Computational and experimental characterization of mechanical performance of cross laminated timber (CLT)

Cross-laminated timber (CLT) is an engineered wood panel typically consisting of multiple layers of glued timber stacked in a cross-ply layup. Timber shows a strong anisotropic mechanical behavior due to its microstructure. With a cross lamination, the CLT possesses superior dimensional stability, strength and rigidity, in comparison to traditional wood products. In Canada, CLT is […]

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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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Toward an Understanding of Beautiful Feather Cover in Laying Hens

Feather pecking (FP) in egg-laying hens, where individuals peck repetitively and excessively at other birds to pull out and eat their feathers, is a challenge for the industry with large economic and welfare implications. High prevalence of FP is reported (60-80%) and this is associated with mortality rates of up to 20-40%, which translates to […]

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STUDY OF INDIAN AND UKRAINIAN LEGAL FRAMEWORKS REGULATING BIOFERTILIZERS AND BIOCONTROL AGENTS IN REFERENCE TO CANADIAN MICROBIAL PRODUCTS – Year two

This research aims at primarily analysing the legal frameworks regulating biofertilizers and biopesticides (also known as ‘biologicals’) in India and Ukraine. After studying and analysing the legal frameworks, and barriers in registration procedures for R&D, trial, transfer, trade, transport and storage of new molecules and microbial strains of agro-biologicals, a draft of alternative regulations will […]

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STUDY OF INDIAN AND UKRAINIAN LEGAL FRAMEWORKS REGULATING BIOFERTILIZERS AND BIOCONTROL AGENTS IN REFERENCE TO CANADIAN MICROBIAL PRODUCTS

Unsustainable application of chemical fertilizers and pesticides has steadily declined food productivity the world over. Hence, agricultural practices need to evolve to sustainably meet the growing global demand for food without irreversibly damaging the world’s natural resources. Biofertilizers and biopesticides hold the potential to maintain agricultural productivity, while safeguarding agroecosystems and microclimates. While development/consumption of […]

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Process optimization for extraction of compounds from natural sources

The proposed research project aims to optimize the conditions for Carbon dioxide eXpanded Liquid Extraction (CXLE) which uses liquefied Carbon Dioxide (CO2) and ethanol as co-solvents for extraction of compounds from natural sources. Design alterations will be implemented to a Supercritical Fluid Extraction (SFE) unit at the partner organization (BioFoodTech) to perform CXLE and further […]

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