I am a machine learning researcher at SK hynix. I work at the intersection of hardware, software, and edge devices, in all of which focusing on the efficient execution of deep learning algorithms.
More About Me!
I got my Ph.D. in computer science from the Georgia Institute of Technology in 2021. I had the pleasure to work with Professor Hyesoon Kim at HPArch lab. My area of research falls within computer architecture but I usually outreach to new areas. Specifically, I worked on processing in/near memory, edge devices, robotics, and deep learning. My thesis focused on enabling edge and IoT devices (i.e., resource-constrained devices, robots, drones) to execute deep neural networks (DNNs) collaboratively, efficiently, securely, and reliably.
I received my bachelor’s degree from the Sharif University of Technology in electrical engineering, and my master’s degree from Georgia Tech in computer science. I spend most of my time in high school on astronomy, and ended up with couple of medals in national and international olympiads (two silvers and one gold). From astronomy to electronics and then computer science is a long road, but that is a story for another day.
I support Linux, open-source software, free Internet, and right to repair. I play all kinds of board and video games (mostly grand strategy games). I maintain my own car. I crave to play post-rock someday. I enjoy spending my time in nature. I play squash, tennis, ping pong, soccer, do rock climbing (bouldering specifically), cycling, skiing, and backpacking.