Ameer M.S. Abdelhadi

Research Scientist / Hardware-Efficient Machine Learning
Department of Electrical and Computer Engineering
University of Toronto
Toronto, Ontario, M5S 3G4 Canada

e-mail:  ameer DOT abdelhadi AT utoronto DOT ca
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Background

I am a research scientist in the Department of Electrical and Computer Engineering at the University of Toronto.

Prior to the University of Toronto, I have been a research fellow at Imperial College London, a lecturer and a postdoctoral fellow at Simon Fraser University, a lecturer and part-time faculty member at Concordia University, and a postdoctoral fellow at the University of British Columbia. I held design and research positions in the semiconductors industry between 2003 and 2008. I earned my Ph.D. in computer engineering from the University of British Columbia in 2016. I received B.Sc. and M.Sc. degrees in computer engineering from the Technion in 2007 and 2010, respectively.

I am driven to design performance-oriented embedded computing systems by utilizing the concurrent nature of reconfigurable devices as an infrastructure for massively parallel architectures. I am also interested in raising the design abstraction of embedded custom-tailored accelerators to the software level, enabling software developers to exploit configurable hardware capabilities for domain-specific optimizations, particularly as deep learning hardware-efficient platforms. Currently, I am exploring algorithmic and system-level approaches for highly-efficient machine learning platforms. Furthermore, I am interested in leveraging asynchronous circuit techniques to enable low-power and highly reliable embedded systems. Other research interests include

NOEMA 1.0 is in fabrication!
NOEMA is a highly-efficient brain data decoder.
See our MICRO 2021 paper for more details.
[paper in PDF] [paper in HTML5]


I received the Best Paper Award at the 2017 IEEE International Symposium on Asynchronous Circuits and Systems (ASYNC '2017)— the premier conference for asynchronous circuits design.


Education


Industrial Experience

  • Mellanox Tech.; 2008,
    System and logic design for InfiniBand network products.
  • Intel R&D; 2003-2008,
    System and logic design, logic synthesis, physical synthesis and custom design for high-end low-power mobile processors.

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Last updated August 2021.
Copyright © 2021 Ameer M.S. Abdelhadi. All rights reserved.