Sahar Dastani
I am a PhD student at Mila/ÉTS, advised by Prof. Christian Desrosiers and Prof. Hervé Lombaert. My research sits at the intersection of computer vision, deep learning, and efficient neural networks, with a focus on robustness under distribution shifts and geometric transformations. I am also a machine learning research intern at Borealis AI.
Previously, I was a machine learning research intern at Zebra. I also worked as a research assistant at CHU Sainte-Justine in Montreal under the supervision of Dr. Philippe Jouvet. I received my M.Sc. and B.Sc. in Computer Science from Amirkabir University of Technology (AUT), under the supervision of Dr. M. Hassan Shirali-Shahreza and Dr. Mohammad Akbari.
Highlights & News
- Joined Borealis AI as a Machine Learning Research Intern.
- Two papers accepted at NeurIPS 2025: TRUST and OVSS TTA.
- Served as a reviewer for NeurIPS 2025.
- Prompt Learning With Bounding Box accepted at IEEE T-BME 2025.
- Purge-Gate accepted at ICCV 2025.
- SMART-PC accepted at ICML 2025.
- Two papers accepted at CVPR 2025: Spectral VMamba and Spectral Informed Mamba.
- Reviewer for IEEE TMI-2024.
- Reviewer for CVPR 2025.
- TTA in Point Clouds with Weight Averaging accepted at WACV 2025 (Oral).
- Joined Zebra as a Machine Learning Research Intern.
- WATT accepted at NeurIPS 2024.
- Abstract on Psychomotor Agitation Detection accepted at WFPICCS.
- Awarded the Upper Bound Talent Bursary 2024.
- Awarded the Professor Cho Diversity Scholarship.
- TA for Representation Learning at UdeM with A. Agrawal.
Publications
Contact
Email: sahar.dastani-oghani.1@ens.etsmtl.ca
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