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Journal Publications

*Corresponding Author;#Co-First Author

  1. Liu, W., Zhang, X.*, & Weerasuriya, A. U. (2026). A CFD-CONTAM-BES framework incorporates wind pressure, air temperature, and indoor air circulation to estimate energy consumption of high-rise buildings. Sustainable Cities and Society, 147, 107514. https://doi.org/10.1016/j.scs.2026.107514
  2. Zhang, X., Li, Q., Wang, B., Qian, X., Liu, W., Guo, Y., Wu, Z., Cao, Z., Qin, C., Zhai, J., & Lu, B. (2026). A comprehensive review of blue, green, and grey space studies for improving urban microclimate. Building and Environment, 300, 114698. https://doi.org/10.1016/j.buildenv.2026.114698
  3. Weerasuriya, A. U., Longo, R., Zhang, X., & Parente, A. (2026). Dependency of variable turbulent Schmidt numbers on building geometry, emission source, and inflow wind conditions of CFD simulation. Journal of Wind Engineering and Industrial Aerodynamics, 274, 106490. https://doi.org/10.1016/j.jweia.2026.106490
  4. Chen, G., Hang, J., Wang, W., Chang, M., Zhang, X., Zheng, X., & Wang, X. (2026). Impacts of urban morphology and sky conditions on microscale surface and canopy heat islands under subtropical climate: Scaled outdoor experiments. Building and Environment, 298. https://doi.org/10.1016/j.buildenv.2026.114636
  5. Chen, X., Zwenig, A., Zhang, X., Holzapfel, F., & Hong, H. (2026). Dynamic Soaring Without Wind Speed Variation: Energy Harvesting Formula in Vector Form. AIAA Journal, 64(5), 2852–2863. https://doi.org/10.2514/1.J065614
  6. Luo, Z., Chan, K. T. F., Chen, Z., Wu, Y., Xu, L., Zhang, W., Cheung, O. Y. W., Chen, X., Yuan, N., & Zhang, X. (2026). Statistical Seasonal Forecasting of Tropical Cyclone Landfalls on East China. Atmospheric Science Letters, 27(5), e70049. https://doi.org/10.1002/asl2.70049
  7. Zhang, X., Fan, X., & Weerasuriya, A. U. (2026). Best practices for computational fluid dynamics simulations of indoor droplet dispersion: Impact of grid, human models, thermal boundary conditions, droplet size, and interactions. Physics of Fluids, 38(3), 033316. https://doi.org/10.1063/5.0312381
  8. Qin, C., Zhang, X.*, Weerasuriya, A. U., Kwok, K. C. S., Chan, K. T. F., Chen, X., & Yuan, N. (2026). Designing water spray systems to mitigate particulate matter pollution in an urban area. Building Simulation, 19(2), 383-405. http://doi.org/10.1007/s12273-026-1395-2
  9. Wu, Z., Li, S., Zhang, X.*, Weerasuriya, A. U., Ni, Y., Zhang, X., & Yu, M. (2026). Investigating the impact of temporal wind-speed variations on wind power modeling using a dynamically coupled meso–microscale simulation framework. Physics of Fluids, 38(2), 025120. https://doi.org/10.1063/5.0314201
  10. Chu, Y.#, Zhang, X.#, Guo, Y., Liao, Y., Qian, X., Liu, W., & Liu, J. (2026). Turbulent fluctuation around a semi-open structure – influencing assessment on building aspect ratio and wind probability by wind tunnel test. Building and Environment, 290, 114192. https://doi.org/10.1016/j.buildenv.2025.114192
  11. Weerasuriya, A. U., Lu, B.,Zhang, X., Kudagama, B. J., Tsang, E. K. W., & Li, Q. (2026). Are present microclimate assessments valid in future changing climates? A case study from Hong Kong. Building and Environment, 290, 114131. https://doi.org/10.1016/j.buildenv.2025.114131
  12. Cao, Z.,Zhang, X.*, Weerasuriya, A. U., Wang, Z., & Guo, J. (2026). Estimating the impacts of the wind field size, wind speed, turbulence, and no-fly zones on unmanned aerial vehicle flights in urban areas. Physics of Fluids, 38(1), 15130. http://doi.org/10.1063/5.0312680
  13. Wang, B., Zeng, L., Zhang, X.*, Fu, Y., Qian, X., Guo, Y., & Wen, L. (2025). Computational fluid dynamics investigation of evaporation modeling and microclimate cooling effects of urban water bodies. Physics of Fluids, 37(12), 125164. http://doi.org/10.1063/5.0304862
  14. Guo, J., Zhang, W., Zhou, B., Yan, C., Zhang, X., Sun, Y., Deng, W., Chen, T., Yang, H., Qiu, Z., Li, Z., Tao, F., Liang, H., & Zhang, C. (2025). Progress and Prospect of Research on the Key Frontier Scientific and Technological Issues in Low-Altitude Economy Meteorology. Meteorological Monthly, 51(11), 1455–1476. https://doi.org/10.7519/j.issn.1000-0526.2025.082601
  15. Zhang, X., Ye, X., & Weerasuriya, A. U. (2025). CFD-based parametric study of venturi-shaped roof optimization for wind energy harvesting by building-integrated wind turbines in an idealized high-rise building. Building and Environment, 285, 113574. http://doi.org/10.1016/j.buildenv.2025.113574
  16. Zhang, X., Wen, L., Weerasuriya, A. U., Ye, X., & Zhang, B. (2025). Investigating vehicle effects on wind and pollutant fields in street canyon using the dynamic mesh and source term methods. Sustainable Cities and Society, 130, 106620. https://doi.org/10.1016/j.scs.2025.106620
  17. Wang, B., Zhang, X., Li, C. Y., Chen, Z., & Tse, T. K. T. (2025). Advances in flow and civil structures. Physics of Fluids, 37(7). https://doi.org/10.1063/5.0280956
  18. Wang, J., Kudagama, B. J., Perera, U. S., Li, S.*, & Zhang, X.* (2025). Framework for generating high-resolution Hong Kong local climate projections to support building energy simulations. Physics of Fluids, 37(3), 037126. https://doi.org/10.1063/5.0254669
  19. Liang, J., Hang, J., Jia, S., Hua, J., Zhao, B., Zhang, X.*, Ling, H., & Mo, Z. (2025). O3–NOx–VOCs photochemical pollutant dispersion in 2D street canyon under effects of solar radiation. Atmospheric Environment, 344, 121032. https://doi.org/10.1016/j.atmosenv.2025.121032
  20. Weerasuriya, A. U., Longo, R., Zhang, X.*, Cotteleer, L., & Parente, A. (2025). Comprehensive evaluation of constant and variable turbulent Schmidt numbers for CFD simulation of near-field air pollutant dispersion. Building and Environment, 270, 112493. https://doi.org/10.1016/j.buildenv.2024.112493
  21. Guo, Y., Zhang, X.*, Weerasuriya, A. U., Li, C. Y., & Zhang, B. (2025). Establishing Correlation between Flow Structures and Air Pollutant Dispersion around Isolated Building. Building and Environment, 269, 112466. https://doi.org/10.1016/j.buildenv.2024.112466
  22. Wen, L., Ye, X., & Zhang, X.* (2025). Three-dimensional simulation of a pair of vertical-axis wind turbines with a longitudinal arrangement in urban environments: An analysis of wake characteristics and power output. HKIE Transactions Hong Kong Institution of Engineers, 31(5), 1–10. https://doi.org/10.33430/V31N5WINDENGI-5
  23. Perera, U. S., Weerasuriya, A. U., Zhang, X.*, Ruparathna, R., Tharaka, M. G. I., & Lewangamage, C. S. (2025). Selecting suitable passive design strategies for residential high-rise buildings in tropical climates to minimize building energy demand. Building and Environment, 267, 112177. https://doi.org/10.1016/j.buildenv.2024.112177
  24. Zhang, B., Wen, L., Zhang, X., Fu, Y., Tse, T. K. T., & Mak, C. M. (2024). Enhanced modeling of vehicle-induced turbulence and pollutant dispersion in urban street canyon: Large-eddy simulation via dynamic overset mesh approach. Sustainable Cities and Society, 117, 105939. https://doi.org/10.1016/j.scs.2024.105939
  25. Li, C. Y., Zhang, L., Li, S., Zhang, X.*, Chen, Z., Fu, Y., Lin, X., Peng, D. Z., Wang, Y., Zhang, B., Zhou, L., Wang, Y., Liu, H., Weerasuriya, A. U., Tse, K. T., & Yang, Q. (2024). Koopman-inspired data-driven quantification of fluid–structure energy transfers. Physics of Fluids, 36(9), 095102. https://doi.org/10.1063/5.0219635
  26. Qian, X., Zhang, X.*, Weerasuriya, A. U., & Zhai, J. (2024). Designing green walls to mitigate fine particulate pollution in an idealized urban environment. Sustainable Cities and Society, 113, 105640. https://doi.org/10.1016/j.scs.2024.105640
  27. Chen, Z., Guan, T., Zhang, L., Li, S., Kim, B., Fu, Y., Li, C. Y., & Zhang, X. (2024). The flow interference investigation of multi-square prisms under fluid–structure interaction. I. Proximal wake characteristics of tandem square prisms. Physics of Fluids, 36(7), 075137. https://doi.org/10.1063/5.0201581
  28. Zhang, X., Weerasuriya, A. U., Perera, U. S., Wang, J., Li, C. Y., Tse, K. T., & Kwok, K. C. S. (2024). Effects of internal wall design on cross-ventilation of an isolated building. Physics of Fluids, 36(5), 057130. https://doi.org/10.1063/5.0202386
  29. Fan, X., Zhang, X.*, Weerasuriya, A. U., Hang, J., Zhai, J., Luo, Q., & Ou. C. (2024), Simulation-based Suggestions for Lockdown Rules in Dense Urban Areas considering Indoor-Outdoor Droplet Transmission under Natural Ventilation Conditions, Sustainable Cities and Society, 108, 105401. https://doi.org/10.1016/j.scs.2024.105401
  30. Zhao, Y.#, Zhang, X.#, Ling, H., Jia, S., Yang, X., Zhang, Y., Zhao, B., & Hua, J. (2024). Utilizing periodic boundary conditions to save computational resources for assessing building natural ventilation in urban areas, Urban Climate55, 101925. https://doi.org/10.1016/j.uclim.2024.101925
  31. Luo, Q., Hang, J., Ou, C., Luo, Z., Yang, X., Zhang, Y., Gu, Z., & Zhang, X.* (2024). Assessing impact of intermittent window opening strategies on pathogen-laden droplet dispersion in a coach bus, Building Simulation,  17(7), 1183–1200. https://doi.org/10.1007/s12273-024-1134-5
  32. Li, Q.#, Zhang, X.#, Hang, J. (2024). Numerical investigations of cool coatings on building envelopes for urban heat mitigation with various street aspect ratios, Sustainable Cities and Society, doi: https://doi.org/10.1016/j.scs.2024.10541
  33. Zeng, L., Zhang, X., Lu, J., Li, Y., Hang, J., Hua, J., … & Ling, H. (2024). Influence of Various Urban Morphological Parameters on Urban Canopy Ventilation: A Parametric Numerical Study. Atmosphere15(3), 352. https://doi.org/10.3390/atmos15030352
  34. Ye, X., Zhang, X.*, Weerasuriya, A.U., Hang, J., Zeng, L., Li C.Y. (2023). Optimum design parameters for a venturi-shaped roof to maximize the performance of building-integrated wind turbines. Applied Energy, 122311. https://doi.org/10.1016/j.apenergy.2023.122311
  35. Li, C. Y., Chen, Z., Weerasuriya, A. U., Zhang, X., Lin, X., Zhou, L., Fu, Y., & Tse, T. K. T. (2023). Best practice guidelines for the dynamic mode decomposition from a wind engineering perspective. Journal of Wind Engineering and Industrial Aerodynamics, 241, 105506. https://doi.org/10.1016/j.jweia.2023.105506
  36. Luo, Q., Liu, W., Liao, J., Gu, Z., Fan, X., Luo, Z., Zhang, X., Hang, J. & Ou, C. (2023). COVID-19 transmission and control in land public transport: A literature review. Fundamental Research,  4(3), 417–429. https://doi.org/10.1016/j.fmre.2023.10.013
  37. Zeng, L., Lindberg, F., Zhang, X., Pan, H., & Lu, J. (2023). Road surface temperature evaluated with streetview-derived parameters in a hot and humid megacity. Urban Climate51, 101585. https://doi.org/10.1016/j.uclim.2023.101585
  38. Hang, J., Wang, X., Liang, J., Zhang, X., Wu, L., Du, Y., … & Buccolieri, R. (2023). Numerical investigation of the impact of urban trees on O3–NOx–VOCs chemistry and pollutant dispersion in a typical street canyon. Atmospheric Environment, 119998. DOI: 10.1016/j.atmosenv.2023.119998
  39. Zhang, X., Buddhika, J. W. G., Wang, J., Weerasuriya, A. U., & Tse, K. T. (2023). Numerical investigation of effects of trees on cross-ventilation of an isolated building. Journal of Building Engineering, 106808. https://doi.org/10.1016/j.jobe.2023.106808
  40. Li, C. Y., Chen, Z., Tim, K. T., Weerasuriya, A. U., Zhang, X., Fu, Y., & Lin, X. (2023). The linear-time-invariance notion of the Koopman analysis. Part 2. Dynamic Koopman modes, physics interpretations and phenomenological analysis of the prism wake. Journal of Fluid Mechanics959, A15. DOI: https://doi.org/10.1017/jfm.2023.36
  41. Liang, J., Zeng, L., Zhou, S., Wang, X., Hua, J., Zhang, X., … & He, L. (2023). Combined Effects of Photochemical Processes, Pollutant Sources and Urban Configuration on Photochemical Pollutant Concentrations. Sustainability15(4), 3281. DOI: 10.3390/su15043281
  42. Hang, J., Yang, X., Ou, C., Luo, Z., Fan, X., Zhang, X., … & Li, X. (2023). Assessment of exhaled pathogenic droplet dispersion and indoor-outdoor exposure risk in urban street with naturally-ventilated buildings. Building and Environment, 110122. DOI:10.1016/j.buildenv.2023.110122
  43. Li, C. Y., Chen, Z., Zhang, X., Tim, K. T., & Lin, C. (2023). Koopman analysis by the dynamic mode decomposition in wind engineering. Journal of Wind Engineering and Industrial Aerodynamics232, 105295. https://doi.org/10.1016/j.jweia.2022.105295
  44. Hang, J., Liang, J., Wang, X., Zhang, X.*, Wu, L.,& Shao, M. (2022). Investigation of O3–NOx–VOCs chemistry and pollutant dispersion in street canyons with various aspect ratios by CFD simulations. Building and Environment226, 109667. https://doi.org/10.1016/j.buildenv.2022.109667
  45. Chen, Z., Zhang, L., Li, K., Xue, X., Zhang, X., Kim, B., & Li, C. Y. (2022). Machine-learning prediction of aerodynamic damping for buildings and structures undergoing flow-induced vibrations. Journal of Building Engineering, 105374. https://doi.org/10.1016/j.jobe.2022.105374
  46. Hang, J., Wang, D., Zeng, L., Ren, L., Shi, Y., & Zhang, X. (2022). Experimental investigation of thermal environment and surface energy balance in deep and shallow street canyons under various sky conditions. Building and Environment, 109618. DOI:10.1016/j.buildenv.2022.109618
  47. Fan, X.,Zhang, X.*, Werasuriya, A. U., Hang, J., Zeng, L., Luo, Q., … & Chen, Z. (2022). Numerical investigation of the effects of environmental conditions, droplet size, and social distancing on droplet transmission in a street canyon. Building and Environment, 109261. DOI:10.1016/j.buildenv.2022.109261
  48. Luo, Q., Ou, C., Hang, J., Luo, Z., Yang, H., Yang, X., Zhang, X. & Li, Y. (2022). Role of pathogen-laden expiratory droplet dispersion and natural ventilation explaining a COVID-19 outbreak in a coach bus. Building and Environment220, 109160. https://doi.org/10.1016/j.buildenv.2022.109160
  49. Zhang, X., Weerasuriya, A. U., Wang, J., Li, C. Y., Chen, Z., Tse, K. T., & Hang, J. (2022). Cross-ventilation of a generic building with various configurations of external and internal openings. Building and Environment207, 108447. https://doi.org/10.1016/j.buildenv.2021.108447
  50. Li, C. Y., Chen, Z., Lin, X., Weerasuriya, A. U., Zhang, X., Fu, Y., & Tse, T. K. (2022). The linear-time-invariance notion to the Koopman analysis: The architecture, pedagogical rendering, and fluid–structure association. Physics of Fluids34(12), 125136. https://doi.org/10.48550/arXiv.2112.02985
  51. Li, C. Y., Chen, Z., Tse, T. K., Weerasuriya, A. U., Zhang, X., Fu, Y., & Lin, X. (2022). A parametric and feasibility study for data sampling of the dynamic mode decomposition: Spectral insights and further explorations. Physics of Fluids34(3), 035102. https:/doi.org/10.1007/s11071-021-07167-8
  52. Li, C. Y., Chen, Z., Tse, T. K., Weerasuriya, A. U., Zhang, X., Fu, Y., & Lin, X. (2022). A parametric and feasibility study for data sampling of the dynamic mode decomposition: range, resolution, and universal convergence states. Nonlinear Dynamics, 1-25. https:/doi.org/10.1007/s11071-021-07167-8
  53. Li, C. Y., Chen, Z., Tse, T. K., Weerasuriya, A. U., Zhang, X., Fu, Y., & Lin, X. (2021). Establishing direct phenomenological connections between fluid and structure by the Koopman-Linearly Time-Invariant analysis. Physics of Fluids33(12), 121707. https://doi.org/10.1063/5.0075664
  54. Hu, Y., Wu, Y., Wang, Q., Hang, J., Li, Q., Liang, J., … & Zhang, X. (2021). Impact of Indoor-Outdoor Temperature Difference on Building Ventilation and Pollutant Dispersion within Urban Communities. Atmosphere13(1), 28. DOI: 10.3390/atmos13010028
  55. Weerasuriya, A. U., Zhang, X.*, Tse, K. T., Liu, C. H., & Kwok, K. C. (2021). RANS simulation of near-field dispersion of reactive air pollutants. Building and Environment, 108553. DOI:10.1016/j.buildenv.2021.108553
  56. Weerasuriya, A. U., Zhang, X.*, Wang, J., Lu, B., Tse, K. T., & Liu, C. H. (2021). Performance evaluation of population-based metaheuristic algorithms and decision-making for multi-objective optimization of building design. Building and Environment198, 107855. https://doi.org/10.1016/j.buildenv.2021.107855
  57. Weerasuriya, A. U., Zhang, X.*, Lu, B., Tse, K. T., & Liu, C. H. (2021). A Gaussian Process-Based emulator for modeling pedestrian-level wind field. Building and Environment, 107500. https://doi.org/10.1016/j.buildenv.2020.107500
  58. Zhang, X., Weerasuriya, A. U., & Tse, K. T. (2020). CFD simulation of natural ventilation of a generic building in various incident wind directions: Comparison of turbulence modelling, evaluation methods, and ventilation mechanisms. Energy and Buildings229, 110516. DOI:10.1016/j.enbuild.2020.110516
  59. Zhang X., Weerasuriya A. U.*, Zhang X., Tse K.T., Lu B., Li Cruz Y. & Liu C.H. (2020). Pedestrian Wind Comfort Near a Super-Tall Building with Various Configurations in an Urban-like Setting. Building Simulation. DOI: 10.1007/s12273-020-0658-6
  60. Zhang, Y., Liu, J., Zheng, Z., Fang, Z., Zhang, X., Gao, Y., & Xie, Y. (2020). Analysis of thermal comfort during movement in a semi-open transition space. Energy and Buildings225, 110312. https://doi.org/10.1016/j.enbuild.2020.110312
  61. Weerasuriya A. U., Zhang X.*, Lu B., Tse K.T. & Liu C.H. (2020). Optimizing Lift-up Design to Maximize Pedestrian Wind and Thermal Comfort in ‘Hot-Calm’ and ‘Cold-Windy’ Climates. Sustainable Cities and Society, 58, 102146DOI: 10.1016/j.scs.2020.102146     
  62. Zhou, C., Fang, Z., Xu, X., Zhang, X., Ding, Y. & Jiang, X. (2019). Using Long Short-Term Memory Networks to Predict Energy Consumption of Air-conditioning Systems. Sustainable Cities and Society55, 102000. https://doi.org/10.1016/j.scs.2019.102000
  63. Hang J., Chen X., Chen G., Chen T., Lin Y., Luo Z., Zhang X.* & Wang Q.* (2019). Impacts of aspect ratios and wall heating conditions on flow and passive pollutant exposure in 2D typical street canyons, Building and Environment, 168, 106536. DOI:10.1016/j.buildenv.2019.106536
  64. Zhang, X., Weerasuriya, A. U., Lu, B., Tse, K.T., Liu, C.H. & Tamura, Y. (2019). Pedestrian-level Wind Environment near a Super-Tall Building with Unconventional Configurations in a Regular Urban Area, Building Simulation, 13, 439-456. https://doi.org/10.1007/s12273-019-0588-3
  65. Weerasuriya, A. U., Zhang, X.*, Gan, V. J. L.*, & Tan, Y. (2019). A holistic framework to utilize natural ventilation to optimize energy performance of residential high-rise buildings, Building and Environment, 153, 218-232. https://doi.org/10.1016/j.buildenv.2019.02.027               
  66. Liu, J., Zhang, X., Niu, J., & Tse, K. T. (2019). Pedestrian-level wind and gust around buildings with a ‘lift-up’ design: Assessment of influence from surrounding buildings by adopting LES. Building Simulation, 12(6), 1107-1118. https://doi.org/10.1007/s12273-019-0541-5
  67. ZhangX., Tse, K. T., Weerasuriya, A. U., Kwok, K. C. S. Niu, J., Lin, Z., & Mak, C. M. (2018). Pedestrian-level wind conditions in the space underneath lift-up buildings, Journal of Wind Engineering and Industrial Aerodynamics, 179, 58-69. 
  68. Weerasuriya, A. U., Tse, K. T., Zhang, X.*, & Kwok, K. C. S. (2018).  Equivalent Wind Incidence Angle Method: A New Technique to Integrate the Effects of Twisted Wind Flows to AVA, Building and Environment, 139, 46-57. https://doi.org/10.1016/j.buildenv.2018.05.017
  69. Weerasuriya, A. U., Tse, K. T., Zhang, X.*, & Kwok, K. C. S. (2018). Integrating Twisted Wind Profiles to Air Ventilation Assessment (AVA): The Current Status, Building and Environment, 135, 297-307. https://doi.org/10.1016/j.buildenv.2018.03.024
  70. Weerasuriya, A. U., Hu, Z. Z., ZhangX., Tse, K. T., Li, S. W., & Chan, P. W. (2018). New inflow boundary conditions for modelling twisted wind profiles in CFD simulation of the pedestrian-level wind field near isolated buildings, Building and Environment132, 303-318. https://doi.org/10.1016/j.buildenv.2018.01.047
  71. Weerasuriya, A. U., Tse, K. T., Zhang, X.*, & Li, S. W. (2018). A wind tunnel study of effects of twisted wind flows on the pedestrian-level wind field in an urban environment, Building and Environment128, 225-235. https://doi.org/10.1016/j.buildenv.2017.11.041
  72. ZhangX., Tse, K. T., Weerasuriya, A. U., Li, S. W., Kwok, K. C. S., Mak, C. M., Niu, J., & Lin, Z. (2017). Evaluation of pedestrian wind comfort near ‘lift-up’ buildings with different aspect ratios and central core modifications. Building and Environment, 124, 245-257. https://doi.org/10.1016/j.buildenv.2017.08.012
  73. Tse, K. T., ZhangX.*, Weerasuriya, A. U., Li, S. W., Kwok, K. C. S., Mak, C. M., & Niu, J. (2017). Adopting “lift-up” building design to improve the surrounding pedestrian-level wind environment. Building and Environment117, 154–165.  https://doi.org/10.1016/j.buildenv.2017.03.011 
  74. Tse, K. T., Weerasuriya, A. U., ZhangX., Li, S. W., & Kwok, K. C. S. (2017). Effects of twisted wind flows on wind conditions in passages between buildings. Journal of Wind Engineering and Industrial Aerodynamics167, 87-100. https://doi.org/10.1016/j.jweia.2017.04.011
  75. Tse, K. T., Weerasuriya, A. U., Zhang, X., Li, S. W., & Kwok, K. C. S. (2017). Pedestrian-level wind environment around isolated buildings under the influence of twisted wind flows. Journal of Wind Engineering and Industrial Aerodynamics162, 12–23. https://doi.org/10.1016/j.jweia.2017.01.002

Projects and Fundings

  1. 2025-2028, National Natural Science Foundation of China: the influence of the collaborative application of photocatalysis and cold coating to the building surfaces on the subtropical urban microenvironment and building energy consumption (Pl)
  2. 2025 Participate in the NSFC-BHKAEC Academic Conference in Hong Kong. International Conference on Atmospheric Environment, Extreme Weather and Health Sciences
  3. 2024-2025 Guangdong Province Research Platform Open Fund/Project. Numerical Study on Uncertainties in Blue Space Planning and Simulation Technology of Typical Cities
  4. 2024, Meteorological disaster prevention and environmental meteorological center construction project of Hebei Province (Pl)
  5. 2024, Participated in the project of State Power Investment Corporation Guangxi nuclear power company
  6. 2022-2023, Young Researcher Fund of Sun Yat-sen University. indoor-outdoor coupling effects of droplet dispersion and riskidentification within typical public buildings (Pl)
  7. 2022-2024, University basic scientific research : indoor-outdoor coupling effects of droplet dispersion and riskidentification within typical public buildings (Pl)
  8. 2022-2025, Overseas High-Level Talent Recruitment Programs: Urban Wind Environment (Pl)
  9. 2022-2025, National Natural Science Foundation of China: indoor-outdoor coupling effects of droplet dispersion andinterpersonal exposure under typical meteorological conditions within urban communities (Pl)
  10. 2022-2025, Participated in key laboratory projects of Guangdong Province
  11. 2021-2023, Guangzhou Municipal Science and Technology Project. Mechanism study of natural ventilation in typical semiopen public buildings (Pl)
  12. 2021-2024, Participate in research plans in key areas of Guangdong Province
  13. 2020-2023, Science and Technology Planning Project of Guangdong Province: Typical lif-up design optimization based onsurrogate model and optimization algorithm(Pl)

Conference

2026

  • HKU Research Hub of Population Studies Workshop, Hong Kong

2025

  • The Third National Atmospheric Boundary Layer Exchange Conference, Zhuhai
  • The Second Low Altitude Economy Meteorological Frontier Technology Symposium, Hefei
  • The 36th Annual Conference of the Chinese Meteorological Society, Nanjing 9th European African Conference on Wind Engineering (EACWE9), Trondheim, Norway
  • The 10th Youth Geoscience Forum, Hefei
  • 2025 Future Earth Science and Application Conference, Jingdezhen
  • The 9th National Bioaerosol Symposium, Hangzhou International Young Scientist Workshop on Atmospheric Environment, Hong Kong

2024

  • The 1st Youth Forum on Atmospheric Boundary Layer Physics and Turbulence,Beijing
  • The 6th Symposium on Atmospheric Ozone Pollution Prevention and Control,  Qingdao
  • Academic Symposium of the Association of Young Atmospheric Scientists, Beihai
  • The 9th International Colloquium on Bluff Body Aerodynamics and Applications(BBAAIX), Birmingham, UK
  • National Urban Meteorology Academic Conference, Hangzhou
  • The 2nd National Forum on Atmospheric Boundary Layer Physics, Xingtai
  • Young Scholars Forum on Atmospheric Chemistry, Atmospheric Environment & Meteorological Health, Beijing
  • The 9th BRlCS Young Scientists Forum, Sochi, Russia

2023

  • Healthy buildings Asia 2023, Tianjin
  • HKWES5 Workshop, Hong Kong
  • Invited speech, ConferenceofChineseUrbanMeteorology2023, Xiong’an
  • Seminar, Lanzhou U, Lanzhou
  • International Conference for Global Chinese Academia on Energy and Built Environment, Shanghai
  • Section chair, ICWE16, Italy
  • The First National Atmosphere Boundary Layer Forum, Xiong’an
  • Work shop on Building and Simulation, Shenzhen
  • Symposium on Architecture and Simulation, Shenzhen
  • The 29th Conference on Atmospheric Environment Science and Technology,Online Conference
  • The First National Atmospheric Boundary Layer Forum, Xiong’an, Hebei
  • The 9th National Urban Meteorology Forum, Xiong’an, Hebei
  • The 3rd Chinese International Conference on Energy and Artificial Environment (CEBE2023),S hanghai
  • The 10th Annual Conference of Indoor Environment and Health Branch of Chinese Society of Environment Sciences, Wuhan
  • 16th International Conference on Wind Engineering (lCWE16), Florence, Italy
  • Hong Kong Wind Engineering Society Workshop 5(HKWES5), Kowloon

2022 & 2021

  • ROOMVENT2020.Xi’an
  • Conference.Chinese Society For Environmental Sciences, Tianjin
  • Young Scholars Forum,Nanjing
  • Invited speech, Xiamen U, Xiamen
  • Conference,Laboratory of Climate Change and Natural Disaster in Guangdong
  • Invited speech, IEHB2021, Wuhan
  • Seminar on COVlD-19, Changsha
  • Invited speech, Zhuhai Architectural Design Institute, Zhuhai
  • Young Scholars Forum of Atmospheric Environment, Beijing

2020

  • ABaCAS, Guangzhou
  • Young Scholars Forum of Atmospheric Environment, Nanjing
  • Seminar,Chinese Society of Particuology (CSP), Xiamen
  • ·The International Cooperation and Development Forum on Marine Economy 2020, Shenzhen