Mohamed Mohamed (Mohamed Abdelpakey)

I'm currently a senior AI Engineer at Virtek Vision International and Adjunct Professor at the University of British Columbia.
Previously I was a postdoctoral researcher at University of British Columbia - Okanagan, Computer Science department, where I worked on computer vision and machine learning. I obtained my PhD with distinction in Computer Engineering from Memorial University of Newfoundland where I worked on object tracking using deep learning.

My research interests are focused on Artificial Intelligence such as meta and online learning, object classification, tracking, segmentation, and detection. Recently, I have been working on self-supervised learning and meta-learning.
My research has been recognized by best-paper nomination at ISVC '19, my work with collaporators is highlighted on the front page of J. Imaging and UBCO Faculty of Science media release. Focusing on COVID testing based on automated analysis of xrays.

Email  /  CV  /  Google Scholar  /  Github

Here are samples of my work (I'm still adding my work for the complete list please go to this LINK).

Incorporating lidar and explicitly modeling the sky lets you reconstruct urban environments.

Dense depth completion techniques applied to freely-available sparse stereo data can improve NeRF reconstructions in low-data regimes.

Design and source code from Jon Barron's website