Luís Torgo
Scholar

Luís Torgo

Google Scholar ID: 2vyIvbsAAAAJ
Canada Research Chair, Professor, Faculty of Computer Science, Dalhousie University
Data ScienceData MiningMachine Learning
Citations & Impact
All-time
Citations
7,635
 
H-index
38
 
i10-index
63
 
Publications
20
 
Co-authors
52
list available
Resume (English only)
Background
  • Canada Research Chair (Tier 1) in Spatiotemporal Ocean Data Analytics and Professor at the Faculty of Computer Science, Dalhousie University, Canada
  • Associate Professor at the Department of Computer Science, Faculty of Sciences, University of Porto, Portugal
  • Invited Professor at the Stern Business School, New York University, teaching in the Master of Science in Business Analytics program in recent years
  • Research focuses on Data Science, particularly Predictive Analytics for spatial, temporal, or spatiotemporal data
  • Recent work emphasizes modeling rare events with applications in fraud detection, extreme value prediction, and anomaly monitoring
  • Strong advocate of the R programming language; author of the widely acclaimed book 'Data Mining with R' (1st ed. 2010, 2nd ed. 2017, CRC Press)
  • Co-founder and CEO of KNOYDA, a company specializing in data science training and consulting
  • Deputy Director of the Institute for Big Data Analytics at Dalhousie University and leads the Ocean Data Analytics research lab
  • Head of the Research Cluster on Big Data Analytics, AI and Machine Learning at Dalhousie’s Faculty of Computer Science
  • Senior researcher at LIAAD/INESC Tec and associate member of the Artificial Intelligence Institute, University of Waikato