This research aims to identify, develop and evaluate software tools that increase usability of I-CubeX sensor instrumentation for research and application in both interactive media as well as behavioural science. The complexity that impeded usability concerns various aspects: sensor and interface management (location, state, etc.), sensor and actuator transmission protocols (analog, digital, etc.), sensor signal […]

This proposal is to accelerate the Aereus Technologies’ development of antimicrobial coatings. Antimicrobial coating has been becoming an effective solution to battle the hospital-acquired infections. Aereus Technologies is developing an antimicrobial coating consisting of marine paint and biocidal copper-alloy based microparticles. One of the key concerns for this new coating is that the microparticles are […]

For a software application to be released, it may need a number of standard certifications, which should be issued from different associations and for a wide range of software features (e.g., security, perfor-mance, scalability). We call these associations trusted third parties. The main problem with these trust-ed third parties is that they are single points […]

Using mathematical models we draw verifiable conclusions from a rental-fleet dataset. These conclusions help rental-fleet operators increase revenue, decrease cost, or improve other aspects of their business. We not only identify what models to build, but also implement them using rental-fleet data. Some example questions that we help rental-fleet operations answer are: 1) what warranties […]

This project aims to address the race bias of face recognition technology by developing new face feature sets and building the suggested models based on an equal number of images from varied-race photos using appropriate deep learning algorithms. This research seeks to deliver industry partner IRIS with guidelines for a developed prototype that facilitates the […]

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 […]

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. […]

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 […]

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 […]

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, […]

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 […]

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 […]