About

I’m a robotics researcher focused on distributed estimation, planning, and control for multi-robot autonomous systems. I currently work at Rosor Exploration, where I develop UAV autonomy, including sensor integration, VIO, and robust low-altitude navigation. My academic research spans factor graph optimization, Gaussian Belief Propagation, and scalable multi-robot coordination. I’m supported by the NSERC CGS-M and the Vector Scholarship in Artificial Intelligence.

Contact: GitHub: h2jaafar · LinkedIn: hussein-ali-jaafar

Research Interests

Distributed estimation and control
Factor graphs and Gaussian Belief Propagation (GBP)
Multi-robot coordination and planning
Probabilistic perception and mapping
Learning- and model-based autonomy
Aerial and field robotics

Education

MASc, Mechanical and Industrial Engineering, Toronto Metropolitan University, 2023–2025 (expected)
BEng, Mechanical Engineering (Mechatronics), Ryerson University, 2018–2023; Dean’s List

Skills

Languages: C++, Python, Rust, MATLAB, JavaScript, HTML, CMake, Git, Unix
Robotics: ROS/ROS2, ArduPilot, PX4, Gazebo, Factor Graphs, Lie Algebra, NVIDIA Jetson
Machine Learning: PyTorch, TensorFlow, Deep Neural Networks, LSTMs, GANs
Engineering: Control Systems, Distributed Networking, Statistical Inference, Algorithms
CAD: SolidWorks, OnShape, CATIA, Blender, AutoCAD, FreeCAD, Cura

Awards

NSERC CGS‑M (2023)
Vector Scholarship in Artificial Intelligence (2023)
Stalin Boctor Graduating Student Award (2023)
NSERC USRA (2022)
MAX MSF Mechanical Engineering Scholarship (2021)
Undergraduate Research Opportunity Award (2020)

Service

Reviewer: IEEE ICRA 2025; IEEE L‑CSS 2024; IEEE RA‑L 2024
Mentor: Undergraduate research, RCVL (ROS, SLAM, Gazebo)
Contributor/Partner: ArduPilot Open Source Project

Teaching