Silicon solar cells have increasingly been recognised as key components in future renewable energy solutions. However, their sustained viability will depend on cell performance and cost, with the current emphasis on thinner cells made from lower grade silicon. However, although such cells would be cheaper, their performance would be compromised by the presence of even […]

Water is an essential commodity for survival of life on earth. The scarcity of potable water is increasing universally and that too is severe in rural and remote areas as they lack suitable treatment facilities/technology. Treatment of polluted water and desalination are the most promising options to meet the fresh water demand. Out of various […]

Protein degradation induced by PROTACs (PROteolysis TArgeting Chimeras) constitutes a novel modality of drug discovery, with advantages over the traditional approach. This approach is still at infancy and there is a lot to learn in this field. The trainees will work under academic supervisors at University of Toronto, who are experts in chemical tool development […]

Beyond job creation, entrepreneurship may hold an array of further benefits to a given community which provides support for it. This project works to define some of these additional benefits, as well as to determine some features of a community which may contribute to entrepreneur attraction and youth retention rates. The research will be conducted […]

Robotic-assisted surgical systems have enabled minimally invasive procedures to reduce recovery time and traumas compared to conventional open surgery. Even though there exist some examples of systems capable of accessing remote places within the body, e.g., the current commercial systems are limited by their large size, high cost, and inability to navigate in tortuous paths. […]

In this project, we would model the underwater acoustic behavior. Using the model, we will calculate the distance to the source of the sound with high accuracy despite the underwater environmental conditions. The second part of our project is to classify the source producing the sound. Our algorithm will be able to detect and distinguish […]

The objective of this project is to design and develop interaction techniques for Webspaces in Virtual/Augmented Reality. We will study and understand current techniques to interact with the websites via screens, how users access the information and media presented on the websites and the ways in which this presentation of information can be improved to […]

Currently there is a huge challenge in drug screens as the vast majority of the candidate drugs fail in clinical trials either due to no efficacy or drug toxicity. As an alternative to traditional animal models, zebrafish have recently emerged as a powerful vertebrate paradigm to study human disease and to use its developing embryos […]

Bell’s Cyber Threat Intelligence (CTI) team is collaborating with academic institutions in order to further research and develop cyber security analytics for the protection of critical infrastructure and data. The focus of this research is to create and leverage a traffic classification project specifically for network security purposes. This research to design distributed algorithms fast […]

The challenges faced by mammals in adapting to their environment must be tightly controlled in order to ensure optimal body function. Hormones can travel in the bloodstream to reach various parts of the body and execute their biological actions on various organs. However, to reach their target the hormones must leave the bloodstream. That means […]

The Ubiquitous Health Technology Lab (UbiLab) will explore the development of a data integration framework and recommendation for associated standards that aims at combining data from (1) smart home systems, (2) AAL or IoT for health technology, (3) mHealth, and (4) wearables. Important areas of data management will be explored, as for example security and […]

Geostatistical techniques offer a means of mathematically approximating the spatial patterns of geological parameters. The geostatistical interpolation and simulation methods are commonly used for modeling ore bodies. The accuracy of these models has significant impacts on the reliability of mine planning and design. The proposed research project aims to apply advanced machine learning methods, geared […]