My name's Craig Loewen. I'm currently a Program Manager at Microsoft, and before
that I studied Mechatronics Engineering at the University of Waterloo. I pride myself in
being a cross-discipline problem solver. I've worked in a wide range of industries, from automotive
to
software, and have a wide range of skills from development to management. I enjoy designing,
creating,
and leaving things better from where I found them.
I'm a South African Canadian, and have lived in Europe, Africa, and Canada. My main hobbies are
weight lifting, playing the guitar and
hiking.
The Windows Subsystem for Linux latest updates and future improvements
October 05, 2022
Prague, Czech Republic
WatVision
WatVision is a project that aims to empower every blind or visually impaired person
to use any touch screen.
The project was my Fourth Year Design Project for my Mechatronics Engineering Degree at the
University of Waterloo.
We ended up winning the national James Dyson award for all of Canada as well as the General Motors
Innovation Award, and the 2nd place in the people's choice award.
The WatVision system includes an app, and a ring that you wear on your finger. You run the app, and
point the camera at the touch screen
you wish to interact with. The app will tell you when it's seen and understood the screen. After
that, you can move the finger wearing
the ring around the screen and it will read out to you whatever is underneath your finger. If you
want to learn more (or see it in action)
check out the website!
My Other Projects
I've worked on tons of other projects and here are some highlights! Click on an image below to learn more:
I love to travel and have lived in many different places. Most recently, I lived in Konstanz
Germany where I was able to speak in both German and French. I enjoy learning about new places and
cultures.
LEARNING
I work on multiple pet projects in my spare time. In 2014 I built my own working quadcopter
from scratch, programmed it, and learned how to fly it. I've built a Hydrogen fuel cell powered RC
car, and a robot that can launch jelly beans into your mouth from across the room.
TRAINING AND ADVENTURING
Another way that I push myself is through physical training, and adventuring outdoors. 'For me life
is continuously being hungry. The
meaning of life is not simply to exist, to survive, but to move ahead, to go up, to achieve, to
conquer.'
- Arnold Schwarzenegger
My goal for this project was to build and program my own quadcopter. I used an Arduino, a chip that senses orientation, and motors to create my own flying remote controlled drone. It used a PID controller, and hardware interrupts to create a smooth user experience.
General Motors
While managing the chassis section of the General Motors production line, I oversaw a quality based project to reduce the amount of cars that would need to be repaired at the end of the line for not having their brake lines installed properly.
Challenge
Brake lines on modern cars are quite complicated on an Engineering level. They span the entire length of the car, and so many different teams on the production line install different parts. It was a significant challenge to track exactly where the issue was coming from, and to properly work with over ten production teams of fifteen people each to solve the problem.
Result
By using the 5 why process to root problem solve, I was able to track the problem to specific joints on the brake line. Counter measures were put in place, such as altering the configuration of parts when they arrived at the factory, and I was able to reduce brake fluid fill faults at the factory by 50%.
Siemens
I began a continuous improvement project to increase worker productivity by creating a new device to more effectively measure the torque of tools used in the warehouse. This included laying out requirements, and designing and building a functioning prototype in German, that a German worker could use.
Challenge
When I arrived in Germany, I did not speak any German. After learning as much as I could, and studying hard everyday, two months into my work term I was able to sit down with a worker who spoke only German and explain the new process to him, plus get his feedback.
Result
The prototype was significantly more effective than the tool system that Siemens had in place. With the code and the printed circuit board that I had designed, by the time I was leaving back to Canada Siemens was ready to start creating a working version of the project.
FlappyBird AI
The picture above shows the ‘brain’ (read: Neural Network) of a bird that I designed and how it chooses when to flap to complete an obstacle course.
The picture above shows the learning process. By randomly creating a bunch of different brains, having them complete the course, and then creating a new generation based off the birds that went the farthest we can ‘evolve’ a smarter bird to be better at the game.
Development
The point of this project was to make a computer learn how to play a game, effectively. I was able to develop a neural network using C++ that evolved using a genetic algorithm. The ‘fittest’ birds will reproduce the most, and these are the ones that jump through the most obstacles. The brain works by feeding in several inputs (seen above) and the neural network produces an output which will tell the bird to flap or not. After some experimentation I found one layer of six nodes worked best on creating a bird that was quick to learn.
An explanation of neural networks and genetic algorithms
In a simple manner, neural networks are a way of approximating how neurons function in your brain. Each neuron adds the values of the neurons before it based on a given weight, The last neuron is the output neuron, indicating when the bird should flap. So in short, each neuron’s weight is how much the brain cares about that specific input, (so speed, distance to obstacle top, etc.) which allows the brain to make complex actions.
These weights are modified after all the birds have failed. The one that moved the farthest is the most likely to reproduce. This process follows the biological process in nature. Two bird brains are chosen, and they have a chance where their ‘chromosomes’, which are their associated weights in the network, are crossed over to form a child. This child also has a chance to have a slight mutation, which will slightly change a weight.
Spot Me is a project that I started working on in my spare time.
The goal of the project was to leverage machine learning to teach people how to exercise properly with correct form.
In the summer of 2017 I participated in Microsoft's OneWeek hackathon and brought together a team to make a demo of the project.
It was a lot of work (especially as I was the lead project manager and lead developer) but we ended up with a really awesome demo and website which you can see below!
