AVIO 1603: Cosmic radiation In-flight Measurement and real-time analysis for Electronic Systems and passenger protection (CIMES)

Due to increasing miniaturization, future systems will be made of components that are more energy efficient and at the same time more sensitive to external radiation. To ensure that future systems remain protected against cosmic radiation and single events, aircraft and flight systems manufacturers must collect in-flight data for cosmic radiations and develop a global […]

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Using a Blockchain Cryptocurrency to enable an Educational Business Ecosystem

This project is to build the educational peer-to-peer infrastructure for young high schoolers or athletes to access services and goods from the experts in the respective field. For example, organizing or providing all the details for any sport’s session conducted by skilled instructor, and the system for instructor to be able to verify the session’s […]

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Evaluation of interventions for improving maternal, newborn, and child health outcomes: Systematic literature reviews and network meta-analyses

Poor nutrition, sanitation and hygiene, and infectious diseases during pregnancy and early childhood can lead to poor growth and development that can be everlasting negative effects on the child. A large number of clinical trials have been conducted, but as many interventions have not been compared against each other, it is unclear what interventions are […]

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Graphene-copper coatings for enhancing dropwise condensation

During this project, with the cooperation of Concordia University which has extensive knowledge in surface coatings and NanoXplore which produces Graphene, the intern will try to apply the graphene coatings on copper substrate in order to improve heat exchange in various applications. Graphene is a type of carbon material with outstanding properties. This novel material […]

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Perception of terrain characteristics in professional heli-ski guides

In the backcountry, the best powder skiing can be found in terrain that is susceptible to snow avalanches. Travelers are responsible for managing this threat by choosing terrain that will minimize this threat, and they must strike a balance between minimizing risk and finding an enjoyable skiing experience. Perception plays a fundamental role when selecting […]

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Georeferencing oblique imagery for vegetation analysis

To responsibly manage forest resources in southwestern Alberta, it is important to understand the disturbance regimes they have experienced in the past, are experiencing now, and are likely to experience in the future. The Mountain Legacy Project has several thousand repeat photographs which show areas of the mountains and foothills of the Rockies a century […]

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Development and characterization of nano-emulsification and liposomal platforms (NEP and LIP) for hemp oil nanoencapsulation and transmucosal delivery

A novel technology for delivery of biologically active compounds found in hemp oil is being developed. This novel technology significantly reduces the health risks associated with traditional administration of Cannabis products (e.g., smoking and THC-related intoxication) The proposed project, in collaboration with a federally-licensed facility for cannabinoid analysis, Abattis Bioceuticals, engages into the development of […]

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Machine learning methods for signal classification in anti-drone technology

Drone technology has recently gained wide-scale acceptance in multiple military and commercial applications, including security surveillance and medicine delivery. In 2017 alone, the market revenue from drones is estimated to be around $6 billion. With this, there is also an emerging need for sophisticated anti-drone technology to detect rogue drones entering secure territories, such as […]

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Vehicle Occupancy Detection using Thermal Camera and LIDAR

In this project, a vehicle occupancy detection system will be developed for automatic monitoring of HOV (High Occupancy Vehicle) and HOT (High Occupancy Toll) lanes. The system makes use of machine vision along with artificial intelligent algorithms, developed based on deep learning, to detect number of passengers in a vehicle in real-time. The developed technology […]

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Modelling the effects of industrial disturbance and predation risk on white-tailed deer (Odocoileus virginianus) seasonal habitat selection in the boreal forest of Alberta, Canada

My master’s project in partnership with InnoTech Alberta will be assessing potential effects of industrial activity from in-situ oil and gas extraction on carnivore and white-tailed deer populations in northeastern Alberta. Deer populations have been increasing for the past fifty years and two of the leading causes are attributed to climate change and human disturbance. […]

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TREATING INFLAMMATORY BOWEL DISEASES THROUGH BLOCKING P2Y6 RECEPTOR

Extracellular nucleotides can favour inflammatory diseases via the activation of P2 receptors. The proinflammatory P2Y6 is the dominant nucleotide receptor in human and murine intestinal epithelial cells (IEC) and its expression increases during inflammation. Interestingly, we found that the blockade of P2Y6 totally prevented inflammation in the murine DSS model. This project will show whether and […]

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