The Data Science Lab
since 2005
  • Home
  • Research
      • Research grants
      • Research interests
      • Research leadership
      • Student theses
      • Humanoid Ameca
      • AI Server
        • GPU
        • Request
        • Allocation
  • Consultancy
      • Consulting projects
      • Cooperate training
      • Enterprise innovation
      • Impact cases
      • Our clients
      • Partnership
  • People
      • Awards and honors
      • Staff
      • Team members
  • Activities
      • Events and services
      • Talks
      • Tutorials
      • Workshops
  • Publications
  • Communities
      • ACM ANZKDD Chapter
      • Big data summit
      • Data Analytics book series
      • DSAA conferences
      • IEEE TF-DSAA
      • IEEE TF-BESC
      • JDSA Springer
      • DataSciences.Info
      • MQ's AI Lab
  • Spotlights
      • Actionable knowledge discovery
      • Agent mining
      • AI: Artificial-intelligence
      • AI4Tech: AI enabling technologies
      • AI4Finance: AI for FinTech
      • AI robots & humanoid AI
      • Algorithmic trading
      • Banking analytics
      • Behavior analytics, computing, informatics
      • Coupling and interaction learning
      • COVID-19 global research and modeling
      • Data science knowledge map
      • Data science dictionary
      • Data science terms
      • Data science tools
      • Data science thinking
      • Domain driven data mining
      • Educational data mining
      • Large-scale statistical learning
      • Metasynthetic engineering
      • Market surveillance
      • Negative sequence analysis
      • Non-IID learning
      • Pattern relation analysis
      • Recommender systems
      • Smart beach analytics
      • Social security analytics
      • Tax analytics
  • About us
Awards and honors

 
Our team members received various prestigious awards and honors, e.g.:

  • 2023 Graduate Zhilin Zhao was awarded Distinguished Young Scholars (Overseas) by NSF of China, 2024
  • 2023 Graduate Qi Zhang was awarded Distinguished Young Scholars (Overseas) by NSF of China, 2024
  • Peizhen Li received the Google PhD Fellowship, 2024
  • 2019 Graduate Liangh Hu was awarded Distinguished Young Scholars (Overseas) by NSF of China, 2021
  • Guansong Pang. Non-IID Outlier Detection with Coupled Outlier Factors, PhD thesis, 2018. UTS Chancellor’s Thesis List, 2019
  • Longbing Cao. Eureka Prize for Excellence in Data Science, Australian Museum, 2019
  • Longbing Cao. Australian Research Council Future Fellowship (Level 3), 2019
  • Qi Zhang, First Place, UTS School of Computer Science HDR Student Research Showcase, 2019
  • Jinjiu Li, Can Wang, Wei Wei, Mu Li, Chunming Liu. Efficient Mining of Contrast Patterns on Large Scale Imbalanced Real-Life Data. Best Student Paper Award, PAKDD2013, 62-73, 2013
  • Longbing Cao and Ruwei Dai. Agent-Oriented Metasynthetic Engineering for Decision Making, IJITDM, 2(2): 197-215, 2012, Herbert Simon Award for Outstanding Contribution in Information Technology and Decision Making
  • Tao Yang, Longbing Cao, Chengqi Zhang. A Novel Prototype Reduction Method for the K-Nearest Neighbor Algorithm with K>=1, Best Paper Runner up Award, PAKDD2010, 89-100, 2010
  • Longbing Cao, et al. Social Security Data Mining for Public Services, IEEE ICDM2010 Top-10 Data Mining Case Studies, 2010
  • 操龙兵、戴汝为. 开放复杂智能系统: 基础、概念、分析、设计与实施(Longbing Cao, Ruwei Dai. Open Complex Intelligent Systems: Fundamentals, Concepts, Analysis, Design and Implementation, in Chinese), ISBN: 9787115172488, Posts & Telecom Press, China, 2008, “十一五”国家重点图书出版规划项目(The 11th Five-Year National Key Book Publishing Planning Project) and “三个一百”原创出版工程(”Three Hundred” Original Publishing Project).
About us
School of Computing, Faculty of Science and Engineering, Macquarie University, Australia
Macquarie University Frontier AI Research Centre
Level 3, 3 Innovation Road, Macquarie University, NSW 2109, Australia
Tel: +61-2-9850 9583
Staff: firstname.surname(a)mq.edu.au
Students: firstname.surname(a)student.mq.edu.au
Contacts@datasciences.org