erdem at buffalo dot edu
323 Davis Hall
Buffalo, New York 14260
My research is on large-scale graph mining, management, and learning. I develop algorithms and models to enable practical and insightful graph analytics for the real-world data which can be large, streaming, incomplete, and noisy.
Previously, I was the John von Neumann Post-doctoral Fellow at Sandia National Labs in Livermore, CA. I got my Ph.D. from the Computer Science and Engineering Department at the Ohio State University under the supervision of Ümit V. Çatalyürek (now at Georgia Tech).
I received NSF CAREER award and University at Buffalo Exceptional Scholar - Young Investigator Award in 2023. My work has been generously supported in part by grants from NSF and J.P. Morgan Chase AI.
|New paper: Using Motif Transitions for Temporal Graph Generation, to appear in SIGKDD 2023
|New promotion: I got tenure! I’m promoted to Associate Professor effective of Sep 2023. Thanks to all involved!
|New grant: CAREER: Temporal Network Analysis: Models, Algorithms, and Applications, thanks to NSF!