The Canadian Association for Graduate Studies (CAGS) has created aTask Force on Truth and Reconciliation Calls to Action and Graduate Education (Reconciliation Task Force). This Reconciliation Task Force will examine the implications for graduate education in relation to the Truth and Reconciliation Commission of Canada’s (TRC) Calls to Action, to reflect on the role of graduate education in promoting reconciliation between non-Indigenous and Indigenous peoples in Canada, and to conduct a systematic review of reconciliation graduate educational practices from across the country.

AgnostiQ Labs is looking to develop immediately applicable encryption/obfuscation techniques for quantum computing. At present, encryption protocols developed in academia are unsuitable for real-world applications because they largely depend on quantum hardware that do not yet exist.

Today, physiotherapy balls or physioballs play an essential role in treating disability or body damages such as neck, waist, knee and so on. Despite their wide range of applications and importance, it is difficult to monitor the damaged member and propose continuous treatment in the presence of a physiotherapist or physician. This causes several problems and costs for the patient. Therefore, a new generation of physiotherapy balls will be created in this project. The idea is to perform exercises and monitoring without the need and/or the presence of a doctor or physiotherapist.

Deep neural network (DNN) is a class of machine learning algorithms which is inspired by biological neural networks. DNNs are themselves general function approximations, which is the reason they can be applied to almost any machine learning problem. Their applications can be found in visual object recognition in computer vision, translating texts in unsupervised learning, etc. DNNs are prone to overfitting because DNNs usually have many more parameters than the available training data. However, they usually have a low error on the test data.

The most important structure in the human brain is the cerebral cortex. It makes it possible to perceive our visual environment and sounds, to perform motoric actions such as grasping an object, to speak, to understand speech, etc. The cerebral cortex is a 2-5 mm thick sheet, embedded in the skull. Analysis of MRI data makes it possible to estimate the thickness of the cerebral cortex. In certain neurological conditions such as mild cognitive impairment, Alzheimer's disease and multiple sclerosis, the thickness of specific cortical areas decreases faster than in healthy aging.

Emphysema, a lung disease that millions of Canadians currently suffer from, has few safe and non-invasive options available. One of the features of emphysema is the lack of proper blood flow in the diseased lungs and this results in poor gas exchange. IKOMED Technologies Inc. has been developing a new technology that has the potential to remove diseased lungs non-surgically. The initial proof-of-concept experiments have already been tested and validated using rat models with Dr. Don Sin.

This project allows a PDF to take on a “feature engineer” role in which she will work closely with a biomedical engineer to identify novel features based on Tracery’s proprietary imaging method for Age-related Macular Degeneration (AMD). The PDF will serve as a vital link between clinical disease and computing, interacting with both academic and industry partners for automated feature extraction and ultimately machine learning and artificial intelligence.