Mobile Transaction Initialization, Authentication and Cooperation

The intern and organizational partner are looking for unique and interesting ways of using mobile devices to help authenticate users and methods of cooperation between a mobile device and another device, a PC for example. The intern will research and implement different authentication techniques on mobile devices. Additionally, it is prudent to study and develop […]

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Securitized Tokens as a Service (STaaS)

This research study aims to investigate the potential and performance of a novel Securitized Tokens as a Service platform. Blockchain is the distributed ledger of verified transactions, and smart contract is the programmable part of the blockchain which can automate more complex transactions. We can define the tokens on top of the blockchain platform; and […]

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Analysis and optimisation of a sensor network for the remote detection of physiological parameters

Measurement of physiological parameters is the cornerstone of medical diagnosis. The rising costs of healthcare and the aging of the population are factors that influence researches in the medical industry, mainly for the development of assisted living and smart home. Several technologies have been proposed in the literature for monitoring people and health care. Recently, […]

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Outils d’aide à la décision pour la planification et la prestation des soins et des services à domicile

Dans ce projet, nous proposons le de?veloppement d’outils d’aide a? la de?cision novateurs pour ame?liorer la prestation des soins et des services a? domicile. Le projet est articule? autour de deux principaux sujets de recherche : A) le de?veloppement d’approches d’optimisation pour la gestion de l’offre (les soignants) et de la demande (les patients); et […]

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Legitimating the Initial Coin Offering: A multidisciplinary study

Initial Coin Offerings (ICOs) are a revolutionary new way of funding entrepreneurial ventures, which work by issuing digital tokens on an indelible distributed ledger. ICOs have the potential to fundamentally transform the finance sector, although they are still a highly nascent innovation, and there are still significant hurdles to their widespread proliferation. iComplyICO is a […]

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Classification of human activities and detection of behavioral anomalies using thermopile sensor and machine learning

Impending increase in senior population in developed countries is expected to overwhelm the health care system carry a significant social and economic cost. Number of solutions, that leverage ambient intelligence, have been proposed to help aging in place. HomeEXCEPT is working on a non-intrusive solution using a temperature sensor. The research will help in identification […]

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LAFORCE: Log Analytics For Operational Intelligence

The goal of this project is to explore the use of log analytics and machine/deep learning techniques to improve Ubisoft operational intelligence. Logs contain a wealth of information, but often hindered by the lack of best practices, tools, and processes. Despite the importance of logging, the area has not evolved much over the years. At […]

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Caractérisation des communautés de joueurs pour le jeu vidéo Dead by Daylight

À la sortie d’un jeu vidéo en ligne, une communauté s’organise autour du jeu, créant une culture, des pratiques de jeu, des attentes et des formes d’appropriation qui peuvent diverger des intentions initiales du développeur du jeu, mais qui, pourtant, ont des effets majeurs sur le succès ou non d’un jeu. L’objectif principal de ce […]

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Centre for Operations Excellence Summer Internship Cluster 2011

The Summer Internship Cluster project organized through the Centre for Operations Excellence at UBC is a cluster of nine Operations Research sub-projects done for a number of different clients. These projects form the centerpiece of the Master of Management in Operations Research at UBC and are the key link in the three part mission of […]

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Applied machine learning for health insurance fraud detection

Research and develop a machine learning application to detect fraud in health insurance claims. The project will seek to understand how machine learning can contribute significantly to health insurance fraud detection, and develop a methodology to yield the best results using available data and current machine learning best practices. The output of the project will […]

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Machine learning methods for signal classification in anti-drone technology

Drone technology has recently gained wide-scale acceptance in multiple military and commercial applications, including security surveillance and medicine delivery. In 2017 alone, the market revenue from drones is estimated to be around $6 billion. With this, there is also an emerging need for sophisticated anti-drone technology to detect rogue drones entering secure territories, such as […]

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