Recent years have witnessed a boom in the construction of modern high-rise buildings in megacities around the world. Since many of these megacities are also located in seismically active regions, it is important to design a high-rise building that can effectively withstand both wind and earthquake loads. Nonetheless, in current practice, the design of high-rise […]

Self-driving laboratories are becoming more feasible thanks to the advances in the robotics and machine learning fields. Development of these laboratories to deal with scientific challenges are promising as they can operate faster while being cost and labor efficient. Despite harvesting of renewable energy sources such as solar and wind power is becoming cheaper and […]

Most mammals require care from older individuals during early life. Mothers tend to be the primary caregivers during this time, but in some mammals, notably social carnivores, rodents, and primates, care can be provided by conspecifics. In most primate species, allomothers tend to be female, making infant care by males a rare behaviour. Recently, we […]

Certain classes of stars in the universe emit flares – dramatic bursts of energy that appear across the electromagnetic spectrum. Flare activity for these stars is highly variable across time, and predicting this behaviour is an interesting problem both from an astronomical and from a statistical viewpoint. Within the field of astrostatistics, “changepoint detection” models […]

A universal sample introduction system will be developed in this project for direct analysis of solid and liquid samples with inductively coupled plasma mass spectrometry (ICP-MS). There are many applications in which on-site analysis of samples in their original form is of great interest. Examples include the inspection of soil for possible contamination in the […]

Tailings dams are used to store water and waste that come as by-products from the mining process. They can be huge in size, as big as lakes, and reach 300 meters high. Tailings storage facilities can pose a threat to local wildlife and ecosystem, especially in the case of failure. In Canada, the Mount Polley […]

Neurodevelopmental disorders (NDDs) impact millions of children, unfold early in life, and encompass a wide range of symptoms across different domains of functioning. Attention-deficit/hyperactivity disorder (ADHD) and developmental coordination disorder (DCD) are among the most common NDDs, and they co-occur in approximately 50% of children. However, despite high comorbidity rates, most research studies focus on […]

In multiple sclerosis, the protective coating around nerve cells called myelin and the brain cells that make myelin, called oligodendrocytes, are lost. In addition, research has shown that astrocytes, another type of brain cell, may have a negative impact on recovery in MS. Our project takes on a two-birds-with-one-stone approach to combat MS by delivering […]

Over the last five years, it has become possible to estimate the capacity of existing, sometimes damaged, utilities and other infrastructure systems to support the local population in war zones. This estimation currently relies on satellite data to provide a basic map of what infrastructure is where. However, it is often difficult o get access […]

This project, sponsored by Safran Landing Systems Canada (SafranLS), involves the development of engineering techniques that enable rapid conceptual design of aircraft landing gear. The goal is to speed the early design of new landing gear to enable SafranLS to produce more, faster bids to manufacture landing gear for new aircraft at their two Canadian […]

Creating speech neuroprostheses, or devices that can help restore the ability to speak to people who have lost it due to neurological damage or disorder is extremely important because it can greatly improve the quality of life for these individuals. Despite this, there has not been a widely successful solution to this issue yet because […]

My project’s goal is to create an efficient application that would demonstrate the prediction of the survival and mortality risks of a certain patient generated by a deep learning algorithm, and provide doctors with all the relevant data surrounding this prediction. I am going to work on the ways to implement this application into doctors’ […]