Effect of Music on Interbrain Synchrony: A Close Look at Triad of Disabled Children, Parents and Music Therapist – Year two

Kids with one, two or three or more disabilities require special care and rehabilitation services. Specifically, for children with severe disabilities who are non-speaking, the opportunities for social interaction and participation are often limited. However, it is believed that these children continue to form relationships with those around them and that the brain encodes these […]

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Developing a Smart Tool for Enhanced Oil Recovery Screening Based on Artificial Intelligence

Oil production constitutes a significant portion of the world’s demand for sources of energy and raw materials for production of numerous daily-needed items. However, most of the currently producing oilfields are in their production decline phases with much of their oil left unproduced due to technical barriers. Sustained production of these underground resources depends on […]

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Harnessing the potential of land-based Aquaculture by-productsthrough the use of aerobic bioreactor technology

The overall project goal is the adoption of ensiling and aerobic bioreactor system used within recirculating aquaculture systems, a developing industry within aquaculture. RAS, produce waste streams incorporating various fish wastes. Some RAS operations integrate fish processing facilities onsite, further increasing waste products. Currently waste products form these systems are disposed of through outside contractors […]

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Innovating a crop assessment system using a real-time, hardware-based drone image processing system to support on-the-spot decision in agriculture

Agricultural producers are concerned about producing food, increasing productivity, and making sustainability, while drones along with governments, technology leaders, and industry are playing an important role as a part of solution of this [9]. This drone imagery is for farmers so that, they can fly their fields, and not only pinpoint issues such as, irrigation […]

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Enhancing horticultural production through carbon dioxide enrichment and heat recovery from municipal organics composting

Vertical farming is an innovative urban agricultural practice that can efficiently use resources to supply food for communities, while high energy cost is becoming an economic bottleneck to long-term development and growth of the technology. The potential exists to capture and take advantage of by-products generated from the biological decay of the organics during the […]

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Quality Assurance and Safety Tools for Emerging Drone Technologies

Drone Delivery Canada (DDC) designs and operates high performance Remotely Piloted Aerial Systems (RPAS) to deliver payloads between depots and warehouses. Safety and quality assurance (QA) play an integral role in assuring that drone technology is accepted by the public, consumers, and the Canadian government. The demand for more advanced testing on both the drone […]

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Dynamic Deep Generative Graph Models for Financial Forecasting

Borealis AI has access to a huge amount of financial data related to the stock market and is interested in leveraging recent developments in machine learning to better understand this data. Some potential questions emerging from this data are: (1) Given the closing price of a stock in the recent months, can we predict the […]

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Turn-Key Robot Motion Planning Solutions

To increase the speed at which companies can develop robots we plan to create a package containing a number of key path-finding programs which can be easily connected with any robot. This will make it easier to produce both commercial and experimental robots without the need to create a path-finding program unique to the robot. […]

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Fast Awake OSA Screening and Characterization using Anthropometric and Sound Features

Obstructive sleep apnea (OSA) is one of the most common yet underdiagnosed sleep disorders. Undiagnosed OSA, in particular, increases the perioperative morbidity and mortality risks for OSA patients undergoing surgery requiring full anesthesia. OSA screening using the gold-standard Polysomnography (PSG) is expensive and time-consuming. This proposal presents four research projects/points to apply advanced signal processing […]

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Using machine learning to identify and contextualize residential rainwater downspouts and guide stormwater outreach programming

Municipalities are seeking ways to reduce the effects of uncontrolled rainwater and one of the primary contributors to the problem is residential downspouts. Downspout disconnections and redirections are low-cost ways to reduce the overall imperviousness of urban and suburban landscapes and ameliorate stormwater issues. This project will use machine learning to analyze Google street view […]

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Characterization of a DTI Tractography Pipeline for 3D Visualization of Spinal Cord Pathology

Spinal cord pathology causes significant burden to the individual and society-at-large. Treatment is complex and made more difficult by difficulties in clinical imaging of the cord microstructure. Using recent advances in image acquisition techniques and image processing toolsets, this project will investigate a semi-automated pipeline to visualize boundaries of spinal cord pathology for the purpose […]

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Advanced AI for Demand Forecast, Assortment Planning and Plan Monitoring in Fashion and Apparel Retailing

Retailers require reliable demand forecasts for their operations management and planning. Demand forecasting for fashion products is, however, an extremely challenging task. A good solution for this problem should address at least the following three questions: (i) high volatility of demand and its dependence on external factors (ii) forecasting flexibility for different spatio-tempo-hierarchical aggregation levels, […]

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