Mahdieh Abbasi's Bio

I graduated with a PhD in Computer Engineering from Universite Laval (UL), researching under supervision of Christian Gagne (the director of Insitute Intelligence and Data and a MILA's professor) and Denis Laurendeau (the director of Computer Vision and System Lab). My Ph.D. research revolved around dependable and secure learning models to adversarial examples and Out-of-Distribution samples. Before joining UL, I was a researcher master student at Digital Media Lab of Sharif University of Technology (SUT), working on 3D human pose estimation under supervision of Hamid. R. Rabiee. I obtained my Bachelor of Science in Computer Science from SUT. As my BSc project, I studied and investigated the community detection algorithms for detecting communities of Iranian Mathematicians around the globe.

Core Competencies

Machine Learning	Deep Learning	Computer Vision
Learn patterns and relationship between data features to predict a desire output	End-to-end layer-wise ML models; learn to extract features, then classify	Understand images (videos); detect objects
Tools: Scikit-learn | Scipy | Numpy	Tools: PyTorch | TensorFlow | Theano	Tools: OpenCV | Pillow | TorchVision

Education Background

PhD in Computer Engineering 2015-2020

Université Laval, Canada

Advisor: Prof. Christian Gagné

Co-advisor: Prof. Denis Laurendeau

Thesis: Toward robust deep neural networks

Msc in Artificial Intelligence 2010-2012

Alzahra University, Iran

Thesis advisor: Prof. Hamid. R. Rabiee

Thesis: Monocular 3D human pose estimation

BSc in Computer Science 2005-2010

Sharif University of Technology, Iran

Project advisor: Prof. Hamid. R. Rabiee

Project: Communities detection from scocial graph

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