Reza Namazi

My current research is concentrated on leveraging graph neural networks for advancing natural language processing techniques. This work is being carried out under the guidance of Dr. Hamidreza Mahyar. I am passionate about interdisciplinary projects that bridge the gap between theoretical research and real-world applications, aiming to solve complex problems through innovative AI solutions.

In addition to my academic background, I have gained practical experience through various internships and research assistant roles. At BASF, as a Research Intern, I am involved in data-driven initiatives and collaborated with the Generative AI team, focusing on sophisticated analytics and predictive modeling. As a Machine Learning Associate at both EthicalAI Inc. and Vector Institute, I am working on applying my skills in data analysis, time series forecasting, and machine learning to various research projects.


McMaster University
2022 - present
Hamilton, ON, Canada
M.A.Sc. Computational Science and Engineering
Sharif University of Technology - Kish Int. Campus
2017 - 2022
Kish, Iran
B.Sc. Computer Engineering
Ranked within the top 5% of the graduating class

Work Experience

EthicalAI and Vector Institute for Artificial Intelligence
January 2024 - present
Toronto, ON, Canada
Machine Learning Associate
Vector FastLane program
January 2023 - present
Toronto, ON, Canada
Research Intern


  • Representation Learning
  • Deep Learning on Graphs
  • Natural Language Processing
  • Data Mining
  • Reinforcement Learning


Recent Publications

SMGRL: A Scalable Multi-resolution Graph Representation Learning Framework, 2022, arXiv preprint arXiv:2201.12670
Reza Namazi , Elahe Ghalebi , Sinead Williamson , Hamidreza Mahyar
GL-Coarsener: A Graph representation learning framework to construct coarse grid hierarchy for AMG solvers, 2020, arXiv preprint arXiv:2011.09994
Reza Namazi , Arsham Zolanvari , Mahdi Sani , Seyed Amir Ali Ghafourian Ghahramani