Amirali Amirsoleimani

Amirali Amirsoleimani

University of Toronto

H-index: 14

North America-Canada

About Amirali Amirsoleimani

Amirali Amirsoleimani, With an exceptional h-index of 14 and a recent h-index of 12 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of AI Hardware, Neuromorphic Computing, Mixed-Signal Circuit Design, In-Memory Computing, Bio-inspired Computing.

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

POD: PCM-Based Computing Platform for Object Detection in Biomedical Imaging Application

BITLITE: Light Bit-wise Operative Vector Matrix Multiplication for Low-Resolution Platforms

WALLAX: A memristor-based Gaussian random number generator

HUXIN: In-Memory Crossbar Core for Integration of Biologically Inspired Stochastic Neuron Models

MEDSA: A Memristive-passive Delta-Sigma ADC Circuit for Detecting Neural Signals

A subranging nonuniform sampling memristive neural network-based analog-to-digital converter

Spike sorting algorithms and their efficient hardware implementation: a comprehensive survey

HESSPROP: Mitigating Memristive DNN Weight Mapping Errors with Hessian Backpropagation

Amirali Amirsoleimani Information

University

Position

___

Citations(all)

646

Citations(since 2020)

554

Cited By

232

hIndex(all)

14

hIndex(since 2020)

12

i10Index(all)

16

i10Index(since 2020)

15

Email

University Profile Page

University of Toronto

Google Scholar

View Google Scholar Profile

Amirali Amirsoleimani Skills & Research Interests

AI Hardware

Neuromorphic Computing

Mixed-Signal Circuit Design

In-Memory Computing

Bio-inspired Computing

Top articles of Amirali Amirsoleimani

Title

Journal

Author(s)

Publication Date

POD: PCM-Based Computing Platform for Object Detection in Biomedical Imaging Application

Demeng Chen

Amirali Amirsoleimani

Mostafa Rahimi Azghadi

Roman Genov

Majid Ahmadi

2024/2/27

BITLITE: Light Bit-wise Operative Vector Matrix Multiplication for Low-Resolution Platforms

Authorea Preprints

Vince Tran

Demeng Chen

Roman Genov

Mostafa Rahimi Azghadi

Amirali Amirsoleimani

2024/2/4

WALLAX: A memristor-based Gaussian random number generator

Neurocomputing

Xuening Dong

Amirali Amirsoleimani

Mostafa Rahimi Azghadi

Roman Genov

2024/1/21

HUXIN: In-Memory Crossbar Core for Integration of Biologically Inspired Stochastic Neuron Models

Louis Primeau

Xuening Dong

Amirali Amirsoleimani

Roman Genov

2023/5/21

MEDSA: A Memristive-passive Delta-Sigma ADC Circuit for Detecting Neural Signals

Hao You

Jianxiong Xu

Amirali Amirsoleimani

Mostafa Rahimi Azghadi

Roman Genov

2023/10/19

A subranging nonuniform sampling memristive neural network-based analog-to-digital converter

Memories-Materials, Devices, Circuits and Systems

Hao You

Amirali Amirsoleimani

Jianxiong Xu

Mostafa Rahimi Azghadi

Roman Genov

2023/7/1

Spike sorting algorithms and their efficient hardware implementation: a comprehensive survey

Tim Zhang

Mostafa Rahimi Azghadi

Corey Lammie

Amirali Amirsoleimani

Roman Genov

2023/3/27

HESSPROP: Mitigating Memristive DNN Weight Mapping Errors with Hessian Backpropagation

Jack Cai

Muhammad Ahsan Kaleem

Amirali Amirsoleimani

Roman Genov

2023/5/21

Advanced Memory Technology: Functional Materials and Devices

Ye Zhou

2023/10/9

Simulation of memristive crossbar arrays for seizure detection and prediction using parallel Convolutional Neural Networks

Software Impacts

Chenqi Li

Corey Lammie

Amirali Amirsoleimani

Mostafa Rahimi Azghadi

Roman Genov

2023/3/1

SEVDA: Singular Value Decomposition Based Parallel Write Scheme for Memristive CNN Accelerators

Ali Al-Shaarawy

Roman Genov

Amirali Amirsoleimani

2023/5/21

A Review of Graphene‐Based Memristive Neuromorphic Devices and Circuits

Ben Walters

Mohan V Jacob

Amirali Amirsoleimani

Mostafa Rahimi Azghadi

2023/10

Spike Timing Dependent Gradient for Direct Training of Fast and Efficient Binarized Spiking Neural Networks

IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Zhengyu Cai

Hamid Rahimian Kalatehbali

Ben Walters

Mostafa Rahimi Azghadi

Amirali Amirsoleimani

...

2023/10/31

SSCAE: A Neuromorphic SNN Autoencoder for sc-RNA-seq Dimensionality Reduction

Tim Zhang

Amirali Amirsoleimani

Jason K Eshraghian

Mostafa Rahimi Azghadi

Roman Genov

...

2023/5/21

Efficient memristive stochastic differential equation solver

Advanced Intelligent Systems

Xuening Dong

Louis Primeau

Roman Genov

Mostafa Rahimi Azghadi

Amirali Amirsoleimani

2023/8

CODEX: Stochastic Encoding Method to Relax Resistive Crossbar Accelerator Design Requirements

IEEE Transactions on Circuits and Systems II: Express Briefs

Tony Liu

Amirali Amirsoleimani

Jianxiong Xu

Fabien Alibart

Yann Beilliard

...

2022/3/8

A Survey of Ensemble Methods for Mitigating Memristive Neural Network Non-idealities

Muhammad Ahsan Kaleem

Jack Cai

Amirali Amirsoleimani

Roman Genov

2023/5/21

Emerging memories, circuits, and systems for post-Moore computing applications in nanotechnology

Ying-Chen Chen

Amirali Amirsoleimani

Yao-Feng Chang

2023/7/10

STDG: Fast and Lightweight SNN Training Technique Using Spike Temporal Locality

Zhengyu Cai

Hamid Rahimian Kalatehbali

Ben Walters

Mostafa Rahimi Azghadi

Amirali Amirsoleimani

...

2023/10/19

Adaptively Clock-boosted Auto-ranging Neural-interface for Emerging Neuromodulation Applications

IEEE Transactions on Biomedical Circuits and Systems

M Reza Pazhouhandeh

Amirali Amirsoleimani

Iliya Weisspapir

Peter Carlen

Roman Genov

2022/11/23

See List of Professors in Amirali Amirsoleimani University(University of Toronto)

Co-Authors

H-index: 90
Wei D. Lu

Wei D. Lu

University of Michigan

H-index: 43
M.Ahmadi

M.Ahmadi

University of Windsor

H-index: 36
Roman Genov

Roman Genov

University of Toronto

H-index: 29
Dominique Drouin

Dominique Drouin

Université de Sherbrooke

H-index: 25
Arash Ahmadi

Arash Ahmadi

University of Windsor

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