Détermination des facteurs limitants de la performance du triathlète

L’objectif de ce projet sera de mettre en place un protocole d’évaluation précis pour les triathlètes. Cette évaluation déterminera les points forts et les points à améliorer dans chacune des trois disciplines, c’est-à-dire en natation, en cyclisme et en course à pied. De cette façon, nous pourrons fournir les données nécessaires aux entraîneurs et aux […]

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MalChain: Run-time detection of malicious virtualized components in Service Function Chains using machine learning

Intern will develop new methodologies based on system level logs to detect malicious activities in virtualized environments. To achieve this goal, intern must review the state-of-the-art and proposes new solutions to overcome the shortcomings of currently existing methodologies and introduce new functionalities. The proposed solutions need to be validated and published based on experimental results. […]

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Tunable Fiber Laser Source based on Supercontinuum Generation

The objective of the project is to conceive and build a prototype of a tunable “white fiber laser” i.e. a broadband light source. As it is based on supercontinuum generation in a microstructured fiber, the source is expected to be compact and find applications in several domains, from fundamental studies to biomedical imaging and spectroscopy […]

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An investigation into the operation and operational benefits of a new converter technology for supercapacitor charging

Batteries are main storage systems in many applications such as electric vehicles, shipping, transportation, and utility backup power. With the recent breakthrough in the supercapacitor technology, it is predicted that supercapacitors will challenge the batteries in many of these applications since their power delivery is much faster than the batteries. The current chargers are designed […]

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A Conceptual Aerodynamic Design for a High-Lift Electric Hybrid Airship

Hybrid airships with vertical take-off and landing (VTOL) capability have the potential to drastically simply the commercial transportation system by picking up payload from the pick-up points and delivering it directly to the pre-set destinations. Development of new electric hybrid airship designs for the Canadian and global transport industry will lead to lower shipping costs, […]

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Regime Switch Analysis on Time-series Data for Financial Prediction

In recent years, the emergence of massive temporal data has become a reality in almost all aspects of social life, economic activity, security and defense, and poses a big challenge for existing methods. This project focuses on prediction from temporal data that arise ubiquitously in healthcare, social, industrial and financial fields. Events typically include changes […]

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Optimization of an MR TOF for Barium-tagging with nEXO

A multi-reflection time-of-flight mass spectrometer (MR TOF) has been fully designed, simulated, and optimized at McGill university. The MR TOF will be machined, assembled and commissioned throughout 2019. To facilitate this process, the student will travel to the RIKEN Nishina center and gain experience in operating and maintaining an existing MR TOF. This will provide […]

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Soutenir l’adoption de comportements favorisant l’efficacité énergétique des familles québécoises par l’approche ludique

Au Québec, le gouvernement s’est donné pour mandat d’agir sur l’efficacité énergétique et l’économie d’énergie dans les ménages afin de réduire l’impact environnemental lié la production d’électricité. Pour concrétiser cette orientation politique, un changement de comportements des consommateurs d’énergie est nécessaire. Dans le cas de l’électricité, ce changement représente toutefois un défi important puisqu’elle est […]

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Determining position, speed and stride length using machine learning with sensor fusion based on ultrawideband local positioning system technology

Sensors that track human movement are becoming more and more popular in all kinds of applications including healthcare, sport and general human movement. However, traditional sensors generally have problems tracking individuals indoors and they are not very accurate when measuring subtle movements. Using innovative technology, new wearable sensors have been developed to track human movement […]

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Pilot-scale preparation of phospholipid-free small unilamellar vesicle formulations with potential in treatment of hepatic diseases

Lipid-based nanoparticular drug formulations are a successful technique to enable targeted treatment. The Canadian company Precision Nanosystems Inc. (PNI) develops the innovative instrument family NanoAssemlr for lipid nanoparticle preparation based on microfluidics. These instruments are fast, easy-to-use and provide a high batch-to-batch reproducibility and quality. Recently, we developed a novel lipid nanoparticle formulation with the […]

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Graphics Processing Unit Solutions for Power Systems Computer Aided Design: Collaborative Exploration with the University of Winnipeg

Graphics Processing Units (GPUs) are usually employed to quickly render images on everyday computer screens, and do so quickly and efficiently for relatively little cost. Modern GPUs are able to do hundreds or thousands of simultaneous calculations; rewriting conventional computer problems in the language of GPUs offers the potential to dramatically decrease the computing time […]

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