My research aims to empower users to: i) depend on data-driven decisions; and ii) simplify data-centric workflows. I focus on the architecture and implementation of data systems and tools. The goal is to make them more efficient and robust, and to enable new use cases through interface design.

I am interested in building usable systems and try to make my work open-source. Previously, I worked on GraphflowDB, a research prototype, and on its successor Kùzu, a spinoff from the University of Waterloo. I work as a researcher at Distyl AI and get to think about research problems starting from product requirements.

Selected Papers

A selection of papers representing my research style and current and prior interests.

	Optimizing One-time and Continuous Queries using Worst-Case Optimal Joins Amine Mhedhbi, Chathura Kankanamge, Semih Salihoglu. TODS 2021
	A+ Indexes: Tunable and Space-Efficient Adjacency Lists in GDBMSes Amine Mhedhbi, Pranjal Gupta, Shahid Khaliq, Semih Salihoglu. ICDE 2021
	LSQB: A Large-Scale Subgraph Query Benchmark Amine Mhedhbi, Matteo Lissandrini, Laurens Kuiper, Jack Waudby and Gábor Szárnyas. GRADES-NDA 2021
	The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing Siddartha Sahu, Amine Mhedhbi, Semih Salihoglu, Jimmy Lin, M. Tamer Özsu. VLDBJ 2019
	Optimizing Queries by Combining Binary and Worst-Case Optimal Joins Amine Mhedhbi, Semih Salihoglu. VLDB 2019
	Graphflow: An Active Graph Database Chathurah Kankanamge, Siddartha Sahu, Amine Mhedhbi, Jeremy Chen, and Semih Salihoglu. SIGMOD 2017

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