Scholar
Mozhgan Nasr Azadani
Google Scholar ID: jPpm73kAAAAJ
Postdoctoral Fellow @ University of Waterloo
Citations & Impact
Citations
515
H-index
9
i10-index
9
Publications
20
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in top-tier conferences and journals such as NeurIPS, EMNLP, and IEEE Transactions on Vehicular Technology; awarded the prestigious NSERC Postdoctoral Fellowship; organized a workshop at NeurIPS 2025.
Research Experience
- Postdoctoral Fellow at the University of Waterloo, working with Prof. Krzysztof Czarnecki at the WISE Lab. Prior work includes developing end-to-end deep learning and inverse reinforcement learning-based models for multimodal, context-aware, and interaction-aware motion forecasting, as well as extracting efficient driver embeddings from driving time series using scalable representation learning techniques.
Education
- Ph.D. in Computer Science from the University of Ottawa, supervised by Prof. Azzedine Boukerche. Dissertation focused on driving behavior analysis and prediction for safe autonomous vehicles.
Background
- Research Interest: To develop trustworthy, interactive, and scalable models that integrate computer vision and natural language to enhance perception, understanding, reasoning, and decision-making in autonomous systems like autonomous vehicles. Specialties: Multimodal large language models, computer vision, robotics, machine learning, explainable AI, and reinforcement learning.
Miscellany
- Contact: mnasraza AT gmail DOT com; Links to LinkedIn, ResearchGate, and personal website provided; Passionate about advancing the field of autonomous driving.
