Powder Functionality in Laser Powder-Bed Fusion of Ti-6Al-4V

This project aims at studying the powder characteristics in the laser powder-bed fusion of Ti-6Al-4V. As an additive manufacturing technique, the laser powder-bed fusion process produces metal objects layer-by-layer using a laser source. Ti-6Al-4V is being used in the aerospace industry because it offers high strength-to-weight ratio and outstanding corrosion resistance. This collaborative work between […]

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Journalism Product Innovation and Audience Engagement at The Conversation Canada

The Conversation Canada (TCC) is an independent news startup that specializes in short-form, evidence-based explanatory journalism written by experts in universities and curated by professional journalists. TCC is supported by a consortium of universities, agencies, and governments. News articles are freely available online and may be republished at no cost under a Creative Commons license. […]

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Applications of Quantum Monte Carlo Sampling

In today’s quantum computing environment, access to all major hardware providers is entirely cloud-based. As a result, large enterprises and other privacy-sensitive users are limited in their ability to experiment with quantum computers. Many have simply chosen to forego experimentation with quantum computers altogether. A careful application of recent research is vital to address this […]

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Photodynamic Therapy for Annihilating COVID-19 Virus

There is a paramount need to treat symptoms, find cures, and reduce/contain the virus’s continuous spread due to the global pandemic caused by the novel Coronavirus (COVID-19). The most life-threatening symptoms of COVID-19 result in severe respiratory failure due to pneumonia complications. While antiviral treatments and vaccines are under development globally, patients in critical condition […]

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Learning to Rank through User Interest Mining: Towards Search Personalization

In online shopping, search results often have inherent ambiguity. Two customers using the same term as search query might have completely different expectations of the displayed results. For example, when the users type in the query “headphone”, some of them might expect over-ear headphone with passive noise isolation, while others might expect in-ear headphone with […]

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Spoken Language Identification for Children

While taking foreign language tests, people may respond in languages other than the expected one. Typical scoring systems are trained only on the expected language, so unexpected language responses can have unusual results in speech recognition and scoring. Pearson would like to develop a more robust system for the automated speech recognition machine to know […]

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SOTI SNAP Blockly – Building Apps Without Programming

SOTI SNAP is an application development platform that allows users to create applications with little or no programming knowledge. By utilizing a block-based approach, users can drag and drop blocks and pre-made widgets and connect together to create applications in minutes. Apps made using SOTI SNAP can run on both Android- and iOS-based devices. The […]

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Design and Development of COVID-19 Automated UV Object Disinfection Cabinet

Highly infectious COVID-19 has had widespread effects on Canadian and global health, security, and economy. While vaccines play a key role in preventing viral diseases, various measures should be taken to slow their spread. Among preventative measures, disinfection systems are of paramount importance to battle COVID-19. The objective of this project is to design and […]

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SOTI SNAP SDK For creating third-party widget

This project dedicates to leverage the use of SOTI snap app to a greater community by providing more flexibility for third-party users and reducing required prior programming knowledge. To do this, we will focus on building a Software Development Kit (SDK) so that third parties can create and publish new widgets allowing SNAP apps to […]

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Hand Pose Reconstruction with Advanced Sensor And Deep Learning

This project explores 3D pose hand reconstruction using machine learning models with sensor data from innovative input devices. The goal is to propose an approach that provides real-time high fidelity hand reconstruction and understand how users perceive its quality to improve user experience and social interaction in AR/VR. The proposed methodology is to train a […]

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