Aimed at maximizing the antenna signal of the satellite communication (Satcom) terminal in a satellite system, positioning and tracking methods based on AI are studied in this project. This proposal focuses on the issue of a satellite’s pointing and tracking for a stationary Satcom terminal. The detailed methods includes the following four functional components: 1) […]

This Mitacs cluster project will involve the research, development and deployment of a multi-sensor navigation system that will be used for portable applications, such as dismounted soldier navigation, urban surveying and mobile phone localization. Multi-sensors are needed to provide positioning and orientation information when wireless signals are blocked or inaccurate. The project will focus on […]

The cost and size of many imaging systems used in biomedical applications largely limit the possibility for long-term and imaging sessions in pre-clinical and clinical diagnosis. There is a need for low-cost imaging systems to map brain activity. Dr. Levi’s team has developed a unique miniature laser-based illumination system that enables novel optical imaging of […]

Modern power systems wherein renewable energy sources are prevalent will exhibit larger frequency deviations than conventional power systems due to the diluted share of conventional generation based upon large electric machines with massive spinning rotors. To combat this, power-electronic converters that are used to interface renewable sources need to provide ancillary, such as frequency support […]

Human operators show significant variability in performance when operating in complex manufacturing systems that are usually referred to human errors. Such errors are identified as the failure to perform an action within the safe operating limit and often lead to product quality defects. Approximately 50%-80% of the incidents and accidents in safety-critical systems have been […]

This internship project aims at developing superior alloy chemistries and processing routes for the manufacture of recrystallization-resistant AlScZrMn(Mg) sheets for automotive brazing applications. Various alloys will be thermodynamically modelled, cast and rolled to thin sheets followed by a stabilization heat treatment. The sheets will finally undergo a simulated heat cycle that resembles that of a […]

Le secteur industriel est le principal consommateur d’énergie au Québec, avec 38% de toute l’énergie consommée. Or, les études montrent qu’entre 20 et 50% de l’énergie consommée en industrie est perdue sous forme de rejets thermiques. Il s’agit donc d’un important gisement d’économies potentielles d’énergie pouvant être exploité. Bien que le domaine de l’usinage ait […]

Buildings are responsible for a third of the total carbon emissions worldwide. Net zero building is a type of building that produces as much energy as it consumes, and it has a great potential for energy and carbon reductions. This research aims to study how multiunit residential buildings (MURBs) (e.g. condominiums) in Toronto can become […]

In order to address issues with affordable housing, new innovative approaches to construction are being developed which require customized feedback using smart data solutions. This research aims to develop the necessary software and hardware configuration to enable designers to optimize their decision making in design, construction and operations of single-unit and multi-unit residential buildings. The […]

Continuous centrifugal casting (CCC) is a new process to produce aluminium tubes with many advantages over classical extrusion: reduced amount of scrap and energy consumption, low transformation costs, more flexibility to produce tubes of different sizes… In CCC, a constant flow of molten aluminum feeds a rotary mold which solidifies the metal into a tube […]

This project will use a breakthrough brainwave technology to track the recovery of patients who have serious brain injury after cardiac arrest. Doctors currently rely on behaviour-based tests at the patient’s bedside to measure their brain function, but this is not reliable. A better method is to measure brain function directly using brainwave information. We […]

The project aims to analyze the through-thickness compaction of dry fibrous reinforcements at the mesoscopic scale. Predicting how fiber tows deform during the compression of woven fabrics is important in resin injection processes because textile deformation plays an important role on permeability. Fiber orientation governs also mechanical performance. Hence, compaction represents a key issue that […]