Smart Fitness Wearables for Safety and Performance

Measuring the workout intensity and duration is necessary to judge training effectiveness. For instance, a training modality called high intensity interval training (HIIT), involves exercising for short intervals with maximum intensity combined with longer low-intensity recovery intervals. This form of training would help the metabolism to use more fat as fuel, improving athletic endurance, and […]

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Advanced Learning for Automatic Object Detection and Tracking in UAV Imagery

Recently there has been a growing adoption of Unmanned Aerial Vehicles (UAVs) in many applications. Robust object detection and tracking algorithms are required in many UAV scenarios. However, existing object detection and tracking approaches are not specifically designed for UAV and therefore do not have satisfactory performance in UAV. In this MITACS cluster project, by […]

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Fast and robust real-time precise point positioning – Year 2

The main outcome of this Mitacs-sponsored project will be a robust navigation software capable of providing accurate navigation solutions for commercial Unmanned Aerial Vehicles (UAVs). Such a software will further elevate the industrial competitiveness for the partner corporation, the Profound Positioning Inc. (PPI). After finishing this project, PPI will be able to offer more comprehensive […]

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Simulation and analysis of light scatter in head mounted display lens

Head-mounted display (HMD) lenses can include a high degree of scattering (ghosting) which reduces brightness and contrast, and is distracting to the user. This can directly impact the utility of the device, if for instance some of the display is illegible because of excess light scatter and blurring. In this research, we want to investigate […]

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Advancing Out-of-Band Network Measurement for Multi-Hop Sensor Networks

This collaborative project with Rimeware will investigate out-of-band measurement approaches that can passively monitor the network traffic and provide rich detailed network information, e.g., latency, loss, route path, etc. The goal is to build a programmable system for accurate, generic, and robust network measurement. It includes two sub projects. In the first sub-project, we will […]

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Deep Learning to assist requirement translation

Cutting edge techniques in artificial intelligence will be applied to extract semantic information from natural language and work towards building a system that can help engineers write clearer and less ambiguous requirements for complex systems. Models will be developed that are similar to current techniques used by popular translation tools, and will be adapted for […]

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Understanding memory consumption in a distributed data analytics system

Data analytics has emerged as an important driver for economic success in many businesses and in the public sector. In healthcare, using data analytics promises to reduce costs and improve patient diagnostics and treatment. This project is a collaboration with a Vancouver-based company PHEMI Systems that provides data analytics solutions for healthcare and other industries. […]

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Investigating How Teachers Learn and Customize Digital Classroom Tools II

Our proposed research investigates how K-12 teachers learn and customize digital classroom tools and learning management systems and how they share this information with each other. In particular, we will be working with our partner Microsoft to investigate the use and customization of the recently developed OneNote Class Notebooks software that is increasingly being used […]

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Ultra-low power wireless sensor node design for health monitoring use cases

In this project we address the problem of power consumption for wireless sensor nodes. This is where among different components of a sensor, RF transceivers consume a significant amount of power e.g. approximately 80%. Hence the main objective is this project is to tackle the power consumption problem at the RF transmitter, where we aim […]

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Mapping the surface flow velocity of Minas Passage using RADAR data

This project will investigate the use of RADAR data to estimate the ocean surface velocity in regions of interest, specifically where tidal turbines will be deployed in Minas Passage, Bay of Fundy. The Fundy Ocean Research Center for Energy (FORCE) currently owns a single RADAR on the North side of the Minas Passage. Initial investigations […]

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Hardware Support and Heterogeneous Compilation for P4

Today’s data-center network services cover a broad spectrum that evolve rapidly which means that regularly new services need to be deployed in production networks in a timely manner. Using network programmability, a network programmer can write a precise specification of what the network behaviour should be, and this specification is translated by a compiler and […]

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