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
Past and current duties
- Associate Director (Education Partnerships) at the Research School of Computer Science, Apr 2018 - present
- Student experience convener for postgraduate coursework students at the Research School of Computer Science, Oct 2015 - Mar 2018
- Program convener for Bachelor of Applied Data Analytics, Jan 2016 - Dec 2017
- Program convener for Master of Applied Data Analytics, Jul 2016 - Dec 2016
- Course convener for COMP7240 Introduction to Database Concepts, 2017 - 2018
- Course convener for COMP2400/COMP6240 Relational Databases, 2012 - 2016
- Coordinating the Internship programs at Research School of Computer Science (https://cs.anu.edu.au/student-internships/), June 2018 - present
- Leading the DataAnalytics-Bench project (https://cs.anu.edu.au/dab/), June 2017 - present