About Wu Wang Wu Wang Postdoctoral Research Fellow, Statistics Environmental Statistics spatial varying coefficients regression Wu Wang is a postdoctoral fellow at King Abdullah University of Science and Technology (KAUST) working with Professor Ying Sun in the environmental statistics research group. Education Wu Wang received his Ph.D. degree in June 2017 from Fudan University, China. He joined KAUST in September 2017 Wu Wang received his Bachelor's degree in 2008 from East China Normal University Research Interest Wu Wang' s research interests lie in spatial varying coefficients regression with application in particulate matter modeling. He is also interested in functional data analysis, especially functional linear Articles Related News November 2021 Deeper defense against cyber attacks 1 min read · Sun, Nov 28 2021 News cybersecurity machine learning Deep learning statistics To address the growing threat of cyberattacks on industrial control systems, a KAUST team including Fouzi Harrou, Wu Wang and led by Ying Sun has developed an improved method for detecting malicious intrusions. August 2019 Statistics plot pollution to inform policy 1 min read · Sun, Aug 18 2019 News Environmental Statistics climate science pollution The spatial variation in different air pollution components helps identify possible targets for pollution control.
Deeper defense against cyber attacks 1 min read · Sun, Nov 28 2021 News cybersecurity machine learning Deep learning statistics To address the growing threat of cyberattacks on industrial control systems, a KAUST team including Fouzi Harrou, Wu Wang and led by Ying Sun has developed an improved method for detecting malicious intrusions.
Statistics plot pollution to inform policy 1 min read · Sun, Aug 18 2019 News Environmental Statistics climate science pollution The spatial variation in different air pollution components helps identify possible targets for pollution control.
