Chee Wei Tan

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City University of Hong Kong
83 Tat Chee Avenue, Kowloon
Hong Kong

Email: cheewtan [at] cityu.edu.hk
Phone: +852 3442 7652; Fax: +852 3442 0503

  • I am an Assistant Professor at the City University Hong Kong. Previously, I was a Postdoctoral Scholar in the Rigorous Systems Research Group at the Dept. of Computing and Mathematical Sciences at Caltech with Prof. Steven H. Low. I received my PhD in Electrical Engineering from Princeton University in 2008, and was with the Edge Lab at Princeton. My PhD advisor was Prof. Mung Chiang. I have worked at Fraser Research Lab and Qualcomm R&D (QRC). I also did my doctoral work as a Visiting Scholar at the Coordinated Science Lab of UIUC. I received my B.S. in Electrical Engineering from the National University of Singapore. I am currently serving as the Chair of the IEEE Information Theory Society Hong Kong Chapter and as an Editor for the IEEE Transactions on Communications.

    My research interests include networks, statistical inference in online data analytics, cyber security, smart grid, mobile computing, internet-of-things, optimization theory and its applications.

    I received the 2008 Wu Prize for Excellence from Princeton University and a 2011 IEEE Communications Society Asia-Pacific Outstanding Young Researcher Award. I received a 2013 NSF/TCPP Curriculum Initiative Early Adopter Award for parallel computing in network science. I was a selected participant at the 2013 U.S. National Academy of Engineering China-America Frontiers of Engineering Symposium.

    I am organizing the 2015 IEEE Hong Kong-Taiwan Joint Workshop on Information Theory and Communications on 19-20 January 2015 in Hong Kong.

Recruiting Postdoc/Research Fellows

We are recruiting two Postdoctoral Scholars and a few Research Assistants in our group to work on: (1) cyber security related to online social networks, computer networks and smart grid and (2) distributed data storage and security related to cloud computing and big data. Postdoc candidates are expected to have strong background in networking and signal processing and preferably graph theory, probability theory, information and optimization theory. Research assistants are expected to be strong in software programming and development.

Recent Publication