Summary
Elaheh Sadredini is an assistant professor and researcher with a decade of experience blending accelerator-driven, application-specific architectures with emerging memory technologies and applied machine learning. She earned a PhD in Computer Science from the University of Virginia (3.98 GPA) and has built practical accelerator solutions during research stints at eBay and Apple, plus internships in Europe, giving her work both academic rigor and industry impact. Her research spans in-memory and near-data computing, reconfigurable spatial accelerators, and performance optimization across GPUs, FPGAs, and Automata Processors, with a knack for translating theory into hardware-aware systems. Based in Charlottesville, she leads projects that unite automaton-based algorithms and novel cache/memory ideas to accelerate data mining, ML, and graph workloads. Notably, her background combines top academic grades and cross-continent internship experience, signaling strong technical depth and an ability to collaborate with industry partners.
10 years of coding experience
9 years of employment as a software developer
Master's degree, Computer Engineering, GPA: 4.00, Master's degree, Computer Engineering, GPA: 4.00 at Iran University of Science and Technology
Doctor of Philosophy (Ph.D.), Computer Science, GPA: 3.98, Doctor of Philosophy (Ph.D.), Computer Science, GPA: 3.98 at University of Virginia
English, German, Persian, Arabic