첥Ƶ

Data & AI
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Research

Research Interests

  • Big Data Analytics and Machine Learning,
  • Responsible Data Science and AI
  • Data-Driven Systems and Stream Processing
  • Web Search, Graph Data and Knowledgebases
  • Data Quality and Data Integration

“The world’s most valuable resource is no longer oil, but data.” –, Leaders Section

Awards

  • Best System Demonstration Paper at the conference (2025)
    • REACT: REcourse Analysis with Counterfactuals and Explanation Tables
  • Research Enhanced Faculty within : Neural and Machine Systems for a Healthy, Just Society (2024)
    • Appointed till 2030 with $100K research startup support and an additional $25K per year of research allowance
    • Supported by the Canada First Research Excellence Fund (CFREF) and 50+ industry, hospital, and community partners
  • Best Poster at IEEE CASCON (2024)
    • Db2une: Tuning via Deep Learning
  • Faculty of the Year (2023)
  • Best Paper Honourable Mention at the conference (2022)
    • BLUTune: Query-informed Multi-stage IBM Db2 Tuning via ML
  • STU CLARK Asper School of Business (2022)
  • Runner-up IBM CAS (2021)
  • Dean’s Award for Academic Excellence (2019)
  • Faculty Fellow (2017)
  • Research Student-of-the-Year (2013)
  • CeBIT Business Award for Innovation (2007)
    • OCEAN GenRap Tool ()

Current and Past Collaborators

  • (AT&T Lab-Research)
  • and (University of Waterloo)
  • , , , and (IBM Lab)
  • (McMasters)
  • (University of Zurich)
  • , (University of Toronto)
  • , and (첥Ƶ)
  • , and (Toronto Metropolitan University)
  • and (Ontario Tech University)

Current Projects

  • Self-driven Data Systems (, , , )
  • Explainable AI (, , )
  • Graph Search ()

Future Students

Data & AI Lab is hiring again.

We are looking for talented graduate students in the broad areas of Big Data Analytics / Machine Learning / Data Science. Please, send an e-mail if you are interested in applying.