Stroke is a devastating disease that causes a loss of blood to the brain and neuronal death. The sustained inflammation caused by stroke is associated with poor outcomes. Currently, there are no effective treatment options. Exciting new studies have shown a link between bacteria in the gut and brain. This has generated significant interest regarding […]

Free-space optical inter-satellite communication has become an area of key interest in global research and development towards satellite-based communication networks. The aim of this project is to research and develop a thermally stable, multi-watt, optical phased array for the purpose of coherent mechanism-free beam steering in inter-satellite communication systems. Development of this electro-optic chip is […]

Overactive bladder (OAB) is an incurable, chronic medical condition that is characterized by symptoms of urgency, frequency, nocturia and urinary incontinence. It affects approximately 18% of adults and over 30% of the elderly population. Saphenous nerve stimulation is a novel therapy aimed at treating OAB patients. It offers an alternative to bladder medication, which can […]

With the small qubit devices now becoming accessible across various hardware and cloud platforms, it is imperative to find useful tasks for the devices to perform. Such devices are known as NISQ – Noisy Intermediate Scale Quantum – devices. In this regime of a few qubits, we expect the physical qubits to be noisy in […]

Infectious diseases from a variety of pathogens can lead to serious health conditions such as sepsis. To improve the prognosis and decrease the mortality rate of infectious diseases, point-of-care testing (POCT) of blood biomarkers is a critical approach. Testing of biomarkers such as C-reactive protein, IL-6 and procalcitonin could help identify the type of pathogen […]

Organic molecules are used in many areas, for example in drugs or solar cells. However, the development of new organic molecules with desired properties is difficult, time-intensive, and requires a lot of trial and error. A new line of research uses artificial intelligence to partially automate this process and make it more reliable. This project […]

This research project will examine the key factors contributing to the financing success of Canadian rare earth producers from both private and public markets, including Initial Public Offerings on Toronto Stock Exchange and Mergers and Acquisitions transactions. The results from the research will be used to provide an analysis tool for Byron Capital Markets investment […]

This research focuses on the trade of Canadian wild foods, such as morel mushrooms, wild blueberries and fiddleheads. The major operational challenge in the sector is connecting remote, rural contexts of production with global, urban centres of consumption. A distributor’s competitive advantage rests on constant innovation of the informational, social and pricing techniques that motivate […]

Improving the design and operation of open pit mines by better understanding and modeling of spatial variation of rock mass properties, can bring economic benefits to the mining industry. The proposed research project aims to develop an innovative large-scale discrete fracture network (DFN) model that is spatially constrained based on the recorded fracture data from […]

One challenge to industry adoption of products and services based on Machine Learning and Artificial Intelligence is that their inner workings are often not discernable to human operators. When operators can’t reason about theit tools they tend to make poor decisions about how and when to rely on them. This ultimately limkitsthe effectiveness and efficiency […]

Reinforcement learning (RL) is the problem of designing an agent that interacts with its environment and adaptively improves its long-term performance. Many complex real-world industrial decision-making problems can be formulated as an RL problem. RL is at the core of artificial intelligence and has the potential of having a huge impact on our economy and […]

Bioprocesses are indispensable for the sustainable production of high value chemical compounds from renewable feedstock. In many processes, genetically engineered strains with a modified metabolism are used. Boosting the performance of such a production host can be essential to make a bioprocess profitable. Computational strain design provides methods to identify interventions in the microbial metabolism […]