Machine Learning and AI for the Global Futures Markets

This continued project is aimed at using state-of-the-art machine learning, mathematical and AI techniques to create profitable trading strategies in derivative markets. Using our existing framework, we now seek to apply modern algorithms/models with the explicit purpose of implementing fully independent algorithmic trading strategies.

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Evaluating the Current and Future Capacity for Natural Climate Solutions in Canada’s Oceans

Climate change is rapidly altering the planet, and solutions are urgently required to reduce greenhouse gas (GHG) emissions and limit further warming. Blue carbon ecosystems (salt marshes, seagrass meadows, kelp forests, marine soft sediments) are important carbon reservoirs that could contribute to Canada’s climate change solutions. Yet, despite having the world’s longest coastline, Canada has […]

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Characterization of stem cell-derived human dopaminergic neuron subtypes

The goals of this proposal are to develop methods to identify cell subgroups in dopaminergic (DA) neuron cultures obtained by differentiation of human pluripotent stem cells (hPSC), and to exploit this information to improve existing DA neuron differentiation protocols. To realize these goals, we will leverage expertise at STEMCELL Technologies in hPSC differentiation and Simon […]

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Feasibility Study of an IoT-based Real-time Safety Alerting System for Working at Heights in Construction Sites

In the proposed project, we will investigate a solution for increasing the safety of construction workers at heights using an intelligent sensor-based system. A real-time monitoring system will be developed for alerting workers who are getting close to hazardous conditions and areas. The objective is to lower the chance of accidents by enhancing supervision of […]

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Carbon coating to improve Titanium and Aluminum powder properties for LPBF application

Aluminum and titanium components fabricated via laser powder bed fusion (LPBF) process have gained industry interest, especially for automotive and aerospace applications, due to their enhanced lightweight and mechanical properties. For a higher part quality and surface resolution, the use of fine powders is desired for the LPBF process. However, the poor flowability of fine […]

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The effects of AI empathic music therapy on psychosocial and cognitive functions of older adults: a pilot and validation study

Music therapy is an evidence-based effective intervention to promote psychological, social and emotional health, and it is specifically favored by older adults. However, little is known on the efficacy of the AI-assisted empathic music therapy in which the music is continuously adapted to individuals’ mood. To fill this gap, the proposed project will assess the […]

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Smart contracts’ governance: A new order for economic activity?

Recently, a new form of organization—a decentralized autonomous organization (DAO)—has emerged as a novel form of governance. DAO is an organization represented by programmed operating rules that determine who can execute changes to the rules of applications built on blockchains. Through ownership of governance tokens, DAO grants its stakeholders such as users, developers, and contributors […]

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Data Analytics Models for FreshBooks’ Customers’ Engagement

An organization that can effectively understand its specific customers’ needs will be able to follow the best communication approach and accurately measure engagements. A data-driven framework based on the customer’s digital behavior, historical data, will be developed to identify specific customer segmentation and used to find optimal next best action to enhance customer experience by […]

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Developing a Sensitive and Quantitative Opioid Detector for Use in a Clinical Setting

The opioid epidemic is a serious health crisis in Canada, North America, and globally and has worsened during the COVID pandemic. Opioid treatment strategies are at the forefront of efforts to tackle this crisis. To improve the replacement therapy currently used, an estimate of tolerance is required. This proposal takes an existing proof-of-concept opioid detection […]

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Visual Anomaly Detection and Applications in Product Quality Assessment

Currently, most small or medium manufacturers inspect products or parts’ visual quality manually. The manual visual quality inspection is error prone, subjective, and labor intensive. In recent years, image-based automated inspection has seen exciting uptakes in many modern factories. One critical challenge that limits their vast potentials lies in its ability to detect anomalous situations […]

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Africentric Learning Design: Socio-culturally Sensitive and AI-driven Virtual Learning Platform to Support African Canadians

The school closures due to COVID-19 accompanied with the change to remote learning had further exacerbated disparities in the already existing achievement gaps of African Nova Scotian learners in Canada. We propose a technology innovation to be co-developed with the African Nova Scotian community and teachers, offers flexibility in delivery, with content and pedagogical approaches […]

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