practiced as urban planner. His research shows the interdisciplinary merit and links atmospheric and climate research with sustainable urban planning and urban development. By conducting Interdisciplinary and translational research, he focuses on providing scientific evidence and translating it to practical strategies for urban planners, practitioners and decision makers for making better built environment. Dr. SHI has 50 publications and consultancy reports (with half as lead author). In which, he published almost 30 SCI/SSCI/AHCI peer-reviewed journal publications for the past three years, with half of these papers with Impact Factor higher than 5, and being the lead author of 16 papers. Dr. SHI is also active in several global collaborative research communities & networks. He is currently working on a collaborative research on integration of WUDAPT with geospatial modelling of urban air pollution, heatwaves as well as urban carbon emission mapping. Dr. SHI currently serve on the editorial board of ‘Advances in Climate Change Research’ and ‘Journal Frontiers in Sustainable Cities’ and have performed reviews for 30 top journals in the field of environmental science, atmospheric science, geography and urban science.

Tel: 3943-9428

Google Scholar | ResearchGate | ORCiD

Research Interests

  • Data-driven climate-adaptive environmental urban planning and urban sustainability;

  • Modelling of urban climate simulation and air pollution exposure using Geographic Information System, computational fluid dynamics, and field measurement;

  • Spatiotemporal assessment of urban climate and urban air quality using data-driven approaches (land use regression modelling, machine learning);

  • Sustainable, resilient and healthy cities development.



  • Editorial Board Member - Advances in Climate Change Research (2020 – present)

  • Review Editor - Frontiers in Sustainable Cities (2020 – present)  

Professional Membership and Qualifications

  • European Geosciences Union (EGU)

  • International Association for Urban Climate (IAUC)

  • Architectural Science Association (ANZAScA)

  • Hong Kong Wind Engineering Society (HKWES)

  • International Accreditation of AutoCAD Engineer

  • Wind Doppler LIDAR Level 1 Training Certification

Selected Awards

  • Silver Award - The Hong Kong Institute of Planners (HKIP) Awards 2020 (team member)

  • Top 25 Most Cited Papers in Urban Climate (since 2017)

  • Grand Award - Green Building Award 2019 - Professional Green Building Council (PGBC) and Hong Kong Green Building Council (HKGBC)(team member, 2019)

  • 2017 JIN Jingchang China Urban Planning Excellent Papers Award - Urban Planning Society of China & JinJingChang Urban Planning Education Foundation (2017)

  • AXA RF International Post-Doctoral Fellowships Nominated Candidates (2017)

  • IAUC/AMS Presentation Award - The International Association for Urban Climate and American Meteorological Society (2015)

  • ANZAScA Best Presentation Award - The 47th International Conference of the Architectural Science Association (ANZAScA) (2013)

  • 3rd Prize - Landscape Design Award - Landscape Design Competition of Yanqing Urban Planning Exhibition Centre, Beijing (2009)

Selected Research Projects

  • Mapping Carbon Emission of High-Density Cities by Using the Open-source Data for Improving Low-carbon Urban Planning and Design Strategies – A Case Study in Hong Kong. (2019-present, Research collaboration with Center for Global Environmental Research, National Institute for Environmental Studies of Japan.)

  • Evaluation of Machine Learning Techniques with Multiple Remote Sensing Datasets in Estimating Monthly Concentrations of Ground-level PM2.5. (2018-2019, Research collaboration between universities in China, Canada, US.)

  • Developing Urban Planning Optimization Strategies for Improving Air Quality in Compact Cities Using Geo-Spatial Modelling Based on In-situ Data. (2018-present, General Research Fund, Research Grants Council of Hong Kong. Co-drafted the proposal with PI.)

  • Land-use Regression for National-scale Long-term Ambient PM2.5 Exposure Assessment in Pakistan (2018-present, Research collaboration with the Pakistan Air Quality Initiative, PAQI).

  • Green4cites (G4C) Project - Urban green infrastructure implementation research. (Research project of the European Union. Hong Kong branch of the research project.)

Recent Publications (In Chronological Order)

  1. Shi, Y.,Ren, C., Luo, M., Ching, J., Li, X., Bilal, M., Fang, X., Ren, Z. (2021). Utilizing World Urban Database and Access Portal Tools (WUDAPT) and machine learning to facilitate spatial estimation of heatwave patterns. Urban Climate, 36, 100797.

  2. Ho, H. C., Man, H. Y., Wong, M. S., Shi, Y.,& Walker, B. B. (2020). Perceived differences in the (re) production of environmental deprivation between sub-populations: A study combining citizens’ perceptions with remote-sensed and administrative data. Building and Environment, 106769.

  3. Ren, C., Cai, M., Li, X., Shi, Y.,& See, L. (2020). Developing a rapid method for 3-dimensional urban morphology extraction using open-source data. Sustainable Cities and Society, 53, 101962.

  4. Shi, Y.,Ren, C., Lau, K. K. L., & Ng, E. (2019). Investigating the influence of urban land use and landscape pattern on PM2.5 spatial variation using mobile monitoring and WUDAPT. Landscape and urban planning, 189, 15-26.

  5. Shi, Y.,Ren, C., Cai, M., Lau, K. K. L., Lee, T. C., & Wong, W. K. (2019). Assessing spatial variability of extreme hot weather conditions in Hong Kong: A land use regression approach. Environmental research, 171, 403-415.

  6. Bilal, M., Nichol, J. E., Nazeer, M., Shi, Y.,Wang, L., Kumar, K. R., ... & Khedher, K. M. (2019). Characteristics of Fine Particulate Matter (PM2.5) over Urban, Suburban, and Rural Areas of Hong Kong. Atmosphere, 10(9), 496.

  7. Wang, D., Lau, K. K. L., Ren, C., Goggins, W. B. I., Shi, Y.,Ho, H. C., ... & Ng, E. (2019). The impact of extremely hot weather events on all-cause mortality in a highly urbanized and densely populated subtropical city: a 10-year time-series study (2006–2015). Science of The Total Environment, 690, 923-931.

  8. Morakinyo, T. E., Ren, C., Shi, Y.,Lau, K. K. L., Tong, H. W., Choy, C. W., & Ng, E. (2019). Estimates of the impact of extreme heat events on cooling energy demand in Hong Kong. Renewable Energy, 142, 73-84.

  9. Lau, K. K. L., Shi, Y.,& Ng, E. Y. Y. (2019). Dynamic response of pedestrian thermal comfort under outdoor transient conditions. International journal of biometeorology, 63(7), 979-989.

  10. Ho, H. C., Wong, M. S., Man, H. Y., Shi, Y.,& Abbas, S. (2019). Neighborhood-based subjective environmental vulnerability index for community health assessment: Development, validation and evaluation. Science of The Total Environment, 654, 1082-1090.

  11. Shi, Y.,Ho, H. C., Xu, Y., & Ng, E. (2018). Improving satellite aerosol optical Depth-PM2.5 correlations using land use regression with microscale geographic predictors in a high-density urban context. Atmospheric Environment, 190, 23-34.

  12. Xu, Y., Ho, H. C., Wong, M. S., Deng, C., Shi, Y.,Chan, T. C., & Knudby, A. (2018). Evaluation of machine learning techniques with multiple remote sensing datasets in estimating monthly concentrations of ground-level PM2.5. Environmental Pollution, 242, 1417-1426.

  13. Shi, Y.,Lau, K. K. L., Ren, C., & Ng, E. (2018). Evaluating the local climate zone classification in high-density heterogeneous urban environment using mobile measurement. Urban Climate, 25, 167-186.

  14. Shi, Y.,Katzschner, L., & Ng, E. (2018). Modelling the fine-scale spatiotemporal pattern of urban heat island effect using land use regression approach in a megacity. Science of the Total Environment, 618, 891-904.

  15. Shi, Y.,Xie, X., Fung, J. C. H., & Ng, E. (2018). Identifying critical building morphological design factors of street-level air pollution dispersion in high-density built environment using mobile monitoring. Building and Environment, 128, 248-259.

  16. Wang, R., Ren, C., Xu, Y., Lau, K. K. L., & Shi, Y. (2018). Mapping the local climate zones of urban areas by GIS-based and WUDAPT methods: A case study of Hong Kong. Urban climate, 24, 567-576. (Most cited paper of Urban Climate Since 2017)

  17. Shi, Y.,& Ng, E. (2017). Fine-scale spatial variability of pedestrian-level particulate matters in compact urban commercial districts in Hong Kong. International journal of environmental research and public health, 14(9), 1008.

  18. Shi, Y.,Lau, K. K. L., & Ng, E. (2017). Incorporating wind availability into land use regression modelling of air quality in mountainous high-density urban environment. Environmental research, 157, 17-29.

  19. Shi, Y.,Ren, C., Zheng, Y., & Ng, E. (2016). Mapping the urban microclimatic spatial distribution in a sub-tropical high-density urban environment. Architectural Science Review, 59(5), 370-384.

  20. Shi, Y.,Lau, K. K. L., & Ng, E. (2016). Developing street-level PM2.5 and PM10 land use regression models in high-density Hong Kong with urban morphological factors. Environmental science & technology, 50(15), 8178-8187.