About me

Researcher at Huawei Canada, I am investigating 1) leveraging Artificial Intelligence (AI) to solve problems with a recent focus on Large Language Models (LLMs) for Code-related Tasks, and 2) addressing trustworthiness issues in AI-based software systems focusing on Testing Machine Learning (ML) based Systems and their Quality Assurance.

Before joining Huawei Canada, I was a Research Associate at Polytechnique Montréal. My research, in general, was toward development of novel techniques and tools to improve the dependability, certifiability, reproducibility, maintainability and explainability of software systems developed using AI (like deep learning and deep reinforcement learning). Also, I have empirically studied a wide range of Software Engineering problems, including software release pipeline, bug triaging and prediction, design pattern and anti-patterns. Before Polytechnique Montréal, I worked at University of Montréal as an Invited Researcher, and at K. N. Toosi University of Technology as Assistant Professor of AI. My main research focus was on Search-Based Software Engineering (specified by graph transformation system), and deep reinforcement learning in multi-agent systems. I received my Master’s and Ph.D. from Iran University of Science and Technology. During my graduate studies, I mainly investigated evolutionary algorithms, their applications (function approximation with classifier systems) and efficiency enhancement of model learning in Estimation of Distribution Algorithms.

Research interests

SE4ML (Software Engineering for Machine Learning), Machine Learning Systems Engineering, Large Language Models for Software Engineering, Software Testing, Reinforcement Learning, Multi-Agent Systems