Development of a “Jennic Wireless to Ethernet” Gateway Embedded System

The proposed R&D is a part of larger project currently developing by Unity Integration Corporation on intelligent lighting systems. This project is consisting of different parts such as wireless motion detectors, wireless ambient light sensors, control systems, predictive software and web-based user interface. The proposed R&D mostly focuses on the development of a gateways embedded […]

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Business Development Intern

I will be working with Krohmal Consulting. Krohmal Consulting is a boutique management consulting business offering professional services to public and private sector clients. The company is weathering the Covid19 storm and trying to capitalize on the opportunities by creating a Covid recovery consulting offering which would help the business ramp up while supporting local […]

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Marketing and Brand Strategy Intern

Mploy is a technology firm that provides mobile solutions for the hospitality industry to recruit workers faster, cheaper and easier than using traditional static job boards. In this project, the Intern is supposed to: Drive the launch of our new solution focused on COVID-19 contact-less recruiting – Set specific marketing goals that align with the […]

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Inclusion of Genetic Information to Better Inform Coffee Choices

Coffee is one of the world’s most popular beverages due to the delivery of caffeine and diverse flavours. The genetics of how caffeine is processed in the human body is fairly well understood. With the decrease in cost and increase in popularity of consumer genetics, we are interested in learning how modern genetic analysis techniques […]

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Anatomy Detection of Cats and Dogs using Localization

The proposed work is an application of artificial intelligence and medical imaging. When positioning a dog to have an X-ray image taken of its paw, a neural network trained in canine anatomy can be configured to inform radiologists if the patient’s paw is improperly placed or even drive motorized hardware to automatically center the patient’s […]

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Machine Learning Solutions for Detecting Suspicious and Abnormal User Access Roles and Entitlements

The latest cybersecurity incidents (e.g., Desjardinds, CapitalOne) have shown that the current cybersecurity solutions are not always effective in capturing and preventing attacks, especially when it comes to insider attacks that originate from within the targeted organization. In this project which will be conducted in collaboration with Xpertics, we aim to build a new solution […]

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Digital Transformation of Automotive Industry: Action Design Researchand Startup for Last Price Recommendation Engines

The Automotive Industry is one of the most mature and has undergone several waves of digital transformation. We focus on one segment of the value chain where IT adoption has not yet had the expected impact, namely dealer-prospect relationship management. While Customer Relationship Management (CRM) solutions and methods have been widely adopted, there remains several […]

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Large Scale Simulations of Photonic Quantum Computers

Current quantum computers are in the “NISQ”, or Noisy-Intermediate-Scale-Quantum regime. The true potential of quantum computing will only be realized when noise levels are reduced or controlled, and large scale is achieved. Xanadu’s approach is to use photonic technology as the building blocks of their machines. This project addresses two related questions concerning the future […]

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Named Entity Recognition (NER) autodetection and Adverse Events (AEs) prediction from Social Media and scientific journals using a Deep Learning approach

Social medias data bases are important for continuous and automated Adverse Drug Reactions (ADRs) surveillance. Predicting ADRs can reduce the related mortality. A systematic review of the medical scientific literature is required for tracking and identifying the risk/benefit ratio of drugs and safety issues. The implementation of means of standardizing patient’s language used in social […]

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