Privacy Enhanced Decentralized Identity System

Currently, a number of public and private organizations have implemented various identity management solutions to manage authentication; authorization privileges of their users within or across system and enterprise boundaries. The idea of using a third party identity provider (IdP) to access a relying party (RP) is not new, and both RP and IdP have much […]

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Impacts of the Privacy and User Experience requirements on the implementation of the Identity Networks based on distributed Hashtrees

Nowadays, a number of public and private organizations have implemented various identity management solutions to manage authentication; authorization privileges of their users within or across system and enterprise boundaries. The idea of using a third party identity provider (IdP) to access a relying party (RP) is not new, and both RP and IdP have much […]

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Applying Machine Learning Techniques to the Identification and Correction of Anomalies in Transaction Sale Data

SAP provides software infrastructure and tools to help companies, big and small, realize their business. SAP Labs Montreal, focuses on supporting the consumer products industry. It provides these industries with the software infrastructure that allows its customers to run end-to-end processes including the capturing and analysis of sales transactions. Sales transactions include for example purchases […]

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The “CARE” (Clinical Analytics for Real-World Evidence) Platform

The healthcare industry is shifting from randomized controlled trials (RCTs) care to real world data (RWD) to understand how well an intervention performs in clinical practice. The best source of RWD is source data – that is, data that are collected at the interface of the patient and the health care system. The University of […]

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Intelligent Camera Switching

The “Intelligent Camera Switching” research project’s goal is to understand how multiple cameras can be utilized in a meeting space to ensure that remote participants have the best view of the people and activities that take place in the room. This “Best view” should be thought of as providing the best context for activities. A […]

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Using Analytics for the Optimization of Product Support Data

Enterprise Resource Planning (ERP) systems are used to store data records of activities underlying various business processes, from which Key Performance Indicators (KPI) are derived, providing visibility into the organization. How well the recorded information adheres to business processes and how well those are defined and implemented affect data quality, determining how KPIs accurately portray […]

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Learning robotic grasping for e-commerce sortation

We are conducting research on using techniques from Artificial Intelligence (specifically Machine Learning, Reinforcement learning, and computer vision) to automate the ability of a robotic arm equipped with a hand-like gripper to pick a wide variety of items. The robot uses the visual scene, provided through cameras, in order to choose which item to pick, […]

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Labeling a user’s speech in real-time for always-on VoIP

TurnMeUp is an iOS app for always-on voice communications. Users leave the app running in the background and can talk to the recipient (also using the app) at any time. This app is especially useful for coworkers listening to their own music in the background without needing to enter and exit voice call sessions manually. […]

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Comparative Analysis on Various Blockchain Technologies and How Can They Transform the Financial Services for Scotiabank

Blockchain is an emerging technology that has the potential to change the way financial participants transact with each other. It enables direct transfer of value and financial assets between participants over networks without the need for a central authority (internet of value). It does this by combining the functionality of different technologies – distributed systems, […]

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Generative Models for Financial Time-Series Predictions

The intern will work on applying new advances from the field of Machine Learning to models which make predictions about time-series data. The models have the desirable property modeling the distribution of outcomes in a way that we can sample from, allowing us to account for uncertainty in the model’s predictions. By making more accurate […]

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Automated Detection and Classification of Adverse Events in Surgery

During surgeries, it is important to keep track of what is happening with the patient, the steps being taken during the surgery by the operating staff, and unforeseen events that occur. All the previous correspond to the surgical workflow. Keeping track of the workflow is essential to achieving a better and safer surgery. In the […]

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