Multiple papers accepted at top international conferences such as NeurIPS24, EMNLP24, ICLR24, etc.; 'ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations' was selected as the best paper at SC22.
Research Experience
Research Assistant at Scalable Parallel Computing Lab; interned at Apple, Amazon, and Microsoft.
Education
Received a Master's degree in Computer Science from Sharif University of Technology in 2019, advised by Professor Amir Daneshgar; currently a Ph.D. student at ETH Zurich, Computer Science Department.
Background
A Ph.D. student in the Computer Science Department of ETH Zurich, advised by Professor Torsten Hoefler and Professor Dan Alistarh. His research focuses on accelerating deep neural network training and developing systems and algorithms for large-scale graph processing. He is also an associated doctoral student of the ETH AI Center.