Impairments of gait and balance often progress through the course of dementia, and are associated with increased risk of falls. Regular assessment of gait and balance could therefore be informative in tracking changes in functional status, and identifying individuals at a high risk of falling to allow for preventative measures. We have developed a technology, […]

The proposed project aims to develop numerical models using computational fluid dynamics (CFD) to understand and predict the performance of heat pipes in the context of cooling applications. Heat pipes are a type of enhanced heat transfer device that uses a continuous cycle of boiling and condensing a fluid to transfer heat at a very […]

This project involves the testing and characterization of new piezoelectric vibration sensors developed by the research group led by Prof. Bahreyni at the Intelligent Sensors Laboratory. These piezoelectric sensors have now been combined with another type of sensor – one with a capacitive transduction mechanism to improve the low-frequency sensitivity and noise performance. I shall […]

Manual performance, configuration and fault management of Cloud Data Centers is vulnerable to human intervention and therefore subject to human errors. One way to circumvent this problem is to use automation of the Cloud Data Center operations based on advanced technologies which may include Machine Intelligence. As it is known in mobile industry applications/systems are […]

Manual performance, configuration and fault management of Cloud Data Centers is vulnerable to human intervention and therefore subject to human errors. One way to circumvent this problem is to use automation of the Cloud Data Center operations based on advanced technologies which may include Machine Intelligence. As it is known in mobile industry applications/systems are […]

System performance can be analyzed by measuring its operation, and by studying a performance model. Each has advantages: measurements have fidelity to the actual system, while models have predictive power. This work will join the two approaches, by creating a model from data collected from traces. If successful, this model will help Ciena to understand […]

Body composition, i.e., the proportion of fat and muscle tissues in the human body is related to the risk factors associated with a host of medical conditions. The muscle and fat tissues are target locations for the water- and fat-soluble drugs respectively used for cancer treatment. Consequently, the proportions of these tissues are believed to […]

The first step is reviewing what has already been done in the lab and around the globe. Then we will Identify the biomarkers to target and techniques that can be used to do so. Next is to design a device in such a manner that the desired interaction is happening for efficient sensing of the […]

I will be working on the current project going on which involves studying the Robotics navigations in indoor and structured environment. Apart from that, we will be also looking into the SLAM problem in a humanoid robot (NAO). We are studying two approaches: (i) integration of SLAM with augmented reality, and (ii) SLAM via bio-inspired […]

The intern wilJ participate in a variety of activities related to research and analysis related to building programs carried out by various levels of government in connection with Canada’s Cen tennial of Confederation in 1967. The research will include literature review, archival research , project documentation and analysiS, and collection and interpretation of project data, […]

To reduce their carbon footprint, FortisBC Energy Inc. is investigating the possibility of injecting hydrogen into their natural gas distribution network. Prior to adopting this change, a comprehensive feasibility assessment and development of tools to support the hydrogen injection is required. This includes investigating the effects of hydrogen on existing gas distribution infrastructure, end-user appliances […]