Reza Namazi
namazir@mcmaster.ca
reza.namazi@vectorinstitute.ai

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.

Academia

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
BASF SE
January 2023 - present
Toronto, ON, Canada
Research Intern

Interests

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

News

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