Mohammad Bavandpour

Mohammad Bavandpour

University of California, Santa Barbara

H-index: 12

North America-United States

About Mohammad Bavandpour

Mohammad Bavandpour, With an exceptional h-index of 12 and a recent h-index of 11 (since 2020), a distinguished researcher at University of California, Santa Barbara, specializes in the field of Mixed-Signal Neuromorphic Processor, NVM-based Neurocomputing, Computer Architecture, Spiking Neural Networks, Parallel Processi.

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

3D-aCortex: An ultra-compact energy-efficient neurocomputing platform based on commercial 3D-NAND flash memories

Mixed signal neuromorphic computing with nonvolatile memory devices

Mixed-signal vector-by-matrix multiplier circuits based on 3D-NAND memories for neurocomputing

Toward Efficient Mixed-Signal Neural Processors Using Non-Volatile Memory Devices

Acortex: An energy-efficient multipurpose mixed-signal inference accelerator

A 2T-1R cell array with high dynamic range for mismatch-robust and efficient neurocomputing

Energy-efficient moderate precision time-domain mixed-signal vector-by-matrix multiplier exploiting 1T-1R arrays

Mohammad Bavandpour Information

University

Position

ECE Department

Citations(all)

701

Citations(since 2020)

553

Cited By

365

hIndex(all)

12

hIndex(since 2020)

11

i10Index(all)

15

i10Index(since 2020)

12

Email

University Profile Page

University of California, Santa Barbara

Google Scholar

View Google Scholar Profile

Mohammad Bavandpour Skills & Research Interests

Mixed-Signal Neuromorphic Processor

NVM-based Neurocomputing

Computer Architecture

Spiking Neural Networks

Parallel Processi

Top articles of Mohammad Bavandpour

Title

Journal

Author(s)

Publication Date

3D-aCortex: An ultra-compact energy-efficient neurocomputing platform based on commercial 3D-NAND flash memories

Neuromorphic Computing and Engineering

M. Bavandpour

S. Sahay

M.R. Mahmoodi

D.B. Strukov

2021/7

Mixed signal neuromorphic computing with nonvolatile memory devices

2021/1/21

Mixed-signal vector-by-matrix multiplier circuits based on 3D-NAND memories for neurocomputing

Mohammad Bavandpour

Shubham Sahay

Mohammad Reza Mahmoodi

Dmitri Strukov

2020/3/9

Toward Efficient Mixed-Signal Neural Processors Using Non-Volatile Memory Devices

Mohammad Bavandpour

2020

Acortex: An energy-efficient multipurpose mixed-signal inference accelerator

IEEE Journal on Exploratory Solid-State Computational Devices and Circuits

Mohammad Bavandpour

Mohammad R Mahmoodi

Dmitri B Strukov

2020/6/3

A 2T-1R cell array with high dynamic range for mismatch-robust and efficient neurocomputing

Shubham Sahay

Mohammad Bavandpour

Mohammad Reza Mahmoodi

Dmitri Strukov

2020/5/17

Energy-efficient moderate precision time-domain mixed-signal vector-by-matrix multiplier exploiting 1T-1R arrays

IEEE Journal on Exploratory Solid-State Computational Devices and Circuits

Shubham Sahay

Mohammad Bavandpour

Mohammad Reza Mahmoodi

Dmitri Strukov

2020/6/1

See List of Professors in Mohammad Bavandpour University(University of California, Santa Barbara)

Co-Authors

H-index: 35
Koushik Maharatna

Koushik Maharatna

University of Southampton

H-index: 25
Arash Ahmadi

Arash Ahmadi

University of Windsor

H-index: 14
Amirali Amirsoleimani

Amirali Amirsoleimani

University of Toronto

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