Scholar
Mohammad Havaei
Google Scholar ID: LAoMyyoAAAAJ
Google
Citations & Impact
Citations
4,860
H-index
22
i10-index
30
Publications
20
Co-authors
23
list available
Publications
Resume (English only)
Academic Achievements
- Among winners of the Brain Tumor Segmentation Challenge (BRATS) 2015; published papers including 'Conditional generation of medical images via disentangled adversarial inference' in Journal of Medical Image Analysis 2021, 'Hypothesis disparity regularized mutual information maximization' at AAAI 2020, and 'Implicit class-conditioned domain alignment for unsupervised domain adaptation' at ICML 2020.
Research Experience
- Works as a research scientist at imagia; previously, he was a postdoctoral fellow at MILA.
Education
- From 2016 to 2018, he was a postdoctoral fellow at the Montreal Institute for Learning Algorithms (MILA) under the supervision of Aaron Courville. Prior to that, he obtained his PhD from the University of Sherbrooke, supervised by Hugo Larochelle and Pierre-Marc Jodoin, with a focus on developing deep learning models for brain tumor segmentation using medical images.
Background
- Research interests include representation learning, meta-learning, and uncertainty. Currently a research scientist at imagia, focusing on developing machine learning methods applicable to healthcare.
