This project explores the way in which children learn language, focusing especially on those who come from international backgrounds, and whose families maintain the family language at home. In general, these kids tend to have a much better grasp of the local language (spoken in their school / city / country). We want to know […]

A crisis is looming for many Ontario citizens with developmental disability and other challenges that make their support needs especially complex. In recent decades a process of deinstitutionalization moved the Province away from a morally problematic “warehousing” model towards one where people had an opportunity at meaningful lives in their communities. However, many are living […]

Voices.com, the largest online marketplace for voice talent, have identified Machine Learning as an enabler for future growth. In particular, incorporating Natural Language Processing (NLP) into structured queries and automatic classification of sample recordings. The first phase of this research involving NLP is in the process of being integrated into production. The second phase will […]

The main goal of the proposed work is to develop an ultra-thin and selective GO membrane capable of separating water vapor or steam from air. For this purpose, a suitable membrane supports required to hold the GO sheets. Therefore, the GO sheets will be deposited on various membrane supports and their performance in terms of […]

Pneumonia remains the single leading cause of childhood death under age 5 worldwide. The price per dose of current vaccines is high and supply is limited due to a complex manufacturing process and low yield, significantly reducing its distribution in developing nations.1 A newly patented vacuo dry-glycation process promises much higher efficacy than the conjugation […]

The Province of Alberta (AB) has decided to phase out coal power generation by 2030 and increase renewable electricity production to 30% of total power generation, also by 2030 with the remaining 70% of the power generation being dependent on natural gas. It has been conjectured that part of generation portfolio could be diversified to […]

Game-based learning tools often make use of questions to measure and encourage learning, but generating questions can be challenging, especially at the scale that companies like Axonify are required to do. In this project, the intern will design, implement, and evaluate a system that can apply machine-learning on a corpus of text (e.g., a textbook) […]

Pluripotency is the property by which immature cells can give rise to all specialized cell types within an adult organism. Human embryonic stem cells, or hESCs, are pluripotent cells which have remarkable potential in regenerative medicine. Clinical translation of stem cell therapy requires better culture conditions which properly maintain hESCs. One important regulator of pluripotency […]

Our proposed research is to measure soil erosion and runoff in the field and use it to calibrate water runoff models. The approach is twofold: a) Use of field data for to determine runoff rates and nutrient loading and b) use high resolution non-destructive methods to monitor water runoff after a precipitation event through unmanned […]

Nowadays, we have gaps between job market demands and competencies that students acquire during their university studies. Course curricula in many cases lack practical content that is relevant for employers. With advances in data analytics algorithms efficiency and with automatic data collection from online resources such as online job postings and surveys, we plan to […]

Endocannabinoids are compounds produced by the human body that bind to and activate cannabinoid receptors. There are two major endocannabinoids: anandamide (AEA) and 2-arachidonoylglycerol (2-AG). Both play a role in regulating the firing of brain cells in the nervous system and attenuating immune system responses. As such, the endocannabinoid system is implicated in several clinically […]

This project will develop a hybrid framework by integrating AI and machine learning methods with tabular information extraction and semantic modeling to improve the state-of-the-art precision and recall in tabular detection while maximizing the value of extracted information for industrial applications. Following a properly designed pre-processing stage to improve the outcomes of AI techniques, the […]