Optimization of low-temperature carbon electrodes for efficient hole extraction from perovskite absorbers with variable bandgap

The project involves the investigation and optimization of carbon electrodes to achieve efficient perovskite photovoltaic devices for indoor and outdoor applications based on a method that can be used for industrial production. The intern will first study the optimization of carbon electrodes for solar cells, which will involve materials and device engineering. Then, the intern […]

Read More
Programming Techniques for QUBO Compatible Processors II

The main problem this internship project explores is the selection, conversion, and encoding of mathematical models that pertain to the finance industry for processing on available types of analog optimization processors. This research investigation aims to develop new algorithms and code that take advantage of an analog optimization process which acts as an “oracle” for […]

Read More
Système de vision par ordinateur pour la mise à jour de la cartographie routière

Le projet vise à améliorer un système d’aide à la conduite pour les camions de transport basé sur des caméras embarquées et des techniques d’intelligence artificielle. L’objectif principal est de mettre à jour l’information sur la vitesse maximale autorisée, cette information étant ensuite utilisée pour limiter automatiquement la vitesse des camions. Le défi principal est […]

Read More
Selecting appropriate steel-grades for polar-class icebreakers construction

In shipbuilding industry, selecting an appropriate grade of steel and the associated characterization techniques, tailored well for low temperature application, have always been a challenge. This subject can be even more critical when we are talking about the materials selection and the characterization techniques for polar class icebreakers. Therefore, Chantier Davie Canada Inc. (CDCI) in […]

Read More
Application of deep learning generative network algorithms linked with super-resolution methods and fusion techniques to improve the quality of noisy and unlabeled ultrasound images

We aim at developing new approaches which have not been performed so far, such as i) enhancing the resolution and quality of noisy and unlabeled conventional ultrasound images through deep learning SRMs, ii) synthesizing high-quality MRI from the enhanced ultrasound images through generative networks, iii) fusing ultrasound and synthetic MRI images for different aspects such […]

Read More
Storage, fluidization, and distribution of the high solid fraction ice slurry

Deepchill and slurry ice is a dynamic medium whose fluid properties change with many different factors such as solute concentration, ice fraction or thickness, temperature, time (settling) and agitation. Once it is generated, it must be stored in different forms depending on the required final applied. Storage, fluidization and distribution of this medium is a […]

Read More
An NLP-based approach for Pipeline Monitoring and Leak Detection

Pipelines are an imperative part of the energy sector and have a substantial impact on the Canadian environment, and economy. The slightest mishap in pipelines can lead to devasting environmental impacts as well as huge financial consequences. Therefore, developing sound automated pipeline monitoring by leveraging artificial intelligence (AI) and machine learning (ML) for safe and […]

Read More
External visual observers for understanding manufacturing operations & predicting faults

ATS Automation Tooling Systems Inc. provide solutions for factory design and automation. Their life sciences division provides manufacturing solutions for world leading companies engaged in medical devices, pharmaceuticals & diagnostics. ATS also develops automation systems for the transportation, energy as wells the consumer & electronics sectors. The Vision Image Processing (VIP) lab at the University […]

Read More
Développement des connaissances en droit de la cybersécurité et protection des renseignements personnels

Le droit peine à se développer pour répondre aux enjeux multiples et diversifiés que pose le développement rapide des enjeux et des moyens mobilisés par la cybercriminalité et la protection des renseignements personnels. Dans ce contexte, les stages envisagés visent à tirer avantage de l’expertise de pointe développée par l’organisme partenaire pour développer un programme […]

Read More
Smart ELISA Protocol Development and Implementation using Somru Intelli.R Automation Systems

Enzyme-linked immunosorbent assay (ELISA) it is an immunochemical test that utilizes an enzyme (a protein that facilitates a biochemical reaction) and an antibody or antigen (immunologic molecules) to detect and quantify specific substances in a biological solution. The development of an ELISA protocol presents several challenges, however. For example, ELISA technology currently is developed largely […]

Read More
Feasibility Study of Incineration of Municipal Solid Waste in Churchill

Churchill is experiencing different types of challenges. Because of the remoteness of this place, the communication and transportation systems are very costly and challenging. Managing municipal solid waste manage is another emerging problem for Churchill community. The current waste management system in the town of Churchill is very costly, and environmentally unfriendly. Town of Churchill […]

Read More