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Tina Behrouzi

Welcome to my personal profile! I am a PhD student in Computer Science at the University of Toronto and the Vector Institute, working under the supervision of Anna Goldenberg. My research lies at the intersection of artificial intelligence and healthcare, with a focus on time-series analysis, self-supervised learning, and graph machine learning.

Publications

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Dynamic Interpretable Change Point Detection for Physiological Data Analysis
T. Behrouzi, J. Yu, K. Garg, A. Goldenberg, and S. Tonekaboni
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Maskrenderer: 3D-infused multi-mask realistic face reenactment
T. Behrouzi, A. Shahroudnejad, and P. Mousavi
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Graph Variational Auto-Encoder for Deriving EEG-based Graph Embedding
T. Behrouzi and D. Hatzinakos
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Understanding Power of Graph Convolutional Neural Network on Discriminating Human EEG Signal
T. Behrouzi and D. Hatzinakos
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Multimodal Movie Genre Classification Using Recurrent Neural Network
T. Behrouzi, R. Toosi, and M.A. Akhaee
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News

  • Nov. 2024: My application for the NSERC PGS D/CGS D grant has been accepted for the national competition.
  • Sep. 2024: Check out our new publication 'MaskRenderer: 3D-Infused Multi-Mask Realistic Face Reenactmen'.
  • Aug. 2024: We are going to present our work 'Beyond Single Metrics: A Time-Series Hybrid Machine Learning Approach to Optimize ICU Discharge Decisions.' on the MLHC Conference
  • Oct. 2023: We will be presenting a seminar on Computer Vision at the TechAid conference.
  • Jun. 2023: I will be attending the ML4H and NeurIPS conferences, where Jenny and I will be presenting our work on 'Dynamic Interpretable Change Point Detection for Physiological Data Analysis.'
  • Sept. 2022: Check out my new blog post on CVPR 2022 highlights at https://www.amii.ca/updates-insights/computer-vision-cvpr-2022

Awards

  • Cafe bazar, Tap30, and Digikala Grants Awarded for top poster presentation, 2019
  • Electrical Engineering Department, University of Tehran Ranked top 3 out of 129 students, 2018
  • Iran's National Elites Foundation Fellowship Granted for top one research project, 2018