Examining Media for Fraud Detection

Nowadays a corporation’s public image plays a major role in that company’s decisions and financials. This project involves predicting fraud and errors within the financial statements of publicly traded companies. The goal is to incorporate information such as press releases and industry media coverages to provide an insight to these companies under audit and their […]

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Categorisation des charges de proiet: outil d’aide a la decision

quebecoise de genie-conseil et de gestion de projet, qui exerce dans cinq secteurs que sont I’energie, !’industrie, les transports, les infrastructures et Ie batiment. L’objet de cette etude est de mettre a la disposition de la haute direction de cette organisation, un outil qui lui permette d’affecter ses competences internes aux differents projets que realise […]

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Evaluating effects of local, landscape, and regional factors on Bobolink (Dolichonyx oryzivorus) nest survival

The bobolink (Dolichonyx oryzivorus) is a migratory songbird that is currently a species at risk in Canada due to steep population declines. Because bobolink nest on the ground in pastures, hayfields, and other grassland-type habitats, nest success and abundance may be influenced by various environmental factors. Our goal is to understand whether these factors directly […]

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Augmented Guidance Navigation and Control for Unmanned Aerial Vehicles

Sense and Avoid is a capability that is required by Unmanned Aerial Vehicles (UAV) to ensure that they do not enter into collision with other manned and unmanned aircraft. Obstacle avoidance of stationary objects is an important first step toward building Sense and Avoid systems. For stationary objects, after the object has been detected and […]

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Early detection of Alzheimer’s disease symptoms using speech longitudinally

An early symptom of Alzheimer’s Disease is difficulty in remembering recent events. These trends are reflected in problems in language and patterns of speech. Speech patterns of an individual can hence be used to determine the trajectories of preclinical cognitive decline. The difference in the cognitive trends over subject groups, analyzed using speech data collected […]

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Operating Room Traffic Assessment: A Video Analysis Approach

Surgical Safety Technology aims to improve operating room safety by capturing and analyzing operation videos. Usually, operating room traffic (like people displacement) has a huge impact on surgery. Unnecessary movements can cause distraction of surgeons and pollution of the sterile environment. This project applies computer vision models to detect and track people movements in the […]

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Visualization of gene structures, phylogenetic trees, and RNA structures

Bioinformatics is at the intersection of computer science, mathematics and biology. With the advent of new technologies, more and more genomic data is being generated. A common task for analysing such data is to visualize it in an interactive way that highlights the results of computational analyses. In the past 5 years, Web browsers have […]

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Hand Hygiene Tracking Prototype Development

SafeContact is a Hospital Acquired Infection (HAI) prevention and reduction Platform-as-a-Service (PaaS) company. We are tackling the global HAI epidemic by tracking the source of HAI spread using a unique technological concept in the marketplace. SafeContact is building a smart healthcare platform that combines traditional techniques with the latest advancements in technology: Computer Vision, Artificial […]

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Sex: It’s a matter of the heart

Heart failure is a complex cardiovascular disease with increasing global burden while the prognosis for patients remains poor. Risk factors and the type of heart failure differ between men and women. These differences can be due to sex – referring to biological differences – or gender – referring to social differences. In our project we […]

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Cognitive Risk Sensing Using Deep Learning

CRISP is an international Deloitte development initiative aimed at helping some of our largest clients understand and managed corporate risk. CRiSP stands for “Cognitive Risk Sensing”, and it centers around using large sources of mostly unstructured data (i.e. 10% sample of all of Twitter, thousands of news aggregators, etc.) to understand and forecast risk for […]

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Development of a Bidding simulation environment

Addictive Tech Corp is a fast-growing ad-tech company. They use real-time advertisement bidding software which is massive and sophisticated. The actual dynamics involved in any given bid are complex and hard to predict. This makes writing test logic for such a system cumbersome and catching all corner cases next to impossible. Because of the scale […]

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