Education and training
Farnaz is currently a PhD student in the Department of Electrical Engineering at the University of Toronto. She received her Bachelor's and Master's degrees in Electrical Engineering from Sharif University of Technology in 2019 and 2021, respectively. Farnaz has actively contributed to various projects in the field of machine learning, with a specific focus on the analysis of biomedical and biological data. In addition to her academic pursuits, she has also acquired valuable industry experience through her part-time role as an AI developer, where she focused on the utilization of AI in biomedical signal and image analysis.
Farnaz's ongoing research revolves around the kinematic analysis and automated detection of swallowing events within vibratory and acoustic signals, employing a diverse range of machine learning techniques, including supervised, unsupervised, and semi-supervised methods. She is also interested in multimodal learning, which involves integrating data from various sources and exploring innovative techniques for fusing, aligning, and extracting relevant features from different modalities.