Training in Virtual Environments on Mobile Devices

New emerging Virtual Reality (VR) technologies and mobile devices are changing the way that we are interacting with computing technology. The partner organization has a multimedia product that is used to train technicians to perform various maintenance tasks or introduce them to the interconnected components of a machine. The goal of this project is to […]

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Modeling and HIL Simulation of Modular Multilevel Converters

The proposed internships will be aimed at developing advanced computer (software) and hardware platforms for simulation of modern power-electronic converter systems used in emerging electric power transmission systems. In particular, modular multi-level converter (MMC) simulations will be targeted. These converters are considered the primary candidates for dc systems used to integrate renewable energy sources into […]

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Exploring cloud computing paradigm for Telecommunication Applications

For economical and simplification purpose Operators in the Telecom market are looking to move as much as possible of their infrastructure from traditional deployment to Cloud deployment. However Cloud deployment of IMS still need to be defined and developed. This project aims at bringing further the knowledge for such a deployment and helping guide future […]

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Energy Efficient Subthreshold design for NVM circuits

In this research we are aiming to build smart wearable and standalone units which can be used in our everyday lives for things such as: i) tracking vitals, and storing information; ii) monitoring sporting activities; iii) collecting ambient (in house and in air) statistics for smart home monitoring systems; iv) location tracking; v) emergency response […]

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Human Motion Inverse Optimal Control Constraint Learning and Inertial Measurement Unit Sensor Design for Rehabilitation

During physiotherapy a continuous assessment and progress tracking of a patient’s performance is of clinical interest. In this project, based on the promising results from the initial prototype, we will redesign the wearable sensors to improve tracking accuracy, communication speed and robustness, incorporate onboard data storage and computation, and minimize cost and size. Furthermore, we […]

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Computer vision system for ice detection on power cables

In northern countries, ice storms can cause major power disruptions such as the one that occurred in the Toronto area on December 2013 that left more than 300,000 customers with no electricity immediately after the storm. Prediction of ice formation on power cables can help on taking actions for removing the ice before a major […]

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Modeling and Analytics for Big Data Applications

It has always been challenging to manage data at large-scale as there are no standards and best practices currently available for modeling and analysis of data. Currently available solutions rely on limited information and are confined to manual processing which makes the process of data handling and management slow, inefficient and hard. This makes modeling […]

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Modeling and Analysis of access-control policies (SELinux and/or SMACK)

Access-control policy management is an increasingly hard problem from both the security point of view (is the policy “safe”?) and the functionality point of view (does the system still work as expected?). Even when a policy is considered both safe and functional, each addition, deletion or modification of the policy has the potential to break […]

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High Bandwidth Biometrics Data Hosting and Analytics in Cloud-based Storage Systems

Cloud hosting environments include large scale distributed storage systems. With the advent of Big Data, especially newer biomedical and biometrics data, collected from wearable monitoring devices, there is a high need for Cloud-based solutions for large scale storage and high bandwidth on-the-fly data analysis for such data. A key problem for IT companies that collect […]

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Neuromorphic Computing with Stochastic Binary Weights Based on Magnetic Tunnel Junctions

Many problems which are best solved by neural networks are exhibiting rapid growth in nascent and existing fields, such as natural language processing, and image recognition for self-driving cars. Current limitations in manufacturing technologies impose limits that prevent these performance demands from being met through conventional methods. Neuromorphic computing has been proposed as a potential […]

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Efficient Signal Processing and Radio Resource Management for High-Throughput and Low-Latency Massive MIMO Cellular Systems – Year two

Future cellular systems must accommodate increasing demand for very high throughput and low latency data services. Massive multiple-input multiple-output (MIMO) approach involving base stations equipped with much larger numbers of antennas than the numbers of users served promises to significantly increase network capacity, while nonorthogonal multi-carrier transmission is expected to dramatically reduce the latency. Integration […]

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