I'm Andrew Lawrence Stewart

I'm a Ph.D. candidate at the University of British Columbia

See what I do


University of British Columbia

I am a Ph.D. candidate in the material's engineering department of the University of British Columbia under the supervision of Professor Anoush Poursartip.

My current area of interest is in fibre alignment defects occurring during processing of aerospace grade carbon fibre reinforced composite materials. Much of my work has employed image analysis techniques to generate large datasets on incoming material properties as well as applying image analysis to track defect initiation and propagation. Working with these large datasets has necessitated the creation of novel automated techniques for effectively reducing the information to communicable results.

University of Ottawa

I completed my master's of applied science at the University of Ottawa under the supervision of Professor François Robitaille in the summer of 2012. My area of research was in the measurement and analysis of fluid transport through porous media, specifically with respect to liquid transport moudling of composite materials. The title of my thesis was 'Measurement and Analysis of Flow in 3D Preforms for Aerospace Composites' and a digital copy of it can be found here.

I graduated cum laude from the University of Ottawa in the spring of 2010 where I received a bachelor's of applied science in mechanical engineering.

PhD Research

Data driven contributions

My doctoral work focused on carbon fibre reinforced polymer (CFRP) materials. Specifically, I studied a type of fibre alignment defect, wrinkling and waviness, observed during manufacturing.

From the Boeing 787 Dreamliner to the BMW i3, CFRP parts have on the order of millions to billions of individual carbon fibres. However, typical datasets in this field are composed of tens to hundreds of data points. As part of my work, I created an automated procedure, based on image recognition and manipulations techniques, which was able to quickly and effectively return information on over 200'000 fibres. Using this information, along with other novel approaches, I was able to provide a phenomenological model for underlying fibre architecture. The high statistical power from the large dataset provided very high confidence in the results and has been published in the peer reviewed Composites Part A journal.




3D printing

Server: Octoprint

Twisty puzzles


Home automation

Server: Home-Assistant
Source: Github

About me

I'm the type of person who really enjoys learning in general; so when I'm not focusing on my research at work, I typically have one (or a few) projects on the run. I'm mainly interested in DIY projects, especially the intersection of electronics and mechanics. I built a 3D printer a few years ago and it is an instrumental part in realizing most of my projects; from fitting GoPro's onto drones to servo housings for automating my blinds.

I'm almost finished building a 2m x 3m LED wall with over 1000 LEDs in 66 segments; think Ex Machina. I'm also working on a robotic chess board based off of a Core-XY gantry design and standard 2020 extruded aluminium.

From the Raspberry Pi3 running an nginx server forwarding you this page right now to my 20+ piece collection of Rubik's cubes, if you have any questions on anything you see here, please feel free to e-mail me.