Data Analytics for Engineering

Supplemental content

Contact us

If you're interested in developing or using learning technology solutions, accessing our world-class expertise and research facilities, or collaborating with our information and communications experts, contact:

Pierre Charron
Telephone: 613-990-0336
LinkedIn: Pierre Charron

Targeted industries

Oil and gas, mining, defence, communications, training companies, software systems providers in learning management


Technical service highlights

NRC’s Data Analytics for Engineering team analyzes time and space dependent data that are produced by sensors and arise from the evaluation of complex engineered systems found in physical assets such as vehicles and buildings.

The team offers the competencies required to analyze data in time and space, including statistics and other mathematical techniques, numerical modelling, machine learning and artificial intelligence.

What we offer

The Data Analytics for Engineering group offers reduced equipment life-cycle costs and increased availability by:

  • modelling performance
  • tracking health
  • identifying abnormal conditions and
  • predicting failures

Why work with us

We collaborate with clients and partners from industry, academia and government to develop technologies that address their needs. NRC offers:

  • Expertise in programming: JavaScript, Java, J2EE, JUnit, MySQL, Oracle, SQL, XML, Weka, portlets
  • e-learning technologies and standards: SCORM, LOM, IMS-LD, IMS-CC, IMS-QTI, IMS-CP, LDL, SLD
  • Case and rule-based reasoning
  • Classification/clustering
  • Client relationship management
  • Collaborative filtering
  • Data mining and analysis
  • Decision analysis
  • Human perception modelling
  • Image processing
  • Inference engines
  • Knowledge management
  • Learner profiling
  • Machine learning
  • Metadata aggregation, syndication and metadata resource recommendation
  • Natural language understanding
  • Operations research
  • Preference elicitation
  • Privacy
  • Project management
  • Recommender systems
  • Rule-based systems
  • Social metrics
  • Social network analysis
  • Statistical analysis
  • Supply-chain management
  • Web content crawling/retrieval
  • Web content search


Pierre Charron, Business Advisor
Telephone: 613-990-0336
LinkedIn: Pierre Charron

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