Cognitive Assessments in Virtual Reality

Standard cognitive assessments are normally administered over pen-and-paper or desktop computers. Although these tests are accessible, they are often administered by a trained professional to ensure protocol adherence, and shorter tasks are often repeated many times to mitigate the impact of anomalous trials. These considerations render the current practices costly and time-consuming. For this proposal, […]

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Indoor Localization

My project is related to machine learning and robotics. A brief description of my project is the following: a robot comes into a room and takes snapshots of this room. Then the algorithm will make different digital representations of the room and store them in the database. After that, the robot can make photos of […]

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Development of Remote Monitoring System

TROES Corp. is a Canadian-based, advanced battery energy storage company, specializing in smart distributed energy storage solutions. Based on the LiFePO4 technology, TROES develops, designs, manufactures and delivers high-performance, rigorously tested, innovative, AI-based IoT and cloud-based energy storage systems. The systems are integrated with TROES’ proprietary battery modules, Battery Management Systems (BMS), Enclosures and Power […]

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Flow: A live captioning system for dysarthric speech

In recent years, video conferencing has become a popular communication channel. However, for people with Parkinson’s disease, speech problems like stutters, gaps, and ticks can quickly derail a conversation and render video communication services unusable. Live captioning can be very helpful, but only if the captions have sufficient quality. To facilitate communication, we propose to […]

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22CAN Inc

22CAN Inc is an AI-enabled Canadian recruiting start-up where we leverage our DigitalTwin recommender platform that match similar (“twin” concept) knowledge professionals to opportunities. Our project focus is: NLP Algorithm Experimentation. This is where we will advance the 22CAN NLP platform through advanced algorithm experimentation.

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Machine learning for modelling and control of direct air capture systems

The placement project will investigate the use of machine learning for modelling and control of an offshore wind powered direct air capture (DAC) system. DAC remove carbon dioxide (CO2) from the atmosphere which is injected into deep-sea reservoirs and are a key negative emission technology, which are becoming increasingly vital as a climate change mitigation […]

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Alfred Technologies : Plongements vinicoles

Alfred Technologies propose une solution de gestion de cave à vin et de sommellerie en agrégeant différentes informations sur les multiples produits de la viticulture. Ainsi, pour permettre une meilleure recommandation des produits, ce stage vise à appliquer des techniques de traitement automatique de la langue naturelle afin de tirer profit des données sur la […]

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Machine Learning Synergy

Aim: Learn and observe the scope of research activities at BMC within Youth Mental Health Technology team and contribute when possible at the University of Sydney. Participate in collaborative research activities related to Project Synergy between the University of British Columbia and The University of Sydney. This research aims to assist in the creation of […]

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SLAM with Reinforcement Learning to aid mapping in highly dynamic scenes

This project aims to develop a reinforcement learning agent with access to depth cameras to aid map building for SLAM. Research has shown dynamic environments, where the majority of frame is taken up by dynamic objects, along with low fidelity and lighting can lead to low robustness in practical application. We hope to use reinforcement […]

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Visualizing privacy analysis results

Health data usage is regulated by health data regulation, such as PHIPA (https://en.wikipedia.org/wiki/PHIPA). To support the increasing demand in healthcare, systems utilizing digital storage and processing personal data has become essential, e.g. hospital data management systems. However, these systems are often complex and prone to data theft, misuse, and other data privacy concerns. Therefore, satisfying […]

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