AR Marine Visualization System

A sailor needs to obtain real-time information about the status of the sailboat and also derive an accurate approximation of the behaviour of the surrounding environment, in order to safely and successfully sail a boat. We also aim to investigate how providing vital knowledge using an immersive approach will affect the cognitive load on the […]

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Robust Non-contact RF Sensing for Human Vital Sign and Activity Monitoring

Non-contact sensing for vital signs and human activities utilizing wireless signals has attracted a lot of attention in the last few years. Sensing using Ultra-wide-band or milli-meter wave radios is advantageous in its ability to penetrate garments or walls, operate under different lighting and weather conditions, and better preserve people’s privacy. Despite successful research demonstrations, […]

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AI-based Platform for Population-level Social Isolation Detection and Prediction

Social isolation is a serious public health issue which has many negative effects on quality of life and well-being of individuals. This research project aims to develop and test a Minimally Viable technology platform (MVP) to tackle population-level social isolation. This platform is designed to collect and analyze surveys from the users and detect socially […]

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Detecting defect inducing changes

This project will look at improving the quality of software by using AI to determine if a defect / issue exists and if so where it exists for easier fixes. This research is innovative and this domain is not proven. The student will explore new techniques for a highly relevant issue in industry. The industry […]

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Pairing Meteorological and Power Data for Marine Hybrid Electric Boats

Research will be conducted to determine the best way to visualize and operationalize electric and diesel engine performance data collected in real-time for vessel owners and operators. The boats involved in this research work are candidates for using hybrid electric/diesel drive. The methods of displaying data will be explored to determine the best way to […]

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Evidence-driven strategies for successful schooling outcomes of learners of African descent in Nova Scotia

Research has identified that a gap exists in the academic achievement of Nova Scotian students of African descent as compared to their peers. Taking an Africentric approach, this research aims to understand how schools, families, and communities can collaborate to provide an enabling environment for learning so that Nova Scotian students of African descent succeed […]

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Machine Learning for Auto-Scaling Corda Node Containers

We are looking to drive the operational cost down for Corda R3 nodes. Corda R3 is a smart-contract Distributed Ledger technology. Our strategy is to do so by minimizing the cloud computing resources. Using machine learning and historic data we can proactively orchestrate a large number of nodes on behalf of our clients. The interaction […]

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Saccade Concussion Diagnosis System

The underlying technology will leverage artificial intelligence (AI) to analyze oculomotor (eye movement) data to learn and extract human translatable features/symptoms of concussion. The software is computationally light-weight that is capable of running on portable hardware with minimal computational power. The intern will examine the system’s commercialization by conducting interviews with potential customers and identifying […]

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Prevalence of moderate-to-severe Osteoarthritis pain of the hip and knee by Index Joints in Canadian Primary Care: A proof of concept study from the Canadian Primary Care Sentinel Surveillance Network

Osteoarthritis (OA) is a common disease in middle-aged and older Canadians attending primary care practitioners. As the Canadian population ages and with increasing obesity, OA will become an increasing burden for individuals and the health care system. Given the potential of Electronic Medical Record (EMR) data for surveillance of the population that is at high […]

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Exploring the Potential of Convalescent Plasma Therapy as an Intervention in the Pandemic Response

Convalescent plasma–used for over a century as the first treatment option in outbreaks caused by novel pathogens. The therapy involves transfusion of blood plasma from recovered donors, which contains antibodies, that can prevent or treat infection in recipients. Convalescent plasa therapy has been observed empirically or in small studies to confer passive immunity to susceptible […]

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Dynamic Scheduling of NPC Behaviours in Modern Video Games

Persistent Non Player Characters (NPCs) in many modern video games follow schedules guiding their routines and behaviors over time as the player engages in play inside the game’s virtual world. In a game like Ubisoft’s recently released Watchdogs: Legion, where schedules are a player-facing game mechanic, a robust scheduling system is highly important and critical […]

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