Dr Qing Wang

Qing Wang, CECS, ANU
PhD (Computer Science)
+61 2 6125 4625

Dr. Qing Wang joined the Research School of Computer Science in April 2012. She leads the Database Group at the Research School of Computer Science, ANU. Prior to this, She was an Information Systems Analyst at the PBRF team, Deputy Vice Chancellor's Office (Research),  University of Otago, New Zealand. She has over a decade of industry experience in China and New Zealand in the areas of databases, data management and analysis. 


Dr. Qing Wang received her Ph.D. (Dr.rer.nat.) in Computer Science (Summa Cum Laude) from Christian-Albrechts-University Kiel, Germany, in 2010. Before that, she received a Master of Information Systems (First Class Honours) from Massey University, New Zealand, a Master of Economics from Jinan University and a Bachelor of Engineering from South China University of Technology, China.

Fellowships, grants & awards

Dr. Qing Wang is a Fellow of the Higher Education Academy (HEA) since December 2015 and obtained ANU Dean's Award for Teaching Excellence in 2015. She received the Best Paper Award at the 33rd International Conference on Conceptual Modeling in 2014, and the Best Paper Award at the IEEE Asia-Pacific Services Computing Conference in 2009. She is a chief investigator in the ARC Discovery Project "Creating the social genome: Advanced techniques for linking dynamic data" together with Prof. Peter Christen and Prof. Erhard Rahm, 2016-2018, and a co-investigator in the project "Advancing data integration: Privacy and semantics for record linkage" funded under the 2015-2016 Australia-Germany Joint Research Cooperation Scheme. She has won Excellence Grant by the Governor of Upper-Austria, Austria, 2013, an Endeavour Research Fellowship Award, Australia, 2012 (declined), Research Grant for Doctoral Candidates and Young Scientists and Academics, German Academic Exchange Service (DAAD), Germany, 2010, Bright Futures Top Achiever Doctoral Scholarship, Tertiary Education Commission, New Zealand, 2006-2009, Todd Foundation Award for Excellence, New Zealand, 2005.


My research broadly lies in the areas of databases, data mining, data modelling and knowledge reasoning. Nowadays, the challenges of data management and analysis are ubiquitous. Government sectors, industry companies and research communities all struggle with managing data because data often exists in various forms (e.g. relations, graphs, and plain texts), has poor quality and is available on a large-scale. With regards to these challenges, my research activities are centered around two general tasks:

  • Tackling challenges faced by government sectors, industry companies, and research communities.
  • Managing data with guaranteed quality, improving effciency for large-scale data processing, and discovering useful knowledge from imperfect data.

Areas of research 

Database theory and applications; Data mining; Data management and analysis; Active learning; Knowledge reasoning


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PhD Student

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PhD Scholar

Fangbing Liu  »

Phd Student

Mr Omid Rezvani »

Phd Candidate

Jingyu Shao »

PhD Student

Asiri Wijesinghe »

PhD Candidate

Ghodai Zaki »

Phd Student

Past and current duties

Other duties


COMP7000 series courses
Code Title Year 20.. Semester
COMP7240 Introduction to Database Conce... 18, 19 Summer

Updated:  1 June 2019/Responsible Officer:  Dean, CECS/Page Contact:  CECS Marketing