Fereshteh Forghani

Fereshteh Forghani is currently a Graduate Research Assistant at York University, focusing on Scale Ambiguity in Generative Novel View Synthesis under the supervision of Dr. Marcus Brubaker. This role includes optimizing scales in a Multi-View Diffusion Model and introducing a new metric based on Optical Flow. Additionally, Fereshteh serves as a Graduate Teaching Assistant in Machine Learning and Pattern Recognition. Concurrently, Fereshteh is engaged as a Machine Learning Intern at the Vector Institute, working on Generative Self-supervised Learning. Previous experience includes a summer internship at EPFL, where Fereshteh designed adversarial attacks on LSTM-based trajectory predictors, and experience as a Research Assistant at Sharif University of Technology, focusing on self-supervised training methods for segmentation of cell images. Academic credentials include a Master of Science in Computer Science from York University and a Bachelor's degree in Computer Engineering from Sharif University of Technology.