AIWE- Artificial Intelligence for Wind Engineering

Professor

Yiqing Xiao Professor

E-mail：
Profile：

xiaoyq@hit.edu.cn
Typhoon characteristics
Wind effects on tall buildings
CFD numerical simulation
Typhoon wind field simulation and risk analysis
Structural health monitoring and safety assessment
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Kam Tim TSE Professor

E-mail：
Profile：

timkttse@ust.hk
Wind tunnel modeling
Wind effects on buildings
Building aerodynamics
Structural dynamics
Wind comfort in built environment
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Kenny Kwok Professor

E-mail：
Profile：

kenny.kwok@sydney.edu.au
When wind encounters obstacles – whether natural such as forests or human-made such as buildings – wake and vortices are generated, with the disturbed wind characterised by highly turbulent flow and with rapidly changing magnitude and direction. This phenomenon can have serious safety and health implications, as it can result in building and infrastructure damage, widespread dispersal of airborne diseases and pollutants and other issues. Professor Kenny Kwok’s research seeks to better understand the interactions between wind and obstacles, in order to mitigate such adverse effects.
“Turbulent winds can have profound effects on us and our environment. The current outbreak of COVID-19 is a timely reminder of the dangers posed by the spread of airborne contaminants. Previous research of mine has investigated the role of wind behaviour in the spread of disease among high-rise buildings in a densely populated residential housing estate in Hong Kong during the worldwide outbreak of Severe Acute Respiratory Syndrome (SARS) in 2002–2003 – the results of which are also applicable to other airborne pathogens.
“The 2009 Black Saturday bushfires generated bushfire-enhanced winds that caused significant damage to homes and infrastructure, as well as to forests. Some of my current research focuses on the interactions of these types of winds with buildings and other obstacles, with a view to building this understanding into future design and planning.
“Another phenomenon I am currently investigating is exactly how prolonged exposure to low-frequency, low-acceleration, wind-induced motion in high-rise buildings can cause motion sickness–like symptoms in some occupants, adversely affecting their wellbeing and work performance. To this end I have designed and developed unique simulators to research these neurophysiological and psychological responses, with the ultimate goal of mitigating their adverse effects.
“These are just some of the interactions between turbulent winds and the obstacles in their environment that I explore in my research.”
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Ahsan Kareem Professor

E-mail：
Profile：

kareem@nd.edu
Database-enabled design, advanced analysis framework and monitoring of tall buildings, long span bridges and wind turbines
Damping and design of “Aqua Sloshers” (liquid dampers)
Safety and risk assessment, performance-based design and impact of climate change
Characterization and modeling of extreme winds, e.g., hurricanes and thunderstorms
Development of cyber-based virtual collaborative research platforms, living laboratories and crowd sourcing the design of civil infrastructure
Wavelets, shapelets, Volterra systems, POD and DMD for data analysis and modeling
Scientific machine learning, surrogate modeling, data analytics, digital twins
Computational fluid dynamics
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Bernd Noack Professor

E-mail：
Profile：

bernd.noack@hit.edu.cn
Bernd R. Noack is full professor at Harbin Institute of Technology, Shenzhen, China since 2020. He is also honorary professor and Chair of “Turbulence Control” at the Technical University of Berlin. Before entering HIT, he was Director of Research at the French National Research Center (CNRS), LIMSI (Paris-Saclay), Professor and Chair of “Flow Modeling and Control” at the Technical University of Braunschweig and Professor and Chair of “Reduced-Order Modeling for Flow Control” at the Technical University of Berlin. Earlier affiliations include the United Technologies Research Center (USA), the Max-Planck Society (Germany), the German Aerospace Center and the University of Goettingen (Germany).
He develops closed-loop turbulence control solutions for greener transport and energy in an interdisciplinary effort with leading groups in China, Europe, and USA/Canada. His team is advancing the frontiers of nonlinear control-oriented reduced-order models and artificial intelligence / machine learning control, an automated learning of control laws in the experiment. He has co-authored over 200 refereed publications, including 2 patents, 2 textbooks and over 100 journal articles. His work has been honored by numerous awards, e.g., a Fellowship of the American Physical Society for “pioneering contributions to turbulence control”, a CNRS Scientific Excellence award, a Senior ANR Chair of Excellence in France, and an annual von Mises Award of International Association of Applied Mathematics and Mechanics. His publications are highly cited: 17 have become citation classics and 2 articles received the ISI Thomson highly cited distinction.
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Chao Li
Professor

E-mail：
Profile：

lichaosz@hit.edu.cn
Wind engineering
Offshore wind power and support structures
Urban wind environment
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Jie Song
Professor

E-mail：
Profile：

songjie@whu.edu.cn
Structural Engineering, Wind Engineering, CFD
CV

Fei Ding
Dr

E-mail：
Profile：

fding@nd.edu
Structural Engineering, Wind Engineering, CFD
CV

People