Scholar
Amin Nikanjam
Google Scholar ID: mGF6p48AAAAJ
Staff Researcher, Huawei Canada
Citations & Impact
Citations
1,772
H-index
18
i10-index
33
Publications
20
Co-authors
19
list available
Publications
Resume (English only)
Academic Achievements
- No specific academic achievements such as publications, awards, etc., are listed.
Research Experience
- Currently a Staff Researcher at Huawei Canada; was a Research Associate at Polytechnique Montréal, working towards developing 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) and empirically studied a wide range of Software Engineering problems; worked as an Invited Researcher at University of Montréal and Assistant Professor of AI at K. N. Toosi University of Technology, focusing on Search-Based Software Engineering (specified by graph transformation system) and deep reinforcement learning in multi-agent systems.
Education
- Received Master's and Ph.D. from Iran University of Science and Technology. During graduate studies, mainly investigated evolutionary algorithms, their applications (function approximation with classifier systems), and efficiency enhancement of model learning in Estimation of Distribution Algorithms.
Background
- Research interests include: SE4ML (Software Engineering for Machine Learning), Machine Learning Systems Engineering, Large Language Models for Software Engineering, Software Testing, Reinforcement Learning, Multi-Agent Systems. Focuses on leveraging AI to solve real-world problems, particularly LLMs for Agentic Systems and Code-related Tasks, and addressing trustworthiness issues in AI-based software systems, especially Testing ML-based Systems and their Quality Assurance.
Miscellany
- No personal interests or hobbies mentioned.
