The proposed project aims to demonstrate the application of an analytical framework, developed by the team at the University of Toronto, to plan on-demand transit services in Mississauga. The analytical framework will be enhanced with an in-depth investigation of existing simulation tools with respect to their adequacy for modelling various ODT scenarios and operational designs. […]

Metal additive manufacturing (AM), or metal 3D printing, enables “unique structures printed for unique functions” and “the right materials printed in the right place”. Therefore, it is the preferred fabrication method for creating functionally graded materials (FGMs), whose material properties varies over its volume to meet industrial needs. In this project, I leverage external magnetic […]

Favorable propagation studies for massive MIMO systems: mMIMO is a key technology for 5G and beyond, due to its ability to deliver high spectral efficiency/rate in multi-user environments using simplified (linear) processing. Its advantages can be fully exploited under certain conditions known compactly as “favorable propagation” (FP). Unlike the known methods, which rely on sophisticated […]

Graphene and related materials remain the most promising electrode materials and additives for use in energy storage devices such as batteries and supercapacitors due to the potentially high surface area, high aspect ratio and electrical conductivity. Unfortunately, it remains challenging to achieve single layers of graphene using scalable methods of production. The proposed work aims […]

The energy demand of the residential sector in Canada represents 12% of the total energy use. About 64% of such demand is assigned to space heating requirements. Adoption of energy-efficient systems is usually driven by long-term savings. Many passive energy reduction measures haven’t been implemented due to the decreasing credibility of simulation software which lacks […]

Un défi scientifique et technologique contemporain majeur, contribuant à une réponse appropriée à l’ODD N°7 de l’ONU, consiste à impulser un changement de paradigme en passant des batteries lithium-ion (électrolyte liquide/gélifié) à des batteries dites tout-solides (électrolyte (inorganique, polymère) solide) plus sûres et performantes. Au-delà des accélérateurs de développements technologiques que constituent les domaines du […]

One of our research axes concerns the large-scale mechanical characterization of coarse granular materials (CGM). The prime objective of this collaboration is to enhance the database and develop scaling laws for testing CGM on representative small-scaled samples. This effort requires multiscale characterization on a wide range of coarse materials with different lithologies and particle shapes. […]

The research project aims to enhance the security and reliability of navigation systems by developing advanced techniques for estimating the vehicle’s position and orientation, even in the presence of sensor attacks. By investigating the impact of potential attacks on sensor data, the project seeks to develop algorithms that can accurately estimate the vehicle’s location and […]

To optimize the environmental and financial benefits of FOWTs coupled with electrochemical energy storage improved predictive modeling capabilities are needed. The partner organization, Angler Solutions Inc., is addressing this obstacle by developing a new modelling software approach that can provide accurate techno-economic assessments and predictions for FOWT with energy storage. The partnership proposed in this […]

This research is to develop a gallium nitride-based transistor used in high-power applications such as in electric vehicles and in solar power grids. Current gallium nitride transistors break down around 600-800 V. We propose to develop a technology that enable them to have more than 1200 V breakdown voltages. We also keep the balance between […]

Pipelines carry important resources like oil and gas across long distances. These pipelines sometimes cross areas with natural dangers like landslides which can stress or damage them. This study aims to create computer models to understand how pipelines react to these dangers using different approaches. Different types of pipelines and the ways they interact with […]

The research project is about teaching robots to build things on their own. We’re going to use artificial intelligence (AI) algorithms to make them understand how to put together things, like furniture, without needing lots of human help. We’ll make them practice in a simulation first, so they get really good at the assembly task. […]