DREAMLAND; Mobile

Le projet DREAMLAND; Mobile a pour objectif d’améliorer considérablement la qualité des soins hospitaliers promulgués aux grands brûlés lors des séances d’hydrothérapie et transformer une expérience hospitalière à priori négative, voir traumatisante, en une expérience ludique et positive, tant pour l’enfant que pour la famille qui l’accompagne. Dans le cadre des MITACS, les stagiaires travaillerons […]

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Locator/IP Separation Protocol for BCNET Services

Fundamental limitations of the current Internet architecture hinder the growth rate of the Intemet. The LocatorllD Separation protocol enables the Intemet to grow beyond the current limils and to gain the very much sought after scalability. This project offers the opportunity for BCNET and the educational and research institutes supported by BCNET to connect to […]

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A real time high performance approach to volumetric light transport

Our research consists of developing novel techniques to further improve the rendering time and quality of volumetric light transport, in special the effect of multiple scattering on path tracing. Our proposal is to explore the human perceptual system to speed up the computation using a visual perception metric. To determine which parameters are feasible of […]

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Project Yellow Cricket: Fantasy hockey data analysis and pattern recognition

Officepools.com is a flagship product of GSL Group, acquired in 1999. The site is an online fantasy sports platform offering various sporting and entertainment events to choose from, such as football and golf, but primarily specializing in the National Hockey League (NHL). Officepools.com has a userbase of around six hundred and fifty thousand people, with […]

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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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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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Improving Q-RT-PCR screening for COVID-19 by tracking viral variants

This project will extend on our labs initial findings that current q-RT-PCR based screening strategies for COVID-19 patients can fall within variant regions of the SARS-CoV2 viral sequence and may potentially lead to false negative results. This project, in collaboration with BioXplor will lead to the development of online bioinformatics tool that will allow tracking […]

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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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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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