Finite Difference Time Domain (FDTD) simulations allow researchers to model complex devices and systems based on integrated micro/nano structures. The electrodynamic behaviour predicted by FDTD simulations match very well with the real physical systems, which significantly accelerates the development of novel devices. However, there are limitations in existing FDTD techniques to model metal nanoparticles on […]

To design and produce better materials for construction and manufacturing, as well as discover new and improved drugs, scientists need to be able to predict properties of molecules or crystalline solids – ideally, before they are made in the lab. At the atomic level, these properties are governed by quantum mechanics, which makes the prediction […]

Climate change is one of the greatest threats to human health in the 21st century, with approximately one in four worldwide, attributable to environmental factors (1). Ironically, healthcare itself is responsible for 5% of annual global greenhouse gas (GHG) emissions, equivalent to airplane travel (2). Within healthcare, kidney care services have substantial environmental impacts compared […]

There is a growing need to develop new crop protection products that are more effective against fungal disease and mitigate pathogen resistance. The fungicide product development process is time consuming and expensive and there is a great opportunity to reduce costs and time by using machine learning. In this project, an existing deep learning algorithm […]

As a full-service, data-driven solutions provider for aviation, SKYTRAC Systems is developing new 2-MCU satellite communications (SATCOM) terminal, SDL-350, which will be capable of achieving globally available broadband transfer rates of 352 kbps both to and from the aircraft. One critical challenge facing the R&D engineers of SDL-350 is the thermal management, because the power […]

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 […]

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 […]

The human brain consists of more than 100 billion cells, many with specific structures and functions, performing complicated computations every day. Understanding these properties is a key component for the development of therapies for neurological disorders such as epilepsy, depression and brain tumours. So far, most of our knowledge of the human brain has been […]

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 […]

Data management systems are the backbone of the modern society powering many impactful applications. As data volume and the need for fast data processing continue to grow, it is paramount for data management software to evolve and provide high performance. This in turn must be done by co-designing data management software with the underlying hardware […]

Xeni Gwet’in is one of the six communities that form the T?ilhqot’in Nation located in the traditional T?ilhqot’in territory approximately 200km west of Williams Lake. Xeni Gwet’in is the only community in Canada to have received Aboriginal Title land that is recognized by the Supreme Court of Canada, which means that 1700 square kilometres of […]

Carbonate hosted hydrothermal ore deposits commonly develop narrow mineral alteration (i.e. visible) haloes, complicating exploration targeting. In contrast, hydrothermal modification of the country rock’s stable isotope composition usually extends far beyond visible alteration. Hence, stable isotope “mapping” is an effective tool to aid exploration for carbonate?hosted deposits. However, widespread utilization of stable isotope data has […]