Mohammad Javad Shafiee

Mohammad Javad Shafiee

University of Waterloo

H-index: 26

North America-Canada

About Mohammad Javad Shafiee

Mohammad Javad Shafiee, With an exceptional h-index of 26 and a recent h-index of 20 (since 2020), a distinguished researcher at University of Waterloo, specializes in the field of Edge AI, Computer Vision, Machine Learning, Deep Learning, Statistical Graphical Models.

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

Comparing the Diagnostic Yield of Antenatal Fetal Ultrasound, Neurosonography, and MRI for Detecting CNS Anomalies: A Prospective Study

Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge

Rink-Agnostic Hockey Rink Registration

Memory-Efficient Continual Learning Object Segmentation for Long Video

NAS-NeRF: Generative Neural Architecture Search for Neural Radiance Fields

High-throughput, high-performance deep learning-driven light guide plate surface visual quality inspection tailored for real-world manufacturing environments

Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-model Bounded Divergence Gating

System and method for automatic building of learning machines using learning machines

Mohammad Javad Shafiee Information

University

Position

___

Citations(all)

2132

Citations(since 2020)

1721

Cited By

1007

hIndex(all)

26

hIndex(since 2020)

20

i10Index(all)

48

i10Index(since 2020)

39

Email

University Profile Page

University of Waterloo

Google Scholar

View Google Scholar Profile

Mohammad Javad Shafiee Skills & Research Interests

Edge AI

Computer Vision

Machine Learning

Deep Learning

Statistical Graphical Models

Top articles of Mohammad Javad Shafiee

Title

Journal

Author(s)

Publication Date

Comparing the Diagnostic Yield of Antenatal Fetal Ultrasound, Neurosonography, and MRI for Detecting CNS Anomalies: A Prospective Study

Neurology Letters

Behnaz Moradi

Fatemeh Zare Bidoki

Javid Azadbakht

Mahboobeh Shirazi

Hassan Hashemi

...

2024/1/1

Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge

Alexander Wong

Yifan Wu

Saad Abbasi

Saeejith Nair

Yuhao Chen

...

2023

Rink-Agnostic Hockey Rink Registration

Jia Cheng Shang

Yuhao Chen

Mohammad Javad Shafiee

David A Clausi

2023/10/29

Memory-Efficient Continual Learning Object Segmentation for Long Video

arXiv preprint arXiv:2309.15274

Amir Nazemi

Mohammad Javad Shafiee

Zahra Gharaee

Paul Fieguth

2023/9/26

NAS-NeRF: Generative Neural Architecture Search for Neural Radiance Fields

arXiv preprint arXiv:2309.14293

Saeejith Nair

Yuhao Chen

Mohammad Javad Shafiee

Alexander Wong

2023/9/25

High-throughput, high-performance deep learning-driven light guide plate surface visual quality inspection tailored for real-world manufacturing environments

Proceedings of the AAAI Conference on Artificial Intelligence

Carol Xu

Mahmoud Famouri

Gautam Bathla

Mohammad Javad Shafiee

Alexander Wong

2023/9/6

Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-model Bounded Divergence Gating

IEEE Access

Hossein Aboutalebi

Mohammad Javad Shafiee

Chi-en Amy Tai

Alexander Wong

2023/12/25

System and method for automatic building of learning machines using learning machines

2023/6/22

DARLEI: Deep Accelerated Reinforcement Learning with Evolutionary Intelligence

arXiv preprint arXiv:2312.05171

Saeejith Nair

Mohammad Javad Shafiee

Alexander Wong

2023/12/8

COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and …

arXiv preprint arXiv:2204.11210

Hossein Aboutalebi

Maya Pavlova

Mohammad Javad Shafiee

Adrian Florea

Andrew Hryniowski

...

2022/4/24

Maple: Microprocessor a priori for latency estimation

Saad Abbasi

Alexander Wong

Mohammad Javad Shafiee

2022

Faster attention is what you need: a fast self-attention neural network backbone architecture for the edge via double-condensing attention condensers

arXiv preprint arXiv:2208.06980

Alexander Wong

Mohammad Javad Shafiee

Saad Abbasi

Saeejith Nair

Mahmoud Famouri

2022/8/15

System and method for selecting unlabled data for building learning machines

2022/3/10

System and method for selecting components in designing machine learning models

2022/2/17

Celldefectnet: A machine-designed attention condenser network for electroluminescence-based photovoltaic cell defect inspection

Carol Xu

Mahmoud Famouri

Gautam Bathla

Saeejith Nair

Mohammad Javad Shafiee

...

2022/5/31

MEDUSA: multi-scale encoder-decoder self-attention deep neural network architecture for medical image analysis

Frontiers in medicine

Hossein Aboutalebi

Maya Pavlova

Hayden Gunraj

Mohammad Javad Shafiee

Ali Sabri

...

2022/2/15

MAPLE-X: Latency Prediction with Explicit Microprocessor Prior Knowledge

arXiv preprint arXiv:2205.12660

Saad Abbasi

Alexander Wong

Mohammad Javad Shafiee

2022/5/25

Improved hockey rink localization via augmentation and temporal frame analysis

Journal of Computational Vision and Imaging Systems

Jia Cheng Shang

Mehrnaz Fani

David A Clausi

Mohammad Javad Shafiee

2022

LightDefectNet: a highly compact deep anti-aliased attention condenser neural network architecture for light guide plate surface defect detection

arXiv preprint arXiv:2204.11765

Carol Xu

Mahmoud Famouri

Gautam Bathla

Mohammad Javad Shafiee

Alexander Wong

2022/4/25

Maple-edge: A runtime latency predictor for edge devices

Saeejith Nair

Saad Abbasi

Alexander Wong

Mohammad Javad Shafiee

2022

See List of Professors in Mohammad Javad Shafiee University(University of Waterloo)