CV

Ehsan is a PostDoc researcher at the IT University of Copenhagen (ITU), Denmark. His current research focuses on the efficiency of the hardware resources for emerging applications, especially machine learning workloads, and deep learning training tasks.

He received his PhD degree from the IT University of Copenhagen. His PhD thesis focused on studies and designs for tackling GPU underutilization challenge for deep learning training tasks. Furthermore, during his master's degree in computer architecture, he worked on improving GPU energy efficiency by redesigning their on-chip memories at the microarchitectural level.

His research fields of interest are computer systems, and architecture, GPUs, parallel computing systems, energy-efficient designs, employing machine learning, and deep learning for efficient system design.