Dr. Qing Wang joined the Research School of Computer Science in April 2012. She leads the Database team. 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 current research lies in the areas of "data management". Nowadays, the challenges of data management 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 answering two questions: (1) how can data from different sources be linked in a meaningful way; and (2) how can data be used for providing useful knowledge?
Areas of research:
Database theory and applications; Data mining; Data management and analysis; Active learning; Conceptual modelling; Knowledge reasoning; Formal specification and verification
- Fellow of the Higher Education Academy (HEA), since December 2015
- ANU Dean's Award for Teaching Excellence, 2015
- Student experience coordinator at the Research School of Computer Science, ANU, October 2015 - present
- Course convenor of COMP2400/COMP6240 (Relational Databases), since 2012