Ibrahim Sabek

Profile
Education
Ph.D., Computer Science, University of Minnesota; recipient, University-wide Best Doctoral Dissertation Honorable Mention Award
M.S., Computer Science, University of Minnesota
M.S., Computer and Systems Engineering, Alexandria University
B.S., Computer and Systems Engineering, Alexandria University
Recent Publications
“Optimizing Video Selection LIMIT Queries With Commonsense Knowledge”, Wenjia He, Ibrahim Sabek, Yuze Lou, and Michael Cafarella
International Conference on Very Large Data Bases (VLDB), 2024
“The Case for Learned In‑memory Joins”, Ibrahim Sabek and Tim Kraska International Conference on Very Large Data Bases (VLDB), 2023
“Can Learned Models Replace Hash Functions?”, Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, Michael Mitzenmacher, and Tim Kraska
International Conference on Very Large Data Bases (VLDB), 2023
“LSched: A Workload‑Aware Learned Query Scheduler for Analytical Database Systems”, Ibrahim Sabek, Tenzin Samten...