Geoff Webb
Scholar

Geoff Webb

Google Scholar ID: _1tpf8AAAAAJ
Professor, Department of Data Science and Artificial Intelligence, Monash University
Machine LearningData SciencePattern DiscoveryTime Series ClassificationConcept Drift
Citations & Impact
All-time
Citations
21,695
 
H-index
65
 
i10-index
204
 
Publications
20
 
Co-authors
101
list available
Contact
No contact links provided.
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • 2024 IEEE ICDM Research Contributions Award
  • 2023 IEEE ICDM 10-year Highest Impact Paper Award
  • 2022 PAKDD Distinguished Research Contributions Award
  • Inaugural 2017 Eureka Prize for Excellence in Data Science
  • 2016 Australian Computer Society's ICT Researcher of the Year Award
  • 2016 Australasian Artificial Intelligence Distinguished Research Contributions Award
  • 2014 Australian Research Council Discovery Outstanding Researcher Award
  • 2013 IEEE ICDM Service Award
  • Recognized as Australia's leading researcher in Data Mining and Analysis
  • Named Australia's leading Bioinformatics and Computational Biology researcher for multiple consecutive years
  • Listed among Australia's Top 250 Researchers
  • IEEE Fellow
  • Member of the CORE Academy
  • Has held prominent editorial and conference leadership roles
Background
  • Australian Laureate Fellow
  • Affiliated with the Department of Data Science and Artificial Intelligence at Monash University
  • Research interests include data mining, machine learning, and association discovery
  • Many of his algorithms are integrated into widely-used machine learning platforms such as Weka, R, and sklearn
  • His commercial association discovery system, Magnum Opus, is a core component of the BigML cloud-based machine learning platform
  • Serves as a technical advisor to BigML, Inc. and FROOMLE