Just-In-Time Scaling of Cloud Based Video Games using Machine Learning

Ubisoft’s cloud-based video game ecosystems experience the workload up to 5+ millions players in a typical week. Workloads on game servers are of different scales, ranging from tens of clients per game server to thousands of clients for traditional workloads. To guarantee game player user experience, a pool of servers is launched to react to […]

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Data Science in Pilot Performance Assessment

Automatically assessing a pilot performance during a flight training session is a capability that can enhance the flight instructor during his duty. From data gathered during a flight maneuver, we are looking for a way to automatically assess pilot performance to augment instructor performance and provide objectivity during flight training assessment.

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Automating Configuration and Performance Management of Data Centers – Year two

Data centers (DCs) in network softwarization and 5G eras are significantly different from those operated nowadays by public cloud providers. They are massively distributed, closer to end-users, heterogeneous (e.g., multi-access edge, central office as a data center, etc.) and rely on much more complex technologies (e.g., Network Functions Virtualization [NFV] and Software-Defined Networking [SDN]). This […]

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Promoting Water Stewardship Through Citizen Science with Water Rangers

Water Rangers uses citizen science to acquire baseline data for water bodies across Canada by giving and selling testkits to volunteers across Canada. This project will explore who is most likely to take part in water testing, what engagement strategies reduce dropout rates, and how testing water increase environmental concern by changing values and people’s […]

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Graph-based learning and inference: models and algorithms

Learning from relational data is crucial for modeling the processes found in many application domains ranging from computational biology to social networks. In this project, we propose to work on developing modeling techniques that combine the advantages of the approaches found in two fields of study: Machine Learning (through graph neural networks) and Statistical Learning […]

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Developing high-capacity composite adsorbents for gold mill processes

Gold is the most economically important mined mineral in Canada, with a production value of $8.7 billion in 2017. Quebec and Ontario together accounted for more than 75% of the mined gold production in Canada in 2017. Economic, efficient, yet safe and environmentally responsible gold extraction is vital to Canada’s dynamic economy and environment, as […]

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Optimization of Bioink Composition for Efficient Mesenchymal Stromal Cell Chondrogenic Differentiation in an Animal Component-Free Culture

Culture of cells in three-dimension (30) allows cells to interact with their surrounding and grow in all directions and behave in a manner that is more closely associated to how they would in vivo as long as their nutrient and environmental requirements are maintained. In this context, bioprinting offers an advantage over 20 cell cultures […]

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Optical Fiber Communications Systems

Optical fiber communications systems are used throughout the global communications network to transmit information over distances ranging from several kilometers to thousands of kilometers. This infrastructure is the backbone of the Internet that is used on a daily basis worldwide. Applications driving demand for increased capacity include (i) video streaming services, (ii) cloud based storage […]

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Increasing winter wheat selection efficiency via genomic selection

Winter wheat is crop that is growing in popularity in Quebec, as it produces more grain per hectare than spring-planted wheat and has many positive effects on soil health. However, many of the varieties used by farmers are not actually bred for this region, and are often maladapted to the local environment. The Center for […]

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Adapting Human Performance Techniques, Illusion Aesthetics, and Specialized Apparatus from the World of Stage Conjuring to Contemporary Circus Disciplines – Year two

The vast majority of performance techniques, illusion aesthetics, and specialized apparatuses used by stage conjurors are still unknown and remain unexplored by the circus world. The tacit knowledge that magicians exchange amongst themselves is rarely transferred to members outside of their subculture, which leads to creative stagnation in their communities and beyond. The purpose of […]

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Classifying Innovation Management Forms Using Ontology Reasoning

In this project, the goal is first to design a domain ontology that models the innovation management forms semantically. At this step, the ontology contains domain-specific background knowledge, which is expressed using terminological statements. Then every completed form and the value of its fields are asserted as instances of different concepts of the ontology. Afterwards, […]

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