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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

Dans un contexte de changement et d’évolution rapide des technologies, se pose la question de l’apprentissage tout au long de la vie et du développement des compétences numériques chez les jeunes en situation de vulnérabilité. C’est pourquoi les jeunes, filles et garçons, issus de la diversité (culturelle, économique, sociale, etc.), ont des défis à relever […]

Today’s data-center network services cover a broad spectrum that evolve rapidly which means that regularly new services need to be deployed in production networks in a timely manner. Using network programmability, a network programmer can write a precise specification of what the network behaviour should be, and this specification is translated by a compiler and […]

Buildings represent up to 40% of primary energy consumption. To optimize that energy cost vs. the comfort of its occupants, Facility Management (FM) relies on data from sensors, and on automation, to increase efficiency. The majority of existing buildings however have limited automation, so it is up to Facility Managers to interpret and act upon […]

Mental health issues affect a large percentage of the military population. The HERE4U Military Version will be an instant messaging smartphone application to connect military family members (adults only) who are dealing with mental health problems to a mental health counseling solution that uses the IBM Watson cognitive platform. Being able to engage with Watson […]

This collaborative project with Rimeware will investigate out-of-band measurement approaches that can passively monitor the network traffic and provide rich detailed network information, e.g., latency, loss, route path, etc. The goal is to build a programmable system for accurate, generic, and robust network measurement. It includes two sub projects. In the first sub-project, we will […]