Sajad Faghfoor Maghrebi

This is the personal academic homepage of Sajad Faghfoor Maghrebi, a fourth-year PhD student in the SysNet group at the University of Toronto, working with Prof. Niv Dayan at ORCA Lab. His research focuses on scalable vector indexes, cache-aware data structures, and AI infrastructure, aiming to design data structures that are both theoretically sound and practically fast on real hardware. The site lists his publications, including work on graph-based vector search and a succinct perfect hash index, along with his education history at the University of Toronto and Sharif University of Technology. It also covers his teaching assistant roles and prior software engineering experience, plus personal interests like bouldering, hiking, and poetry.