A. Erdem Sarıyüce

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.

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