Ehsan is a Ph.D. fellow at the IT University of Copenhagen (ITU), Denmark. His current research focuses on resource-aware data science, developing mechanisms for improving the efficiency of the hardware resources for machine learning workloads, especially deep learning training tasks.
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 organization, systems, and architecture, GPUs, parallel computing systems, energy-efficient designs, machine learning, and deep learning.
- Ehsan Yousefzadeh-Asl-Miandoab
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