Adaptation du modèle d’affaires aux différentes turbulences externes

Ce projet vise à optimiser la rapidité de prise de décision dans les entreprises suite à un meilleur système de collecte et traitement de l’information lors de l’acquisition de données stratégiques via différentes veilles économiques (système de recherche d’informations stratégiques pour les décisions de l’entreprise). Par la suite cela permettra d’adapter plus rapidement la conception […]

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Analysis of factors impacting views and revenue of digital assets on YouTube

This research project will focus on factors increasing viewership and revenue on Boat Rocker Media’s digital assets on YouTube. Combination of datasets from various sources such as YouTube revenue reporting, YouTube data and analytics Application Program Interfaces (API’s), and social media will be used in an explanatory analysis and statistical modeling to get new insights. […]

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Storytelling the History of Cantonese Migration through Virtual Heritage

Since the 19th century, Chinese men and women have migrated to small towns and cities throughout places such as Southeast Asia, Australia, New Zealand and North America in search of better opportunities, bringing with them many traditional cultural practices, values and customs that evolved over time and space. How did early migrants retain cultural heritage […]

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Privacy Enhanced Decentralized Identity System

Currently, some public and private organizations have implemented various identification verification solutions to manage identity authentication. 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 their benefits as they can only be connected once in a federated identity ecosystem. While […]

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Identifying vehicle accidents and high risk drivers using Machine Learning

The primary objective of the project is to approach the problem of understanding true causality of vehicle accidents and scientifically determining which vehicles and drivers are at highest risk of an accident from a machine learning perspective. Geotab has a number of identified collisions in X, Y and Z planes, and much more. The research […]

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Automated Model Tuning for Retail

Artificial intelligence, especially Machine learning algorithms, plays important roles in building recommendation systems and promotional forecasting systems for retailers. However, training a machine learning model requires the choice of a number of significant features and requires tuning a large set of configurations. Therefore, it takes a long time for humans to find the optimal configuration […]

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Knowledge Intensive Processes Representation and Analysis: Process-Aware Work-Graphs and Predictive Approaches

Processes are important concepts in modern society since they control and standardize the interactions between businesses, consumers, governments and other organizations. However, the rise of knowledge-based industries such as financial services, healthcare, advanced manufacturing and software development have produced unstructured and knowledge-dependent processes. These Knowledge Intensive Processes (KIPs) KIPs range from partially structured to unstructured […]

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Voice Cloning Optimization

An artificial intelligence tool that is capable of generating natural-sounding speech can be embedded into many valuable services such as conversational agents for the disabled and conversational assistants. Such tool, when equipped with the capability of mimicking individuals’ vocal characteristics, will improve personalization of these services. In this project the intern will seek to develop […]

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Quantifying the Computation Power and Transaction Latency of Pool Mining in Cryptocurrency Networks

In this project, using such mainstream cryptocurrencies as BitCoin and Ethereum as representatives, the intern will analyze the transaction collection strategies of their mining pools, and then collect transactions and the corresponding blocks data to build a large dataset, from which the computing power of different mining pools and their proportions will be analyzed, together […]

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System-Level Performance Analysis of Shared Relaying Architecture withRealistic Channel Modeling

Future wireless networks call for seamless coverage and higher data rates at low infrastructure cost. Cooperative relaying strategies are among the most promising of future technological solutions toward achieving this goal. The proposed research project intends to evaluate the system-level performance of a specific relaying architecture called the shared relaying network. To quantify the benefit […]

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Model-Based Detection of Emergent Behavior in Distributed Systems usingan ontology-based approach

Lack of central control makes the design of distributed software systems a challenging task because of possible unwanted behavior at runtime, commonly known as emergent behavior. In fact many faults are introduced into the system at this stage of the software development life cycle. Therefore discovering and removing design validation of distributed software systems prior […]

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