Quality inspection is very important for manufacturing industry, current solution struggles with accuracy and requires machine vision knowledge to use. We are proposing to use deep learning technology to improve the performance of inspection as well as to ease the use of such system, so that user can simply use labeled data to build a […]

The proposed Mitacs research will strengthen trust-building, communication and learning among community-campus engagement (CCE) practitioners and stakeholders by examining how communities of practice and social learning form at varied scales within the context of CCE work in Canada. Community-campus engagement occurs when members of academic institutions and communities come together within community-based research, learning, and […]

Assessing dangerous avalanche conditions requires a reliable stream of weather and snowpack data, which can be difficult and expensive to collect in many remote areas of Canada. Snowpack conditions can be simulated in these areas by coupling weather forecast models with physical snowpack models, however, this method has had limited adoption by avalanche forecasters. The […]

Assessing dangerous avalanche conditions requires a reliable stream of weather and snowpack data, which can be difficult and expensive to collect in many remote areas of Canada. Snowpack conditions can be simulated in these areas by coupling weather forecast models with physical snowpack models, however, this method has had limited adoption by avalanche forecasters. The […]

This project is a collaboration between Triptech Engineering and Software Services LTD and Laboratory for Alternative Energy Conversion (LAEC) at SFU to develop data analytics solutions for PEM fuel cell industry. The fuel cell industry is suffering from component/system failure and coping with analysis of tremendous amounts of data. Knowledge extraction from this complex data […]

Diabetes mellitus, a common metabolic disorder, exhibits neuropathic complications that can eventually lead to disabling pain (Todorovic 2015). This is attributed to hyperglycemia/high glucose resulting in neuronal hyperexcitability (Todorovic 2015). Importantly, diabetes-evoked neuronal hyperexcitability and neurotoxicity can be caused by alterations in voltage-gated sodium channel (VGSC) expression (Hong, Morrow et al. 2004), resulting in changes […]

Diabetes mellitus, a common metabolic disorder, exhibits neuropathic complications that can eventually lead to disabling pain (Todorovic 2015). This is attributed to hyperglycemia/high glucose resulting in neuronal hyperexcitability (Todorovic 2015). Importantly, diabetes-evoked neuronal hyperexcitability and neurotoxicity can be caused by alterations in voltage-gated sodium channel (VGSC) expression (Hong, Morrow et al. 2004), resulting in changes […]

Diabetic retinopathy (DR) is a complication of diabetes which is the most common cause of vision loss among people with diabetes. DR damages and alters the structure of the capillary network (microvasculature) in the retina, a light-sensitive tissue that lines the back of the eye and is responsible for vision. Clinicians can analyze the microvasculature […]

Radon is a cancer-causing radioactive gas produced by the natural decay of uranium in rocks and soils. Radon can enter buildings and reach high levels in indoor air (Khan and Gomes, 2017). It is the second-leading cause of lung cancer (after smoking). killing approximating 3200 Canadians a year (Chen et al. 2012). High radon concentrations […]

Radon is a cancer-causing radioactive gas produced by the natural decay of uranium in rocks and soils. Radon can enter buildings and reach high levels in indoor air (Khan and Gomes, 2017). It is the second-leading cause of lung cancer (after smoking). killing approximating 3200 Canadians a year (Chen et al. 2012). High radon concentrations […]

Phenotyping is used to develop new strains of plants, understand plant-affecting diseases (phyto-pathology) and evaluate the effects of various substances on plants. A growing variety of sensors and sensor technology is used to gather data used for phenotyping, in a non-destructive manner, and this overall process of data acquisition and analysis is being automated, leading […]

In this project the human body movement and its balance will be studied, and artificial intelligence-based algorithms will be developed in order to detect the body movement and the posture in real-time. Specific camera technology will be utilized in order to gather required data of the human movement and the environment. The data will then […]