Lesley Shannon

Lesley Shannon

Simon Fraser University

H-index: 24

North America-Canada

About Lesley Shannon

Lesley Shannon, With an exceptional h-index of 24 and a recent h-index of 17 (since 2020), a distinguished researcher at Simon Fraser University, specializes in the field of reconfigurable computing, heterogeneous computing, reconfigurable microfluidics, FPGAs.

His recent articles reflect a diverse array of research interests and contributions to the field:

DNN Memory Footprint Reduction via Post-Training Intra-Layer Multi-Precision Quantization

Designing an IEEE-compliant FPU that supports configurable precision for soft processors

Designing a configurable IEEE-compliant FPU that supports variable precision for soft processors

A Cycle-Accurate Soft Error Vulnerability Analysis Framework for FPGA-based Designs

Unraveling the Integration of Deep Machine Learning in FPGA CAD Flow: A Concise Survey and Future Insights

Stealthy attack on algorithmic-protected dnns via smart bit flipping

Using data-mining techniques to improve combinatorial optimization algorithms

FitAct: Error resilient deep neural networks via fine-grained post-trainable activation functions

Lesley Shannon Information

University

Position

Professor School of Engineering Science

Citations(all)

1890

Citations(since 2020)

825

Cited By

1342

hIndex(all)

24

hIndex(since 2020)

17

i10Index(all)

43

i10Index(since 2020)

24

Email

University Profile Page

Simon Fraser University

Google Scholar

View Google Scholar Profile

Lesley Shannon Skills & Research Interests

reconfigurable computing

heterogeneous computing

reconfigurable microfluidics

FPGAs

Top articles of Lesley Shannon

Title

Journal

Author(s)

Publication Date

DNN Memory Footprint Reduction via Post-Training Intra-Layer Multi-Precision Quantization

Behnam Ghavami

Amin Kamjo

Lesley Shannon

Steve Wilton

2024

Designing an IEEE-compliant FPU that supports configurable precision for soft processors

ACM Transactions on Reconfigurable Technology and Systems

Chris Keilbart

Yuhui Gao

Martin Chua

Eric Matthews

Steven JE Wilton

...

2023/6/17

Designing a configurable IEEE-compliant FPU that supports variable precision for soft processors

Chris Keilbart

Yuhui Gao

Martin Chua

Eric Matthews

Steven JE Wilton

...

2023/5/8

A Cycle-Accurate Soft Error Vulnerability Analysis Framework for FPGA-based Designs

arXiv preprint arXiv:2303.12269

Eduardo Rhod

Behnam Ghavami

Zhenman Fang

Lesley Shannon

2023/3/22

Unraveling the Integration of Deep Machine Learning in FPGA CAD Flow: A Concise Survey and Future Insights

arXiv preprint arXiv:2303.10508

Behnam Ghavami

Lesley Shannon

2023/3/18

Stealthy attack on algorithmic-protected dnns via smart bit flipping

Behnam Ghavami

Seyd Movi

Zhenman Fang

Lesley Shannon

2022/4/6

Using data-mining techniques to improve combinatorial optimization algorithms

Journal of Algorithms & Computational Technology

Peter Jamieson

Farnaz Gharibian

Lesley Shannon

Steve Wilton

2022/10

FitAct: Error resilient deep neural networks via fine-grained post-trainable activation functions

Behnam Ghavami

Mani Sadati

Zhenman Fang

Lesley Shannon

2022/3/14

Blind data adversarial bit-flip attack against deep neural networks

Behnam Ghavami

Mani Sadati

Mohammad Shahidzadeh

Zhenman Fang

Lesley Shannon

2022/8/1

Quick-Div: Rethinking Integer Divider Design for FPGA-based Soft-processors

ACM Transactions on Reconfigurable Technology and Systems (TRETS)

Eric Matthews

Alec Lu

Zhenman Fang

Lesley Shannon

2022/2/4

A Majority-based Approximate Adder for FPGAs

Behnam Ghavami

Mahdi Sajedi

Mohsen Raji

Zhenman Fang

Lesley Shannon

2022/8/1

Demystifying the soft and hardened memory systems of modern fpgas for software programmers through Microbenchmarking

ACM Transactions on Reconfigurable Technology and Systems (TRETS)

Alec Lu

Zhenman Fang

Lesley Shannon

2022/6/6

Reliable circuit design using a fast incremental-based gate sizing under process variation

IEEE Transactions on Device and Materials Reliability

Behnam Ghavami

Mohsen Raji

Milad Ibrami

Lesley Shannon

2022/5/18

Introduction to Special Section on FPGA 2020

Lesley Shannon

2021/11/30

MAPLE: a machine learning based aging-aware FPGA architecture exploration framework

Behnam Ghavami

Milad Ibrahimipour

Zhenman Fang

Lesley Shannon

2021/8/1

FPGA Computing.

IEEE Micro

Maya B Gokhale

Lesley Shannon

2021/7/1

LEAP: A Deep Learning based Aging-Aware Architecture Exploration Framework for FPGAs

Behnam Ghavami

Seyed Milad Ebrahimi

Zhenman Fang

Lesley Shannon

2021/2/17

SeaPlace: Process Variation Aware Placement for Reliable Combinational Circuits against SETs and METs

arXiv preprint arXiv:2112.04136

Kiarash Saremi

Hossein Pedram

Behnam Ghavami

Mohsen Raji

Zhenman Fang

...

2021/12/8

Demystifying the memory system of modern datacenter FPGAs for software programmers through microbenchmarking

Alec Lu

Zhenman Fang

Weihua Liu

Lesley Shannon

2021/2/17

BDFA: A Blind Data Adversarial Bit-flip Attack on Deep Neural Networks

arXiv preprint arXiv:2112.03477

Behnam Ghavami

Mani Sadati

Mohammad Shahidzadeh

Zhenman Fang

Lesley Shannon

2021/12/7

See List of Professors in Lesley Shannon University(Simon Fraser University)

Co-Authors

H-index: 48
Marinko V. Sarunic

Marinko V. Sarunic

Simon Fraser University

H-index: 18
Kenneth B Kent

Kenneth B Kent

University of New Brunswick

H-index: 15
Peter Jamieson

Peter Jamieson

Miami University

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