Amyotrophic lateral sclerosis (ALS) is a devastating disease that affects many parts of patients’ lives, such as the abilities to think, move, and speak. Speech problems in ALS can have a substantial effect on patients’ quality of life. They are also related to faster disease progression and shorter survival time. It may be possible to […]

Deep learning is nowadays one of the most popular areas in computer science which has shown extraordinary performance and enjoyed wide use in a variety of fields. This research project is aiming at exploring the application of deep learning algorithms in two fields: autonomous driving with 5G networks, and facility maintenance with CT scanning. In […]

pre-agreed price. The problem of what an option is worth is usually solved using costly numerical simulation methods. We will apply Deep Learning methods to solve the Option Pricing Problem. This cutting edge technique has the advantage that, once trained, the model can simulate many scenarios at a low computational cost. Unfortunately, training is costly […]

Polytellurophenes are an emerging class of semiconducting polymers showing promises in organic electronics. However, their commercial potentials are still held back by the synthetic scale. In this collaborative efforts with 1-materials, we aim to develop a synthetic strategy to produce polytellurophenes from a laboratory scale to a pilot scale to meet the increasing market demands. […]

We are building a machine learning algorithm to be able to better understand the unstructured clinical notes. This will help the medical coder and auditor to quickly navigate the clinical notes and locate the text that corresponding to the codes. Reduce the chance of missing labels and mis-labeling in the coding review process.

Recently, a new method has been established for high sensitivity electromagnetic field detection using a quantum effect in atomic gases. This technique has several advantages over classical antenna-based sensing methods and has promising applications in many fields including environmental monitoring and materials characterization. This project will focus on the development of a novel vapour cell […]

Despite advancement in asbestos education and knowledge, there remains a shortcoming in area of management of asbestos exposure, which results in human health impact. This shortcoming was documented in a study carried out in Minneapolis, Minnesota (Alexander et al 2012). Alexander and colleagues examined the population exposed to asbestos and looked into evidence of lung […]

A successful computer application can easily have millions of users, but handling the network traffic generated by millions of users is not easy. The server system has to be well designed in order to properly process large, concurrent, and distributed data streams without affecting user experience. In addition, users do not generate data constantly, they […]

Industries using fossil fuels as their energy source are contributing to global warming as the required energy for their processes is supplied by combusting fossil fuels. CO2, a greenhouse gas, is a products of combustion. Using electricity generated by hydropower as the heat source may eliminate CO2 emission. One of the commercially available electric heaters […]

Rapid and open dissemination of research is critical for the advancement of science. Preprint servers (such as MedRxiv, BioRxiv, PsyRxiv, and aRxiv) are becoming increasingly popular in health and medicine to share early research results, particularly in the context of the current COVID-19 pandemic. Given the need for rapid peer review, we need to innovate […]

The purpose of this project is to identify bees and evaluate plant-pollinator networks based on the biomonitoring surveys conducted at the Meadoway in 2020-2021 with the Toronto and Region Conservation Authority (TRCA). The aim of these surveys is to develop a baseline understanding of bee diversity in The Meadoway and evaluate the effects of plant […]

Heart failure (HF) is the third most common reason for hospitalization in Canada, where, the direct health care costs of HF are $2.8 billion. HF affects 600,000 Canadians with median survival of only 1.5 years after diagnosis. HF patients stay longer at hospital. Even after discharge, 1 out of 5 of patients returns to the […]