Examining Environmental, Social and Governance (ESG) policy development in early stage-venture capital firms.

How a company today contributes to the environmental and social well-being of society is becoming a more important part of their business activities. Many large companies have an environmental, social and governance (ESG) policy which guides them on making their business activities contribute to environmental and social sustainability of the planet. But what about businesses […]

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Exterior finish coatings for building façade applications combined with phase change materials and thermochromic paint

The durability of building materials is an important criterion to ensure long-term performance of buildings exposed to various environmental loads. Particularly, exterior building surfaces are exposed to high solar radiation and temperature differences during the year which can considerably influence their durability due to thermal stresses. Additionally, in light of the increasing need for energy […]

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Evaluation of the performance of transcritical CO2 heat pump cycle in conjunction with wastewater energy transfer (WET) system for combined space heating, cooling, and water heating

Wastewater is an abundant and an underutilized thermal energy source that experiences relatively constant temperature year-round with predicted flow rates. These features serve as a heat source/sink for heat pump-based HVAC systems to provide combined heating, cooling and domestic hot water to large-scale commercial, residential, and institutional buildings. There is a substantial potential in extracting […]

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Automated Credit Risk Assessment Systems in Small Business Lending Decisions

Small businesses account for 89.6% of the total private labour force in Canada and, despite the vital role they play in the Canadian economy, fewer than half of small businesses will survive 10 years. One of the most commonly cited causes of small business failure is the inability to raise capital to finance its operations. […]

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Machine learning classification for pump fault and failure detection

This project aims to develop an automated ability capable of detecting faults with pumps. This is referred as “Automated Fault Detection and Diagnosis” (AFDD). Equipment performance begins to worsen throughout time due to various reasons, where these reasons are referred to as “faults”. Generally, there is an understanding of the various faults and causes for […]

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Evaluation of Resiliency in Community Youth Empowerment Programs

Youths experience increased vulnerability to mental health challenges associated with their development and living contexts. Effective mental health promotion must consider the multidimensional determinants of resilience. To address these needs, Dr. Jenny Liu (Elevate applicant) has developed and validated an innovative model, Multi-System Model of Resilience (MSMR), which measures resilience capacities and needs at the […]

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Analysis of the cryptocurrency market microstructure: role of smart order routing

Over the recent years, cryptocurrencies have attracted tremendous amount of attention from both general public and professional investors as a new asset class. However, trading activities of cryptocurrencies are extremely fragmented and unregulated in most of countries around the world. The proposed research project aims to empirically study the microstructure of cryptocurrency exchanges in order […]

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A Reliable Lora based Tracking and Monitoring System for Underground Mines

The mining industry directly employs more than 426,000 workers across the Canada and contributed $97 billion to Canada’s GDP in 2017. However, mining workers are exposed to five-fold higher occupational hazards than the industrial average. Reliable underground communication is essential to alleviate incidents and escalate rescue operations. However, wireless communications in mines is a big […]

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Smart Work Zone Management

Construction zones are one of the leading contributors to Toronto’s ever-growing congestion. The aim of this study is to develop an integrated construction zone traffic management framework to minimize disruption of the traffic and reduce the effect in terms of congestion. This study leverages historical and real data collected from on-board construction trucks provided by […]

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Near-Infrared Dyes for Next-Generation Motion detection technology

Currently, the traditional use of the dye-sensitized solar cell (DSSC) is well-known in the science community as an effective photovoltaic technology, where it works best in diffuse lighting conditions. With the insights brought from this research project, the DSSC can also be transformed into an optically sensing motion sensor based on the dye utilized within […]

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Low Dose Computed Tomography Denoising Using Deep Learning

CT (Computed Tomography) scans are widely used medical images used to diagnose disease such as cancer. CT Scanners pass x-rays through the body in order to generate cross-sectional images. Unfortunately pro-longed exposure to radiation (via x-rays) can damage the body, and thus one aims to minimize the x-ray dose they receive. However, modern CT scanners […]

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