Water loss through background leakage in water distribution systems is increasingly plaguing municipalities. As the cost of energy to treat and transport water steadily rises, and the scarcity of fresh water in communities becomes more prominent, action to replace deteriorating water infrastructure is critical. The proposed research aims at providing water utilities a cost-efficient method […]

A novel laser surgery method has been recently developed at the University of Toronto based on the excitation of the ultrafast broadband acoustic fields in tissues by means of the picosecond infrared laser (PiRL) pulses. By using sufficient laser power, the propagation of these fields through tissues efficiently creates incisions with minimal collateral damage. Initial […]

The interns will develop a quantum communication network built on RBC’s optical fiber infrastructure and perform secure commercial transactions using quantum-generated secure keys in the integrated classical communication network. The quantum communication network will be based on the measurement-device-independent quantum key distribution technology, which is developed by Prof. Hoi-Kwong Lo’s and Prof. Li Qian’s groups […]

In the recent years, the advances of machine learning, and more precisely deep learning, have lead to incredible progress in areas such as computer vision, speech recognition and natural language processing. Training algorithms based on deep neural networks can take a huge amount of time and computing resources. The first generation of quantum computers currently […]

Dental caries is a major health hazard in the general population worldwide. Fluoride-based formulations are conventionally used to resolve this problem but they present certain important disadvantages, which has been overlooked. Here we propose to develop and characterize a non-fluoride based dental varnish using natural product conjugated nanoparticles that holds the potential of inhibiting bacterial […]

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 […]

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. […]

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 […]

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 […]