Move IT YVR Inc. – Operational Workflow Innovation & Performance Intelligence Enhancement

MOVE IT. YVR is a premium relocation company specializing in high-touch, white-glove moving services for luxury residential clients, developers, and corporate partners. As the organization continues to grow rapidly, its core operational challenge is the need to transition from a traditional, labour-intensive service workflow to a more data-enabled, systematized, and scalable operations model. The company […]

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Luxury Transport Inc. – Operational Efficiency and Supply Chain Innovation Initiative

Luxury Transport Inc. is a leading provider of shuttle, charter, and private transportation services that connects passengers across the Lower Mainland and to Whistler. With a growing customer base, a diverse fleet, and variable seasonal demand, the company faces the challenge of maintaining high service reliability while controlling operational costs and ensuring efficient fleet utilization. […]

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Adaptive Digital Twin for Optimizing Repositioning, Routing, and Matching in Private Floating Fleets

Private charter fleets are valuable mobile assets that, when efficiently managed, can generate substantial revenue for operators and owners. A key factor in maximizing profitability is achieving a high asset utilization rate. We propose the development of a large-scale adaptive digital twin for supporting private floating fleet repositioning, routing and matching decisions. The digital twin […]

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Scheduled Tandem Parking to Relieve Parking Demand at Commuter Organizations

This project develops and validates a tandem parking simulation and operating framework for large commuter organizations such as hospitals, universities, and municipal complexes facing persistent parking shortages. Conducted in partnership with pointA, a non-profit supporting sustainable commuter programs, the study explores how assigning two vehicles to a shared stall can safely and reliably increase effective […]

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Automatisation intelligente de la production de croquis de localisation pour les infrastructures gazières à partir de données historiques et d’annotations assistées par l’IA

Énergir est une entreprise québécoise spécialisée dans la distribution d’énergie, principalement du gaz naturel. Elle développe également des solutions en énergies renouvelables comme le biométhane, l’électricité et le solaire. Engagée vers la carboneutralité, elle accompagne ses clients dans la transition énergétique. Énergir reçoit environ 50 000 demandes de localisation par année via le système Info […]

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Analyzing and Detecting Runway Incursions Using High-Resolution ADS-B and Incident Databases

This study focuses on enhancing aviation safety by detecting and analyzing runway incursions—unauthorized entries of aircraft, vehicles, or personnel onto active runways—using high-resolution ADS-B data from Flightradar24 (FR24). Despite existing protocols, such incursions remain a significant threat to air traffic operations. The project aims to develop and validate algorithms capable of identifying critical events, such […]

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Topology and design optimization of airframe structures for acoustics and structural performance – Part 1

The proposed project outlines a collaboration between researchers at Queen’s University and engineers at Bombardier Inc. In this collaboration, researchers would develop new computational tools and methods for designing quiet aircraft with considerations for the total weight of the aircraft. The proposed Mitacs internships will strengthen collaboration efforts between Queen’s and Bombardier and facilitate use […]

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A Scalable Nitrous Oxide (N2O) Emissions Predictor Utilizing Fuzzy Logic and Impulse Response Measurements

Nitrous oxide (N2O) is a powerful greenhouse gas with a global warming potential 298 times that of CO2, significantly contributing to climate change through agricultural activities, particularly the application of fertilizers. Accurate and scalable prediction of N2O emissions is essential for sustainable agriculture and climate mitigation. Current methods, such as LSTM-DLM neural networks proposed in […]

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Airmarket-iART Safety Assessment

Transport Canada is the regulatory agency in Canada that oversees the certification of RPAS (Remotely piloted aircraft systems) and has presented a roadmap for RPAS manufacturers to demonstrate the evidence that a given platform can meet safety objectives. The project will be completed by the iART alliance and aims to develop the technical evidence required […]

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Automated Runway Occupancy Time Computation Using Multi-Camera Computer Vision Tracking

This project will train the intern in using artificial intelligence (AI) and computer vision to improve aircraft tracking in airports. Specifically, the intern will work on automating the measurement of the Runway Occupancy Time (ROT) in aircraft, reducing the need for manual tracking and increasing accuracy. The project involves designing a multi-camera system to track […]

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Optimizing modeling processes though building a AI Digital Twins

Toronto Pearson Airport (operated under the Greater Toronto Airport Authority – GTAA) is Canada’s largest airport in terms of total passenger traffic and North America’s second largest in terms of international traffic. With daily non-stop flights to many of the world’s economies, we move people and goods across the country, the continent and around the […]

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Réduction de l’Empreinte Acoustique des Rotors carénés (REAR)

L’exposition au bruit ambiant en milieu urbain a des effets néfastes sur la santé et le bien-être des populations selon l’Organisation Mondiale de la Santé. Parmi les sources de bruits, ceux engendrés par les aéronefs figurent souvent en tête de liste dans les grandes métropoles. Dans cette optique, Bell Textron Canada Limitée (fabricant d’hélicoptères) en […]

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