Research

  • Data Science:  business data analytics, biomedical data analytics, engineering data analytics, data science platforms
  • High Performance Computing:  multi-core processors, GPUs, processor clusters, cloud computing

Objective:

To create enabling technology (high performance computing systems) for solving data intensive and/or computationally hard problems in business data analytics, biomedical data analytics and engineering data analytics.

Projects:

  • High performance data analytics for business intelligence: Real-time online analytical processing (OLAP) for multi-core and cloud architectures
  • High performance biomedical computing: Protein data analytics for protein-protein interaction prediction and drug design
  • High performance data science platforms: Auto-tuning Hadoop and Spark

Consult our publications for details.

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Research supported by:
ibm   nserc   mitacs   soscip   compute-canada   hpcvl   cfi   ontario   arc   qcif