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Personal profile


Dr. Asiri Umenga Weerasuriya has obtained BSc. (Hons) and MSc in Civil Engineering at the University of Moratuwa, Sri Lanka in 2008 and 2011 prior joing the Hong Kong University of Science and Technology (HKUST), Hong Kong in 2011. He has earned a PhD in Civil Engineering from HKUST in 2011. Dr. Asiri's research interests are broadly in Civil and Wind Engineering with special research areas of wind loading of buildings, pedestrian level wind environment, natural ventilation of buildings, air pollution dispersion in built-up areas, building design optimization, and expalinable machine learning in wind engineering applications. Dr. Asiri is an expert user in computational fluid dynamics (CFD) simualtions, experienced wind tunnel modeler, and  avid explorer in machine learning applications in wind engineering. 

Research interests

  • Pedestrian-level wind environment
  • Air Ventilation Assessment
  • Natural ventilation of buildings
  • Air pollution dispersion in built-up areas
  • Explainable machine learning


BSc (Hons) [Sri Lanka], MSc [Sri Lanka], PhD [HKUST], AMIESL, AFHEA


Research Associate (2019 December - 2022 July),  The Hong Kong University of Science and Technology
Senior Research Associate (2018 December - 2019 November) - The University of Hong Kong

Postdoctoral Fellow (2016 Febriary - 2018 November) - The Hong Kong University of Science and Technology

Teaching Assistant (2011 September - 2015 August) - The Hong Kong University  of Science and Technology

Lecturer (2011  February - 2011 August) - The University of Moratuwa, Sri Lanka


Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy
  • SDG 11 - Sustainable Cities and Communities
  • SDG 13 - Climate Action


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Collaborations and top research areas from the last five years

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