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Chow Yei Ching School of Graduate Studies

Alumni Achievement


Dr. PENG Taiquan

Doctor of Philosophy (2008)
Department of Media and Communication, CityU

Associate Professor
Department of Communication
Michigan State University, USA

“I am an Associate Professor with tenure at the Department of Communication, Michigan State University, USA. I studied at the Department of Media and Communication, City University of Hong Kong (CityU) from 2005 to 2008 under the supervision of Prof. Jonathan Zhu. During my 3-year study at CityU, I was awarded three Research Tuition Scholarships and two Outstanding Academic Performance Awards for Research Degree Students. After obtaining my PhD in 2008, I worked as a research fellow at the Web Mining Lab of CityU from 2008 to 2009. Then I worked as an Assistant Professor at Macau University of Science and Technology from 2009 to 2013 and at Nanyang Technological University of Singapore from 2013 to 2016.

I was well vested in cutting-edge interdisciplinary research. I have published 17 articles in SCI/SSCI-indexed journals, with 13 in Q1 journals in Communication (e.g., Communication Research, New Media & Society), Information Science and Library Science (e.g., Journal of the American Society for Information Science and Technology, Scientometrics), Computer Science (i.e., IEEE Transactions on Visualization and Computer Graphics), Medical Informatics (i.e., International Journal of Medical Informatics), and Public Health (i.e., AIDS Care). My research has been supported by grants from both the industry and government agencies, including Macao Foundation, General Research Fund (Hong Kong), Microsoft Research, Academic Research Fund (Singapore), National Research Foundation (Singapore), and National Social Science Research Foundation (China).

I cofounded, with Prof. Jonathan Zhu, the Interest Group on Computational Methods within International Communication Association and have been elected the inaugural Chair of the Group in 2016. I am also a Corresponding Member of the China Computer Federation (CCF) Task Force on Big Data.” (Dec 2016)
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