Deep neural networks have demonstrated state-of-the-art modeling accuracy on a wide range of real-life problems, with some cases surpassing human performance. Despite the promise of deep neural networks as an enabling technology for a large number of industries and fields, there are two particular key challenges in the design of deep neural networks in real-world, […]

As the urgency for action against climate change increases, local governments around the world are committing to reducing greenhouse gas emissions through deep decarbonization targets. Cities are the largest place-based sources of GHG emissions and therefore have great potential to reduce emissions on a global scale. In order to reach meaningful reduction levels, transformative change […]

Sarcopenia is a disease characterized by the decline of skeletal muscle mass, muscle strength, and physical performance. To gain a better understanding of this disease and to assess both functional and anatomical effects of sarcopenia, experimental and modeling data have been collected. The neuromuscular models developed in our team and the studies built on them […]

The detection of a biological agent has become paramount to anticipate a possible health threat (epidemic or pandemic), an environmental threat or to combat other contextual threats (bioterrorism, chemical and biological weapons). A cost effective, portable, reliable and safe solution is required to allow detection in location where biological equipment is not available (such as […]

The recovery of facial mimics for patients with facial paralysis allows to improve their living conditions and social identity. Functional rehabilitation of facial disorders is also an important clinical step to improve the quality of surgical interventions and drug therapies. However, the recovery and rehabilitation of facial mimics and expressiveness remains a major scientific and […]

This project is intended to further the videogame industry’s understanding of user presence and immersive game design, where the player feels that they exist in a virtual space and can control a virtual environment with their physical body. Rather than trying to achieve immersion in a virtual world by escaping from the body, this project […]

The design and operation of energy systems, specifically those driven by chemical processes such as gasification and coal combustion have long been associated with theoretical model-ling studies done within chemical engineering. However, with the rising need to face challenges brought upon by a warming climate and increased emissions from fossil fuel sources, there is significant […]

Spinal cord injuries and other pathologies of the spinal column represent a large cause of disabilities or deaths and significantly affect the quality of life of the individuals affected. To reduce the risk of further injury during spinal surgery and to support diagnostic and treatment, there is a need for a non-invasive real time monitoring […]

In the framework of a collaboration between eBioMed chair of UTC-BMBI lab and Ubilab from Waterloo University, an automatic sound recognition system for activity daily living identification will be implemented on a Raspberry Pi card. This algorithm is able to analyse continuously the sound environment and to recognize distress sounds and was already proposed on […]

A crisis is looming for many Ontario citizens with developmental disability and other challenges that make their support needs especially complex. In recent decades a process of deinstitutionalization moved the Province away from a morally problematic “warehousing” model towards one where people had an opportunity at meaningful lives in their communities. However, many are living […]

The main goal of the proposed work is to develop an ultra-thin and selective GO membrane capable of separating water vapor or steam from air. For this purpose, a suitable membrane supports required to hold the GO sheets. Therefore, the GO sheets will be deposited on various membrane supports and their performance in terms of […]

Game-based learning tools often make use of questions to measure and encourage learning, but generating questions can be challenging, especially at the scale that companies like Axonify are required to do. In this project, the intern will design, implement, and evaluate a system that can apply machine-learning on a corpus of text (e.g., a textbook) […]