I am a researcher at Mila and McGill University, where I am co-advised by Prof. David Meger and Prof. Joelle Pineau. I was previously part of the Autonomous Vehicles Lab at the Department of Mechanical and Mechatronics Engineering at the Univeristy of Waterloo supervised by Prof. Steven Waslander.

I'm interested in designing learning algorithms for robotics applications. My work over the past year has focused on reinforcement learning, especially related to transfer learning and imitation learning.

Contact : melissafm24 at gmail dot com

[CV] [GitHub] [Google Scholar]


  • PhD in Computer Science, 2019

    McGill Univeristy

  • MASc in Robotics, 2016

    University of Waterloo

  • BSc in Computer Science, 2014

    University of St Andrews


Learning Domain Randomization Distributions for Training Robust Locomotion Policies
Melissa Mozifian*, Juan Camilo Gamboa Higuera*, David Meger, Gregory Dudek
Multi-Task and Lifelong Reinforcement Learning Workshop (ICML), 2019
avod Joint 3D Proposal Generation and Object Detection from View Aggregation
Jason Ku, Melissa Mozifian, Ali Harakeh, Jungwook Lee, Steven Waslander
International Conference on Intelligent Robots and Systems (IROS), 2018
Code / Kitti Benchmark (AVOD) / Paper Video / More Video/ Bibtex
Deep Learning a Quadrotor Dynamic Model for Multi-Step Prediction
Nima Mohajerin, Melissa Mozifian and Steven Waslander
International Conference on Computer Vision on Robotics and Automation (ICRA), 2018
Quadrotor Dataset / Bibtex

Past Projects