About Me

I am a Computer Science Assistant Professor based in Saudi Arabia. My research focuses on enhancing data usability through human-centered design and robust evaluation framework implementations. Additionally, I hold an active research footprint in computer science education, specifically tailoring methodologies for database architecture and data science curriculum design. I emphasize cross-disciplinary coordination, mapping optimized data analytics strategies onto complex spaces in engineering, data governance frameworks, and automated tooling platforms.

Graduate Supervisor: Rachel Pottinger (University of British Columbia)

Publications

  • Z Zolaktaf, O AlOmeir, R Pottinger, "Bridging the gap between user-centric and offline evaluation of personalized recommendation systems", UMAP’18 pdf
  • O AlOmeir, EY Lai, M Milani, R Pottinger, "The Pastwatch: On the usability of provenance data in relational databases", ICDE’20 pdf
  • O AlOmeir, EY Lai, M Milani, R Pottinger, "Summarizing Provenance of Aggregate Query Results in Relational Databases", ICDE’21 pdf
  • EY Lai, Z Zolaktaf, M Milani, O AlOmeir, J Cao, & R Pottinger, "Workload-Aware Query Recommendation Using Deep Learning." EDBT '23
  • O AlOmeir, EY Lai, M Milani, R Pottinger, "Summarizing Provenance of Aggregate Query Results in Relational Databases", TKDE'23 [Extended journal paper] pdf
  • MGH Al Zamil, O Khalid AlOmeir, "Context-Aware Data Imputation: Application of Domain-Agnostic Deep Imputation Network", IEEE Access’26

Theses

  • O AlOmeir, "A study of provenance in databases and improving the usability of provenance database systems", MSc Thesis pdf
  • O AlOmeir, "Provenance in relational databases: usability and applications", PhD thesis pdf

Research Roadmap & Road ahead