Hi, I'm Arnold, a machine learning engineer and data scientist.
I'm a Graduate Researcher at the Vector Institute for AI and I recently completed my MSc in Computer Science at the University of Toronto (2018 - 2020).
Contact me directly at arnold [dot] yeung [at] mail [dot] utoronto [dot] ca
Select Machine Learning Projects
Personalized Self-Explaining Image Classifier
Developed an RL framework which provides end users with sequential personalized explanations for the behavior of an image classifier.
The AI agent will predict what explanations you'll find most helpful as you learn how to simulate its behavior.
Presented at ICML 2020 Workshop on Human Interpretability in Machine Learning (Spotlight)
Battery State-of-Health Determination
Developed a machine learning model which determines the state-of-health of mobile phone batteries using the Cadex C5100 Battery Analyzer.
Completed at Cadex Electronics, 2015
[patent]
Image Colorization with Convolutional Neural Networks
Implemented and trained two CNN architectures (vanilla and U-Net) to colorize greyscale images from the CIFAR-10 dataset.
[code]
Select Engineering Projects
Comparing the Performances of Wet and Dry EEG Electrodes
Designed and constructed an EEG headcap with dry and wet electrodes and conducted human experimentation. Evaluated and compared the performances of different dry electrodes, relative to standard wet electrodes.
Published in IEEE EMBC 2015 (Oral Presentation)
[paper]
Retail Teabag Packager
Identified critical needs of small-scale specialty tea-leaves retailers. Conceptualized and designed an electro-mechanical teabag packager. Manufactured and assembled a physical MVP prototype for demonstration purposes.
[slides]
Concussion Risk Assessment Tool
Developed a framework for assessing the risk of concussion in a sports team based environment.
Published in Brain Injury, 2017
[paper]