Currently serving as SiFive's VP of Hardware Engineering. Passionate about getting more women into the open source community. R & D interests include Chip Generators, Cryptographic Hardware, shared memory protocols, accelerating custom ASIC Design. Earned her Ph.D. in Electrical Engineering from Stanford University (w/ Prof. Mark Horowitz) and her undergraduate degree in Engineering from Brown University.

I am an Assistant Professor in the Computer Science and Engineering Department at University of California, San Diego. My research spans and stretches the boundary between computer architecture and system software, with an emphasis on memory and storage systems and domain-specific acceleration. I am particularly interested in architecting emerging memory technologies (e.g., nonvolatile memories and 3D-stacked memory) into future data centers and edge computing systems that execute various applications, e.g., machine learning, big-data analytics, smart home, and smart transportation. I am also interested in developing deep learning to help computer systems design and programming.

Atefeh Mehrabi is a PhD student at ECE department of Duke University. She is co-advised by Prof. Sorin and Prof. Lee. Her research focuses in the area of computer architecture. More specifically, she is exploring and trying to tackle challenges of emerging reconfigurable accelerators. She got her B.Sc degree from University of Tehran in 2016 in Electrical Engineering and her M.Sc degree in Computer Engineering from Duke in 2018.

I am currently a Ph.D. Research Scholar with the School of IT, Indian Institute of Technology Delhi, New Delhi, India.
My current research interests span the areas of architecture design and acceleration techniques for computer vision and image processing applications, designing convolutional neural network accelerators, and machine learning applications to computer architecture.