The project objective is to understand and apply the metallurgical fundamentals for the heavy gauge steel product development. The major tasks can be divided into two groups: (A) the precipitate investigation through conventional and advanced characterization techniques such as transmission electron microscopy (TEM) and (B) the implementation of thermomechanical processing models for the rolling schedule […]

Transportation systems are evolving towards intelligent transportation systems and ISR Transit is a leading provider of these systems providing solutions in fleet management. In these systems, one of the enabling technologies is wireless sensor networks in which sensors are used to obtain information about the fleets. For example, sensors are deployed on motor, brake modules, […]

The future of aviation is (much) faster travel with (significantly) lower environmental impact (pollution, noise, etc.). In another couple of decades, hypersonic flight (5-10 times the speed of today’s aircraft) will be a serious contender. Tom Clancy prophesized having breakfast in Washington and be back in time for lunch after conducting business in Europe: that […]

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.

BRP is a global leader in the world of powersports vehicles, propulsion systems and boats. The company wants to develop electric motors for its future on- and off-road electric vehicles, thus reducing the greenhouse gas emissions of its products. Powersports electric vehicles require electric motors with high power, but low weight. This type of motors […]

Le projet consiste à développer des algorithmes permettant de créer des secteurs pour les clients de Fastercom. Afin d’y parvenir, différentes méthodes de Machine Learning seront évaluées et implémentées. Cette création de secteurs permettra d’améliorer la performance des algorithmes de la compagnie en découpant le gros problème d’optimisation de tournées de véhicules en petits problèmes […]

Le véhicule à conduite automatisée est l’un des systèmes les plus complexes existants à ce jour. Son développement entraîne la considération de nombreux paramètres touchant à bon nombre de secteurs et nécessite ainsi le développement et le renouvellement de différentes technologies du réseau routier telles que les infrastructures routières. L’impact de l’intégration de ces systèmes […]

Reinforcement learning (RL) is the problem of designing an agent that interacts with its environment and adaptively improves its long-term performance. Many complex real-world industrial decision-making problems can be formulated as an RL problem. RL is at the core of artificial intelligence and has the potential of having a huge impact on our economy and […]

The overall objective for this project is to support the research of one master’s student who will help advance the research related to the social discourse of sustainable transportation and climate policy in Canada. In this field, START, in the School of Resource and Environmental Management at SFU, is one of the leading research teams […]

Bicycling count data (exposure) are difficult to collect but are vital to understanding the safety of different routes. Crowdsourced exposure data collected through fitness apps such as Strava Metro can provide bicycling exposure data with better spatial and temporal coverage than manual or automatic counts. Efforts are underway in cities throughout Canada and the US […]

The proposed research work is aimed at developing trajectory data on a real-time basis. On successful completion of the project, a real-time image processing framework will be available for developing innumerable trajectory datasets over the study sections. These datasets can enormously boost current driving behavior studies and facilitate Connected Autonomous Vehicles (CAV) research. Along with […]

This research project between the University of Windsor and Pratt & Whitney Canada (P&WC) is focused on a porous composite material used by aircraft engine manufacturers in the design of fancases of turbofan engines. The objective of the project is two-fold and includes 1) experimentally investigating the behavior of the composite material at different loading […]