معرفی
Dr. Qing Wang is an Associate Professor at the Australian National University (ANU) since 2012, leading the Graph Research Lab and the Database Group within the School of Computing. Her research focuses on graph machine learning, data management, and algorithms for dynamic networks. With over a decade of industry experience in data analysis and management, she holds a PhD in Computer Science (Summa Cum Laude) from Christian-Albrechts-University Kiel, Germany.
Education:
- PhD (Dr.rer.nat.) in Computer Science, Christian-Albrechts-University Kiel, Germany (2010)
- Master of Information Systems (First Class Honours), Massey University, New Zealand (2009)
- Master of Economics, Jinan University, China
- Bachelor of Engineering, South China University of Technology, China
Research Interests: Dr. Wang explores cutting-edge techniques in graph machine learning, scalable algorithms for large-scale data, and knowledge tracing. Her work bridges theoretical foundations with practical applications, such as improving graph neural networks' expressivity and optimizing distance queries on dynamic road networks. She actively contributes to the development of tools for data integration and privacy-preserving analytics.
Grants & Awards:
- ARC Discovery Project (2021–2023): 'Deep Learning for Graph Isomorphism'
- ARC Discovery Project (2016–2018): 'Creating the Social Genome'
- ANU Dean’s Award for Teaching Excellence (2015)
- Fellow of the Higher Education Academy (2015)
Labs & Teams: She leads the Graph Research Lab, focusing on advancing graph algorithms and their applications in real-world systems. Her team collaborates on projects involving dynamic data integration, privacy-preserving techniques, and educational data analytics.
