Sound insulation performance of an innovative mass timber floor system

Acoustic comfort in all types of buildings is essential to our daily life and work. Mass timber buildings provide us the solution to construct green buildings with much less carbon footprints compared with concrete and steel buildings. This project will investigate the sound insulation performance of an innovative mass timber floor system through experimental testing. […]

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Modelling wind farm induction using high/low fidelity tools

Today’s wind energy prediction procedures ignore the flow deceleration, also known as blockage, caused by the wind farm on the approaching wind, resulting in a power overprediction bias that pervades the entire farm. Numerical large eddy simulations (LES) of wind farms immersed in atmospheric boundary layers (ABL) will be used to study the phenomenon and […]

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Developing and implementing novel microfluidic scanning probes for spatial profiling of heterogenous tumor samples via a multi-omics approach

The aim of the project is to develop microfluidic technologies to analyse heterogenous tumor tissues/cells via a multi-modal approach using spatial genomic, transcriptomic and proteomic data. The resulting data obtained could be used for prognostics, diagnostics and prediction of therapies. Microfluidic scanning probes (MFP) technology, invented by the Kaigala team while at IBM Research in […]

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Pay for Performance Intervention Funding

Social impact bonds (SIB) have the potential to fund proven social innovation projects that governments have to date, for a variety of reasons, been reticent to fund. Through a SIB, private investors fund innovative social intervention work that is carried out by a non-profit. If the non-profit achieves certain social outcomes previously agreed upon by […]

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Machine Learning-Based Pitch and Chord Detection for Embedded Systems

This project proposal is to create an AI-based musical pitch and chord detection system suitable for deployment on a hardware device. Most of the research in this area is conducted on computer-based systems with large amounts of memory and computational power. Our goal is to develop new state of the art methods for doing this […]

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Short-term effects of the Site C Dam and reservoir on Bank Swallow Riparia riparia populations along the Peace River

Renewable energy sources, such as hydroelectric dams, provide electricity to many Canadians and are important for meeting climate change targets. However, during construction, dams permanently alter the physical characteristics of the river systems and this may have consequences for the species using these ecosystems. This project will evaluate the potential changes in the distribution, abundance, […]

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MEV protection through delayed execution and time-locked puzzles

Blockchain technology is, by nature, transparent and decentralized. However, transparency can sometimes be a direct threat to the system’s decentralization when most of the profitable transactions get stolen by several high-power entities. This de-incentivizes new users from using the system and renders the whole system useless. In this project, we aim to guard decentralization against […]

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Business Modeling for Fisheries Monitoring at Ecotrust Canada

In the past, Canada’s fisheries have been improperly managed, which has led to overfishing and general downturn of fisheries economics. Because of this, the federal government has mandated that all fisheries be monitored to ensure that the proper regulations and quotas are being followed. Recently, the onus for this monitoring has been transferred to the […]

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Psychological Flexibility in Traumatic Brain Injury (TBI): A Pilot Study

Traumatic brain injuries (TBI) are a debilitating condition that can result in neurocognitive impairments, affecting areas of memory, executive functioning, and behavioral regulation. Often, symptoms are diffuse and heterogenous, making rehabilitation efforts difficult to implement. Moreover, risk factors can impact the trajectory of one’s recovery, including personality traits and behavioral control. Given the influence these […]

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CADSIM Plus simulator, evolutionary algorithms, rule based expert system, neural network.

In industries, chemical processes involve different plants running in parallel with different production rates under the strict constraints on available resources. Therefore, events like shutdown of one or more plants, operating plants with different production grades with flexible run length time, equipment utilization rates of different plants etc. are vital to be studied, scheduled, and […]

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Designing and engineering scalable lipid-based drug delivery systems to improve the delivery and bioactivity of cannabinoids

It is clear that Cannabis has therapeutic activity. The evidence comes from a long history of use for managing disease symptoms including pain, inflammation and anxiety. However, there is a paucity of scientifically rigorous research exploring the specific activity of Cannabinoids in the body under both normal and disease states. With the legalization of Cannabis […]

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