Surface engineered Iron oxide nanoparticles for biomedical applications

The proposed research aims to develop nanotechnology based on low-cost iron oxide for easy detection, targeting and separation of biomacromolecules from mixtures of proteins and nucleic acids. Iron oxide nanoparticles will be coated with polymers on the surface. The surface exposed chemical groups will be tuned through synthetic articulation of the polymers. The iron oxide […]

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Blockchain Financial and Risk Modeling with Tensor Decompositions and Deep Learning for Institutional Investors

Cryptocurrencies are a new asset class that are emerging in importance and adoption in global markets. Public blockchains such as Bitcoin and Ethereum offer access to an unprecedented amount of financial and technical data. With the increasing amount of blockchain data, it is important that investors and policy makers can access standardized methods of financial […]

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Machine learning approach to monitoring and decarbonizing mineral processes

In Canada’s 2030 Agenda for Sustainable Development, one of the goals is to take urgent action to combat climate change and its impacts. According to this agenda, the target is to reduce Canada’s total greenhouse gas (GHG) emissions by 30%. In order to transition to renewable energy, solar and wind power in combination with energy […]

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Revealing Trends in Quantum Technology with Natural Language Processing and Deep Learning Techniques

Recent years have witnessed a surge of interests in exploring emerging research directions of quantum technology, including quantum computing, quantum sensors, quantum cryptography, etc., and the number of scientific publications in the literature in this field has been growing steadily. However, due to the large volume of unstructured text data and the lack of automatic […]

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Autonomous Metro Rail Sensor Data Analytics for Anomaly Detection and Correlation Analysis with Environmental Variables

Anomaly Detection (AD) is a key research problem in the fast-evolving area of Intelligent Transportation Systems. To proactively detect faults, AD methods are applied to detect deviation from regular behavior, which can also be caused by environmental factors such as weather conditions, neighbouring trains, and track curvature. Thales Canada has unlabeled data from their Next-Generation […]

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Lake Kivu Degasification Reservoir Engineering Study

Lake Kivu is a unique lake with a significant amount of methane and CO2 dissolved in its deep layer. The presence of these greenhouse gases poses a potential danger of massive disaster. The extraction of methane is viewed as a possible and profitable solution as the reduction of methane will enhance the ability of the […]

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Spatial variation in the foraging and nutritional ecology of Arctic char (Salvelinus alpinus) in the Kivalliq region

This research project will examine the diets of two geographically separate populations of Arctic char in proximity to the communities of Rankin Inlet and Naujaat, Nunavut. Using methods of stomach content, stable isotope, and highly branched isoprenoid analysis, we will determine whether the diets differ between the two separate populations. In addition, we will explore […]

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Development of Streamlined Data Processing Pipeline for Untargeted Metabolomics

Metabolomics is the study of the complete set of small molecules in human body. It is a cutting-edge technology that empowers precision health and drug discovery. Liquid chromatography-mass spectrometry (LC-MS) system is the most sensitive analytical platform for metabolomics. However, computer programs are urgently needed to automatically process metabolomics data. This project will incorporate state-of-the-art […]

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Characterization of SQUID amplifiers for optical TES readout and exploring multiplexing approaches

While current work in quantum computing with near term noisy devices is promising, key applications will require a universal, error-corrected and fault tolerant quantum computer. Xanadu’s proposed architecture uses photon number resolving detectors in a modular way to create photonic qubits. The detectors are based on superconducting transition edge sensors (TES). Previously, TES has been […]

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Deep Breathe: Developing and integrating deep learning strategies to automate and augment the interpretation of lung ultrasound images

Project Deep Breathe seeks to develop computer vision solutions that will aid in the use of lung ultrasound technology to accurately and easily diagnose lung conditions anywhere these portable machines can be brought. This will be done using large amount of lung ultrasound data at Western University and by employing artificial intelligence students from the […]

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Developing a nanoparticle platform for cell-free protein engineering

This project aims at developing a nanoparticle-based technology that will allow us to engineer and screen proteins for catalytic activity in a cell-free environment. The proposed method will be faster and robust compared to conventional protein engineering techniques. This will be achieved by combining cell-free protein systems (CFPS) and magnetic nanoparticle (MNP) to make screening […]

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Investigating freshwater habitat conditions of Atlantic salmon (Salmo salar) and subsequent effects on growth, condition, and marine survival

The Atlantic Salmon (Salmo salar) is an iconic species for the people of Eastern Canada, holding extensive economic, cultural, and ecological value to Canadian people and First Nations communities. As Atlantic salmon occupy freshwater streams during their juvenile life stages, the condition of this habitat can greatly impact their development and survival. These linkages however […]

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