I am a Ph.D. student at UWaterloo advised by Prof. Semih Salihoglu. I am a member of the Data Systems Group and I work on Graphflow, a next-gen graph database system.

My research focuses on understanding and developing new techniques across the database stack to improve the performance of executing graph analytical workloads. My prior work explores the interplay between worst-case optimal join algorithms and traditional binary join processing under a hybrid cost-model. Currently, I am working on designing flexible storage for faster graph traversal and using factorized processing to improve graph database query executors.

Email / Résumé / Github / Twitter

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Publications [Google Scholar]

• Optimizing Subgraph Queries by Combining Binary and Worst-Case Optimal Joins
  A. Mhedhbi, S. Salihoglu. PVLDB, August 2019.
• The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing: Extended Survey
  S. Sahu, A. Mhedhbi, S. Salihoglu, J. Lin, M. T. Özsu. VLDBJ, 2019.
• The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing (Best Paper Award)
  S. Sahu, A. Mhedhbi, S. Salihoglu, J. Lin, M. T. Özsu. PVLDB, August 2018.
• Graphflow: An Active Graph Database (Demonstration Track)
  C. Kankanamge, S. Sahu, A. Mhedhbi, J. Chen, and S. Salihoglu. SIGMOD, May 2017.

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