This project plans to investigate the synthesis and reactivity of new iron-based compounds for the conversion of carbon dioxide to methanol. These compounds aim to use cheaper, more earth abundant materials and exhibit greater efficiency than current literature examples. During this research project, all compounds will be fully identified with a range of analytical techniques […]

This project will explore how Toronto’s planning regulations, real estate market and urban form influence the feasibility of urban redevelopment within the city. The expected results will contribute to society and industry through the creation of 3D spatial decision support system as one of the key deliverables. This tool will help inform stakeholders of the […]

This project will develop new abundant-element systems for catalytically relevant chemistry. It will establish phosphorus/boron containing alternatives of a key class of compounds called allenes. The development of abundant-element chemistry, capable of the powerful synthetic transformations, traditionally enabled by precious metals, is key to reducing environmental damage and meeting the global economy requirements. This placement […]

Algorithms that learn and sample from probability distributions form an important part of machine learning, AI, and the natural sciences. One needn’t look far to find such algorithms at the bleeding edge of methodology, and in everyday scientific pursuit. The Wang-Landau algorithm is an example. It combines a sampling step with a learning step, to […]

Depression is a mood disorder that is often resistant to treatment – in part because there are distinct subtypes of depression. For more effective treatment, we need to better understand patterns of behaviour that characterize subtypes as well as underlying patterns of brain activity and chemistry. One pattern of behaviour that has been under-investigated in […]

Conventional agriculture needs large inputs of nutrients, through the addition of fertiliser, in order to produce the amount of food needed globally to sustain the population. Typical fertilisers are hugely wasteful, polluting the atmosphere and waterways, and affecting human health, wildlife, and ecosystem stability. Nanomaterials are very small particles that have potential to be used […]

This project aims to develop a reinforcement learning agent with access to depth cameras to aid map building for SLAM. Research has shown dynamic environments, where the majority of frame is taken up by dynamic objects, along with low fidelity and lighting can lead to low robustness in practical application. We hope to use reinforcement […]

This project will explore sedentary behaviour (the time a person spends sitting or reclining) and physical activity in prostate cancer survivors. More sedentary time and less physical activity have been linked with negative health outcomes for cancer survivors. However, research into sedentary behaviour has become an emerging priority. This project will utilize a novel method […]

Diabetes is a disease affecting around 10% of the population which is caused by an inability to regulate blood glucose levels. Sex differences exist in diabetes; men have increased incidence of type 2 diabetes compared to pre- menopausal women. Blood glucose levels are normally tightly controlled by insulin release from beta cells in the pancreas, […]

The UK and Canada have officially declared a climate emergency; clean energy production is vital in combating climate change. Offshore wind proves a viable method of green energy production for the UK and Canada. Titanium alloys offer longer lasting structural materials than steels, but titanium is expensive. Recycling titanium from aerospace waste offers a cost […]

The amount of water and sediment entering a river control the nature of its flow. In landscapes vulnerable to climate change, e.g., changes in precipitation, hydrology, or the disappearance of glaciers, this could result in significant changes in water and sediment inputs to rivers. The consequence of this may be down-stream flooding with negative impacts […]

CASTOR is a proposed wide-field, ultraviolet and optical space telescope that is under development by the Canadian Space Agency. Ultraviolet light is the best tracer of star formation in galaxies, and CASTOR’s unique combination of sensitivity and excellent image quality will be transformational for this field of study. In this project we will assess how […]