Meta-information Extraction from Large-scale Streaming News for Entity-level Media Intelligence and Reporting – Year two

Gnowit is an Ottawa-based information services company that employs artificial intelligence and machine learning to automate the process of monitoring web sources at scale to provide real-time briefings and notifications for the purposes of competitive intelligence, evidence-based policy research and media monitoring. The company currently monitors more than 40 thousand web sources and generates atleast […]

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Evaluation of a micro homes pilot project in Ontario; co-designing best practices for the implementation of housing projects to address chronic homelessness

In recent years, significant attention has been paid to ending chronic homelessness in Canadian communities. As communities implement these initiatives, they confront many practical problems. Given the nuances of implementation and the many decisions and compromises that communities need to make, having a robust and thoughtful community engagement and co-design process that incorporates the relevant […]

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Performance Evaluation of Solvent Co-Injection Scenarios in Steam Assisted Gravity Drainage (SAGD)-Based Bitumen Recovery

Through the outlined objectives and methodologies, this project aims at evaluating the performance of the solvent assisted bitumen recovery techniques under various operation scenarios and in presence of reservoir heterogeneities. The objectives are fulfilled through advance numerical reservoir simulation studies, detailed review of the present technologies, and analyzing the laboratory/field production results. Ms. Fazlyeva will […]

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Applications of ML/AI in Asset Management – part 2

ML/AI is widely used and deployed in many industries. Its deployment in Asset Management industry (and especially in Canadian pension fund sector) is significantly behind. Part of it is the fear of “black box” and what recommendation it gives. This sentiment is outdated as the recent advancements in ML/AI allow looking inside the “black box […]

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Journeys through Early Learning and Care

The Mitacs project will build on the findings of a 2019 study and explore the experiences of newcomer families—specifically those in the cultural minority—with children 0-5 years old in community-based early learning and child care (ELCC) in Edmonton. The study will look at the lived experiences of these families as they access and receive ELCC […]

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Guidelines for Evaluating Service Programming for Autistic Adults: A Patient-Oriented Perspective on Service Evaluation using Functional Criteria

Currently there are few standards for evaluating service delivery, and since health care service delivery is a domain of the provinces, new health care services need to be tested and evaluated in each province before being widely offered. This leads to inefficiency in evaluations as well as unequal access to new services across the country. […]

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Development of a wet fractionation process for producing millet protein ingredients

The quest for finding plant protein alternatives to traditional protein sources (e.g., meat, dairy, eggs and soy) used by the food industry is being driven by consumer demand for healthier choices, population growth, environmental sustainability and regulator influencers. Millet represents a staple food for developing countries, especially in Africa and Asia, and represents rich source […]

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Exploring the Utility of TVISFD with MLSE LaunchPad in Moss Park

MLSE LaunchPad is a sport for development (SFD) organization in Moss Park, Toronto that uses sport and physical activity to build healthy communities. A trauma- and violence- informed approach is a treatment practice used to provide safe and inclusive spaces for traumatized youth, however, it is rarely incorporated in SFD programs. In collaboration with MLSE […]

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Applications of ML/AI in Asset Management – part 1

ML/AI is widely used and deployed in many industries. Its deployment in Asset Management industry (and especially in Canadian pension fund sector) is significantly behind. Part of it is the fear of “black box” and what recommendation it gives. This sentiment is outdated as the recent advancements in ML/AI allow looking inside the “black box […]

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AAV Vectored Immunoprophylaxis for Prevention of Respiratory Infectious Diseases

This project aims to provide an alternative therapeutic for the prevention and treatment of the virus responsible for COVID-19, SARS-CoV-2, as well as respiratory syncytial virus and influenza. Using a single viral vector platform, we will deliver antibodies from human survivors of these diseases to provide sustained levels of protection against the virus for all […]

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Building Capacity for Campus Suicide Prevention: A Policy Practice Partnership

Post-secondary student mental health is of great concern, with increased rates of anxiety, depression, feelings of isolation, and suicidality observed. The COVID-19 pandemic has exacerbated mental health stressors and concerns about campus suicides, already on the rise. In response, the BC Ministry of Mental Health and Addictions has funded the BC Campus Suicide Prevention Initiative […]

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Minimization of Switching Power Converter Ripples in RF Power Amplifier Circuits

As the power processing density in new technologies such as 5G and 6G increases, reduction of ripples caused by switching power converter operation becomes a gradually more difficult design problem to solve. Analysis of these ripples and exploring various methods for the ripple reduction in the RF power amplifier circuits are the main topics for […]

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