Polycyclic Aromatic Hydrocarbons (PAHs) are a large class of complex organic molecules made of carbon and hydrogen that are ubiquitous throughout the space, accounting for up to 15% of the cosmic carbon. These molecules are made of fused benzene rings resulting in a honeycomb structure with hydrogen atoms at the edges of the molecule. They […]

This work aims to explore software and hardware co-optimization for deep neural network (DNN) inference applications. Once a model is trained to sufficient accuracy, the model is used to make inference or predictions based on this trained model. With increasing performance, more people are using these models for tasks such as translation, self-driving cars and […]

Synchronized cardioversion is a medical treatment that applied an electrical pulse to restore a normal heart rhythm is patients with an abnormally fast heart rate or cardiac arrhythmia. A successful cardioversion is dependent on the amount of electrical current that reaches the heart, which depends on the strength of the electrical pulse and the transthoracic […]

Health disparities arise as a result of long-standing societal disadvantage and discrimination. As machine learning models become more popular in the healthcare sector, understanding of current health disparities becomes even more critical. Without careful management of existing biases, the models can inherit and amplify health disparities, leading to highly undesirable clinical outcomes. This project focuses […]

Based on the user’s geo-location, timestamp and other attributes (eg. time of day, past visit history and app behavior categories, etc.), a machine learning algorithm can be developed to find which cluster the users belong to. Overall, the data of geo-location and timestamp are used to roughly locate the potential clusters. This project will involve […]

Research is rapidly progressing in enhancing the Artificial Intelligence of Robotics. One backbone of this rapid change lies in Deep Learning. Deep Learning refers to new algorithms that are capable of learning behaviors after being trained by several thousands or even millions of examples of what should be done given an input. My project will […]

Kindred offers eCommerce retailers a solution to assist with rapid order fulfilment from their distribution centres. The solution (SORT) is a combination of a so-called put-wall and a humanoid robot. The robot picks up items from orders, scans them, and puts each item in a cubby of the put-wall according to the scan code. The […]

Question Answering (QA) system automatically answer questions raised by users in natural languages, and it is a crucial component of a human-machine conversation system. A typical QA system collects human written question-answer groups and structures them in a database system. However, in order to answer questions that are semantically similar to the questions stored in […]

The aim is to understand how fibroblasts, the most common connective tissue in animals, and cancer cells interact with each other through image analysis. These co-culture imaging screens, containing fibroblasts and cancer cells, will help identify novel signaling mechanism involved in cancer. The objective is to apply deep learning techniques to these image-based assays to […]

Currently, mine water treatment systems within the Sydney Coalfield extract and treat mine water from depth with the aim to gradually ‘flush’ the mine pools of its acid-generating products and achieve good water quality over the long-term. However, since the deep, lower quality mine water is always being treated, significant annual operational costs (>$1 million) […]

The proposed research will study the best way to evaluate sleep disorders among persons who suffered a mild to moderate traumatic brain injury (TBI) in the workplace. We will draw upon the Workplace Safety and Insurance Board-insured workers being evaluated at Toronto Rehabilitation Institute, approximately 300-400 annually, for mild to moderate TBI. This study will […]

As the urgency for action against climate change increases, local governments around the world are committing to reducing greenhouse gas emissions through deep decarbonization targets. Cities are the largest place-based sources of GHG emissions and therefore have great potential to reduce emissions on a global scale. In order to reach meaningful reduction levels, transformative change […]