Regular biography
Narges Armanfard is an Associate Professor in the Department of Electrical and Computer Engineering at McGill University. Her research focuses on Intelligent Systems. She is affiliated with the McGill University Faculty of Engineering and is based in the McConnell Engineering Building. Her work explores areas related to intelligent systems, contributing to advancements in engineering and technology. For more information, visit her personal page at https://www.mcgill.ca/ece/narges-armanfard.
Scholar-generated biography
Narges Armanfard is an Associate Professor at McGill University and a member of the Mila – Quebec AI Institute. Her research focuses on Foundation Models, Generative Models, Multimodal Learning, Reinforcement Learning, and Trustworthy AI. Her work explores advanced techniques for anomaly detection, self-supervised learning, and robust feature selection across diverse domains such as computer vision, EEG analysis, and human activity recognition. She has contributed to the development of methods for detecting anomalies in medical biometrics, improving liveness detection, and enhancing the accuracy of human activity recognition through deep reinforcement learning and contrastive learning approaches.