Yang Wang, Professor

Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, China

Yang Wang is a Professor at the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences. He obtained his Ph.D (2008) in computer science from the University of Alberta, Canada. He has engaged in research in the field of parallel distributed computing including cloud computing, big data processing, and high-performance computing for more than 20 years. He once worked for many universities and research institutions, including the Institute of Computing Technology of the Chinese Academy of Sciences, University of Alberta, Canada, National University of Singapore, University of New Brunswick, the IBM Atlantic Advanced Research Center in Canada, and Illinois Institute of Technology in the United States. He has led and participated in many research projects in cloud computing, big data engineering and others in different countries. His research interest includes virtual machine scheduling, virtual machine communication, cloud storage systems, cloud and edge computing, and big data processing frameworks. In the past five years, he has published more than 50 papers in important international academic journals such as Communications of the ACM, IEEE TC, IEEE TPDS, IEEE TMC, IEEE TCC, ACM TOS, ACM TOIT，ACM TAAS, and technical conferences such as INFOCOM, IPDPS, ICPP, UbiComp, etc. He also obtained Canada Alberta Innovation Fund Award (2009-2011), Canadian Fulbright Scholar Award (2014-2015), Best Paper Nomination (Cluster 2016), Best Paper Award (IEEE UIC2018), and Best Student Paper (IEEE Edge2020). He is currently an invited reviewer for the American Mathematical Society's authoritative journal, Mathematical Review (2016), an adjunct professor with Xiamen University, China.