This project aims to provide a solution to a critical problem in existing superconducting quantum processors by developing methods to create long-range interactions. Superconducting qubits are one of the most promising platforms for building quantum computers. Currently, quantum processors based on this technology offer the largest quantum memories, but do not benchmark well in terms […]

We will explore a low-carbon hydrogen pathway, i.e., renewable power-to-ammonia (P2A) production and distribution to connect the hydrogen economy between Canada and Germany. Ammonia is a commodity for fertilizer with mature production and distribution infrastructure. However, careful analyses are required to evaluate its potential as a hydrogen carrier for energy and trade. A combined techno-economic […]

In modern automotive engineering, vehicles are primarily designed in the virtual space to enable a rapid vehicle design process. However, this process is heavily constrained by the time and computational requirements necessary to generate the vast number of simulations needed for vehicle design. Fortunately, modern machine learning (ML) techniques may be used to dramatically accelerate […]

Atomic Force Microscopes have gained wide acceptance as a robust tool for metrology of nanometer and atomic scale surfaces. Nonetheless, AFMs lack some key capabilities that would benefit the industries and the scientific community at large. In this project, the limited scan range (1000×1000 um2), bringing the (sub-)nano resolution AFM images into the millimeter range. […]

Over 3 million Canadian suffer from bone disease resulted from trauma, tumor removal and cancer and the number increasing with aging population every year. We plan to use hydrogels to create bioactive scaffold using 3D bioprinting extrusion method with potential for local drug loading and slow drug release for bone regeneration. We develop bioinks with […]

The presence of metal ions in contaminated water from industrial processes present a huge challenge that has led to great concern regarding their effects on human health. Conventional treatment processes are not adequate for their removal, so new technologies need to be investigated. The use of three-dimensional porous system, such as hydrogels, is an alternative […]

Subsurface dewatering is critical to the safe and economic operation of mines. Operational planning for dewatering often necessitates advanced numerical models for accurate prediction and requires a well-defined understanding of the regional geology, hydrology and hydrogeology, and how this influences infiltration of groundwater into mining pits and underground galleries as well as sources of recharge. […]

In this project, the intern will work with an expert team from the company Zapata, to compare the performances of machine learning models on classical computers and on quantum models in terms of generalization to unseen data

Public healthcare organizations continuously struggle to innovate and respond to complex societal challenges and the evolving needs of society. Given the inherent risk and uncertainty associated with translating new innovations into practice, public healthcare organizations face severe challenges on transferring new knowledge of innovations from research into practice. This has led to a “quality gap” […]

The goal of this project is to develop patches/creams which are able to deliver a variety of nucleic acid and gene therapy payloads through the skin, in an effort to develop gene therapy for skin pathologies. To date, the drugs delivered topically are limited to small molecules in small doses, limiting the types of drugs […]

Cryptocurrencies are changing the way we conduct business and how we pay for products and services. Investors are increasingly looking to adopt cryptocurrencies in their practices. However, cryptocurrency trading can be perilous, as many risks are present, ranging from technical and legal risks to market risks. Understanding the concepts around cryptocurrency, like their mining and […]

The proposed research project leverages novel 2018-22 data, generated using the GEDI LiDAR sensor aboard the International Space Station. This data is used to advance the science of quantifying forest biomass and carbon storage, to create estimates that coincide with natural asset management decisions.