Arash Ardakani
Scholar

Arash Ardakani

Google Scholar ID: QFXIpuIAAAAJ
University of California, Berkeley
AI-driven Hardware DesignDigital CircuitsStochastic ComputingML Systems
Citations & Impact
All-time
Citations
761
 
H-index
12
 
i10-index
14
 
Publications
20
 
Co-authors
22
list available
Resume (English only)
Research Experience
  • Senior researcher at Noah’s Ark Research Lab of Huawei Technologies in Montreal, Canada.
Education
  • PhD in Electrical and Computer Engineering from McGill University; Master in Electrical Engineering from Sharif University of Technology. Currently an EECS postdoc at UC Berkeley, advised by Prof. John Wawrzynek.
Background
  • Current research focus is on machine learning for hardware, exploring AI-driven methods for optimizing, verifying, and synthesizing digital hardware systems. Broader interests span scientific methods for efficient neural computing, memory management in inference and training of large AI models, stochastic computing, edge computing, hardware accelerators, and applications of machine learning for digital hardware design.