Mohammad Javad Shafiee

Assistant Professor, University of Waterloo

Joined

February 2018

Names

Emails

****@uwaterloo.ca (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Assistant Professor

University of Waterloo (uwaterloo.ca)

2017 – Present

Advisors, Relations & Conflicts

PhD Advisor

Alexander Wong

2013 – 2018

PhD Advisor

Paul Fieguth

2013 – 2017

Expertise

Deep learning

2016 – Present

Probabilistic Graphical Model

2011 – Present

Computer Vision

2011 – Present

Publications

Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement
Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul W. Fieguth, Alexander Wong
- IEEE signal processing magazine
- Readers: Everyone
A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning
Ahmadreza Jeddi, Mohammad Javad Shafiee, Alexander Wong
- CVPR 2021 Workshop
- Readers: Everyone
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness
Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle E. Karg, Christian Scharfenberger, Alexander Wong
- CVPR
- Readers: Everyone
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 Biochemistry Data
Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Adrian Florea, Andrew Hryniowski, Alexander Wong
- Published: 21 Nov 2022, Last Modified: 09 Nov 2025
- TSRML2022
- Readers: Everyone
Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers
Alexander Wong, Mohammad Javad Shafiee, Saad Abbasi, Saeejith Nair, Mahmoud Famouri
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- Attention Workshop, NeurIPS 2022 Poster
- Readers: Everyone
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, Alexander Wong
- 2022 (modified: 16 Apr 2023)
- CRV 2022
- Readers: Everyone
MAPLE-Edge: A Runtime Latency Predictor for Edge Devices
Saeejith Nair, Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee
- 2022 (modified: 16 Apr 2023)
- CoRR 2022
- Readers: Everyone
Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers
Alexander Wong, Mohammad Javad Shafiee, Saad Abbasi, Saeejith Nair, Mahmoud Famouri
- 2022 (modified: 16 Apr 2023)
- CoRR 2022
- Readers: Everyone
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 Biochemistry Data
Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Adrian Florea, Andrew Hryniowski, Alexander Wong
- 2022 (modified: 16 Apr 2023)
- CoRR 2022
- Readers: Everyone
MAPLE: Microprocessor A Priori for Latency Estimation
Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee
- 2022 (modified: 16 Apr 2023)
- CVPR Workshops 2022
- Readers: Everyone

View all 117 publications

Co-Authors

View all 74 co-authors