Atefeh Sohrabizadeh is one of 15 winners of the Cadence Women in Technology Scholarship. Atefeh joined the Ph.D. program in UCLA Computer Science Program in Fall 2018. Her research interests lie in parallel architecture and programming. She is involved in research projects focusing on customized computing for deep learning applications and raising the abstraction level for FPGA design and was the lead author of the FlexCNN (FPGA’20) and AutoDSE (pre-print available on arXiv).
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