Morteza Nabavinejad

Assistant Professor at University of Washington Tacoma

Tacoma, Washington, United States
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Summary

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Senior
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Morteza Nabavinejad is an assistant professor and energy-aware computing researcher with 11 years of experience focused on improving power and energy efficiency of DNNs and LLMs on GPU accelerators. He holds a PhD in computer engineering from Sharif University of Technology and has held research appointments at IPM, WPI, and Brown University, bridging rigorous academia with practical accelerator-aware optimization. His work blends systems-level measurement and modeling with algorithmic adaptations to squeeze efficiency from modern AI workloads, often targeting real-world GPU constraints. Based in Tacoma, he brings deep expertise from long-term roles in energy-aware systems labs and a pattern of starting collaborations as a visiting scholar to translate research into deployable performance gains.
code11 years of coding experience
job11 years of employment as a software developer
bookBachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Ferdowsi University of Mashhad
bookDoctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at Sharif University of Technology
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Github Skills (2)

tensorflow7
deep-learning7

Programming languages (1)

Python

Github contributions (5)

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nabavinejad/BatchDVFS

Feb 2021 - Dec 2021

Contributions:42 commits, 41 pushes, 1 branch in 10 months
nabavinejad/DNNScaler

Dec 2021 - Feb 2024

Contributions:4 pushes, 1 branch in 2 years 2 months
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Morteza Nabavinejad - Assistant Professor at University of Washington Tacoma