CV

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Contact Information

Name Amir Taherin
Professional Title PhD Candidate in Electrical and Computer Engineering
Email taherin.a@northeastern.edu

Professional Summary

Efficient and dependable AI inference on edge hardware — characterizing LLM, RAG, vision, and vision-language-action workloads across edge SoC generations and building workload-aware runtime adaptation.

Experience

  • 2021 - present

    Boston, MA

    Graduate Research Assistant
    NUCAR Laboratory, Northeastern University
    • Characterization and adaptive runtimes for LLM, RAG, vision, and vision-language-action inference across three generations of NVIDIA Jetson edge SoCs and datacenter GPUs.
    • Led multi-student research teams for LLM inference characterization (Hydra) and VLA deployment and benchmarking.
  • 2020 - 2021

    Boston, MA

    Graduate Research Assistant
    Goodwill Computing Lab, Northeastern University
    • Reliability analysis of GPU-accelerated supercomputers from multi-year Tsubame-2/3 failure and repair logs (DSN 2021).
  • 2018 - 2020

    Rochester, NY

    Graduate Research & Teaching Assistant
    University of Rochester
    • Algorithm–architecture co-design for energy-efficient 360° video rendering on FPGAs (FPGA 2020).
  • 2014 - 2017

    Tehran, Iran

    Graduate Research Assistant
    ESRLab, Sharif University of Technology
    • Reliability-aware energy management for mixed-criticality embedded systems (RTEST 2015, IEEE TSUSC 2018).

Education

  • 2020 - present

    Boston, MA

    PhD
    Northeastern University
    Electrical and Computer Engineering
    • Advisors: Prof. David Kaeli and Prof. Yanzhi Wang (NUCAR Laboratory)
  • 2018 - 2020

    Rochester, NY

    MS
    University of Rochester
    Computer Science
  • 2014 - 2016

    Tehran, Iran

    MS
    Sharif University of Technology
    Computer Systems Architecture
  • 2006 - 2011

    Tehran, Iran

    BS
    K. N. Toosi University of Technology
    Computer Engineering

Awards

  • 2026
    Future Leaders of AI program
    ACM AI Leadership Summit

    Selected for the Future Leaders of AI program; presenting our adaptive edge-RAG paper as a poster, with the paper to appear in the summit proceedings.

  • 2022
    Quantum Excellence in Quantum Simulation
    IBM Qiskit Global Summer School

  • 2021
    Quantum Excellence in Quantum Machine Learning
    IBM Qiskit Global Summer School

  • 2015
    National Talent Award for exceptional GPA
    Sharif University of Technology

Skills

Programming: C/C++ (OpenMP, MPI, pthreads), Python, CUDA, Verilog, Bash
ML & Systems: PyTorch, TensorRT-LLM, llama.cpp, NVIDIA Jetson (Xavier, Orin, Thor), FPGA (Zynq UltraScale+)

Languages

English : Full professional proficiency
Persian : Native speaker