Luxury Transport – Business Operations Internship – Roopkaran

Luxury Transport is a private charter transportation company serving Whistler and Vancouver in transfers, shuttles and tours since 1998. We are a family-owned and operated company dedicated to our community of happy clients and to a mandate of safety, customer service, efficiency and experience. We are specializing in transfers from Vancouver to Whistler, Corporate shuttles, […]

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Improving predictive maintenance of marine vessels based on digital twin’s remote real-time monitoring system in the maritime 4.0 era

The master’s degree thesis will be on developing digital twin remote real-time monitoring systems to improve the predictive maintenance of in-service equipment on marine/offshore vessels. This will result in safer sailing because it will be possible to predict when and where failures occur, so that the appropriate corrective actions are initiated in time.

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Création d’un positioneur vertical autonome pour excavatrice

Les engins de chantier utilisés dans l’industrie de la construction, tels que les excavatrices, sont très coûteux d’utilisation et il est important de développer des aides électroniques permettant d’optimiser leur usage. Une façon efficace de le faire est de pouvoir suivre en temps réél le déplacement des parties fonctionnelles de l’engin afin de s’assurer en […]

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Ordonnancement des retraits d’équipements électriques de transport

L’ordonnancement des retraits d’équipements électriques de transport est un défi auquel de nombreuses compagnies oeuvrant dans le domaine de l’énergie doivent faire face. En effet, chaque équipement de transport (p.e., une ligne de transmission) s’use avec le temps et doit, durant son cycle de vie, être maintenu pour s’assurer de son bon fonctionnement. Une fois […]

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Quantitative Evaluation and Modeling of Action-Reaction Cycles in Interactive Human Driving Behaviors

This project aims to provide a framework to quantify the interactivity between human drivers in traffic, which could be used to design the decision-making policy for socially-compatible autonomous vehicles. Toward this end, we develop a conditional behavior prediction module based on Gaussian mixture models to jointly capture the dependency of one agent’s reactions on the […]

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SLAM with Reinforcement Learning to aid mapping in highly dynamic scenes

This project aims to develop a reinforcement learning agent with access to depth cameras to aid map building for SLAM. Research has shown dynamic environments, where the majority of frame is taken up by dynamic objects, along with low fidelity and lighting can lead to low robustness in practical application. We hope to use reinforcement […]

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Calibration of numerical model of the three-stage corrosion process of galvanized steel reinforcements in Mechanically Stabilized Earth

Bridge abutments are commonly built with a construction technology called Mechanically Stabilized Earth that provides structural soundness. The core element is a composite material that alternates layers of backfill soil with layers of galvanized steel reinforcements. Although the structural design has been well developed since its introduction in the construction practices, the degradation of the […]

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Blade Fragmentation modeling in hard-wall containment systems

According to the existing airworthiness standards, aircraft turbofan engine certification must demonstrate its ability to contain a fan blade should the blade accidentally separate under critical operating conditions. P&WC has established a full engine computational analysis process. In the continuing evolution of this modelling process, several areas requiring improvement have been identified as critical. One […]

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Route optimization tool for vessels in ice-covered waters complying with carbon intensity index regulatory constraint

Route planning plays an integral part of each voyage in maritime operations. The selected route must be optimized in terms of economic factors and safety concerns. It also has to adhere to national and international regulations. Recently, the International Maritime Organization introduced a new regulatory instrument to promote the decarbonization of the shipping industry. The […]

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Development of Mobile and Fixed Models of Hybrid Energy Charging Station for Marine Applications and Waterfront Infrastructures

This project aims to develop two microgrid models based on hybrid energy resources for supplying clean energy to marine applications and waterfront infrastructure. The proposed Hybrid Energy Station (HES) has two models of HES microgrid. The first is a mobile HES (MHES) for supplying offshore power for charging boats and ships and auxiliary services integrated […]

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Model predictive controller and monitoring systems for Marine Autonomous Surface Ships (MASS)

For marine autonomous surface ships (MASS), a more acceptable operation is ‘constrained autonomous operation’ where the ship operates fully autonomously. Most of the existing systems have strictly defined operational constraints or limited available decision spaces; therefore, autonomous decisions are only allowed for some predefined scenarios. However, marine environment is dynamic; the environmental disturbances (wind, wave, […]

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AI, IoT, and Cloud-Based Technologies to improve safety in the marine industry

With thousands of accidents annually, often resulting in hundreds of deaths and injuries, billions in economic losses, and devastating environmental pollution, the marine industry remains one of the most dangerous industries nationally and internationally. The work environment on ships is inherently risky and poses numerous challenges to the ship crew. Moreover, the nature of their […]

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