Design and Analysis of Picocells in Wireless Cellular Networks

Future wireless networks demands ubiquitous coverage and higher data rates at low infrastructure cost. The novel network deployment where macro base-stations overlaid with low power nodes referred as picocell is the most promising solution towards this goal. The proposed research project intends to evaluate the system-level performance of the picocell wireless network. To quantify the […]

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Using Deep Learning for Auto-tuning of High Performance GPU Applications

Graphics Processing Units (GPUs) are increasingly used to accelerate applications and to reduce their energy use. GPUs are particularly attractive for mobile platforms, where battery life is important. However, GPUs are hard to use, requiring developers to apply optimizations to their code to realize the performance and energy benefits of GPUs–a tedious and error prone […]

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Using Deep Learning to Auto-tune GPU Application

The fellowship mainly investigates an analysis of the state-of-the-art approaches, design and implementation of cutting-edge deep neural network models to be used on a mobile platform. It explored ways to optimize the deployment of these machine-learning models for prediction tasks on the mobile devices which requires energy efficiency and accuracy.

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Applications of deep learning to large-scale data analysis in mass spectrometry-based proteomics

Rapidly increasing amounts of mass spectrometry (MS) data pose new opportunities as well as challenges to existing analysis methods. Novel computational approaches are needed to take advantage of latest breakthroughs in high-performance computing for the large-scale analysis of big data from MS-based proteomics. In this project, we aim to develop new applications of deep learning […]

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Applications of deep learning to large-scale data analysis in mass spectrometry-based proteomics – Year Two

As a result of recent advances in high-throughput technologies, rapidly increasing amounts of mass spectrometry (MS) data pose new opportunities as well as challenges to existing analysis methods. Novel computational approaches are needed to take advantage of latest breakthroughs in high-performance computing for the large-scale analysis of big data from MS-based proteomics. In this project, […]

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Rapid Quantification of Bovine Colostrum Immunoglobulin G and Macronutrients(Fat, Proteins and Lactose) Using FTIR Spectroscopy

Colostrum is the initial secretion from the mammary gland after parturition and it is a crucial source of immunity and nutrition for newborn calves. Because of the placental barrier to immunoglobulin transfer in ruminants, colostrum provides the neonate with immunoglobulins (mainly IgG) essential for passive immunity that plays a key role in the prevention of […]

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Net ecosystem exchange of carbon dioxide over agricultural fields near Lacombe, Alberta: data management and processing

Agriculture/ Agri-Food Canada (AAFC) and Campbell Scientific Canada (CSC) have been operating an “eddy covariance” (EC) meteorological tower near Lacombe, Alberta that measures the flux of carbon dioxide (CO2) between agricultural fields and the atmosphere. This tower provides data that is used to assess plant growth and decomposition across fields which is critical for understanding […]

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E-Community Health and Toxicity

Online communities abound today, arising on social networking sites, on the websites of real-world communities like schools or clubs, on web discussion forums, on the discussion boards of videogames, and even on the comment pages of news sites and blogs. Some of these communities are “healthy” and foster polite discussion between respectful members, but others […]

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Création d’une application mobile visant le développement des habiletés perceptives et productives musicales des enfants

Ce projet vise à encourager le développement des habiletés musicales des enfants de 3 à 6 ans par l’entremise de la technologie. Le recours à une application mobile pour bonifier les habiletés perceptives et productives musicales s’avère une avenue très intéressante à considérer par les parents et les éducateurs. Le recours aux nouvelles technologies éducatives […]

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Dynamic Bandwidth Management

In the telecommunications industry, many schemas exist to cap or limit bandwidth at certain levels for clients. However, there are no real options available to allow clients to intelligently utilize spare bandwidth above their committed purchase rates. We propose to design, implement and evaluate novel bandwidth allocation mechanisms for high speed networks like the Cybera […]

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Prototype Behavior Based Integrity Verification (BBIV)

Web computing, in which the world-wide web is itself employed as a distributed computing platform, is entering a stage of rapid expansion with the advent of Open Web Platform so that programs that once worked only a native environment on desktop, tablets or phones can now work from within a browser itself. There is therefore […]

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