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 […]

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 […]

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 […]

Thermal analysis is performed on a proposed design change on electronic assembly to ensure that it meets customer requirements (temperature ranges) and is a more cost-effective design. Such design change should be cost efficient. The important aspect, in addition to the design, is interacting with different engineers at different positions in the company. Working with […]

Electronic assemblies are used to control various systems in an aircraft. Under normal operating conditions, these undergo vibration, and therefore have an expected life span. Different designs are analyzed to reduce production cost, and these designs must ensure that the electronic components contained within the hardware can tolerate the same operating conditions without failure. With […]

where the best sites, and combinations of sites are, is critical to facilitate private investment in wind electricity. The proposed research with Brookfield Renewable Energy Partners L.P. will determine the most desirable locations for large-scale wind farm deployment, as well as the cost of electricity supplied by such farms to a selection of Canadian demand […]

In epidemiological studies, most of the existing research tried to investigate the long-term trends (e.g., yearly) in the disease data. However, in this project we will investigate the spatio-temporal patterns of snake bite and suicide in India, both of which are the significant health concerns in India. For both snake bite and suicide, the seasonality […]