The current project aims at designing a soft-robotic wearable glove which is applicable for rehabilitation of patients with loss of motor function in one or both hands. The wearable glove takes advantage of a set of different fluid-driven actuators. In order to design the actuators, flow control technique and also combine a set of actuators […]

The research project that will be conducted by the intern will enable the creation of a questionnaire that will later be deployed to the indigenous researcher (and graduate student) community. Most of the activities will involve gathering and analysis information from databases (i.e., Aboriginal People’s Survey) and interviews (and focus groups) to ensure that we […]

The main purpose of this project is to develop the methodology to detect and predict driver drowsiness at the early stages using physical and physiological variables. A feasibility test is conducted to evaluate the accuracy and performance of the proposed methodology. The existing databases are leveraged to extract the required data. Signal processing, image processing, […]

Computed Tomography (CT) is one of the most widespread non-invasive imaging modalities in medical diagnostics. Recent concerns regarding radiation induced cancer, has drawn a lot of attention to reduce the radiation dose used during CT scanning. However, the signal to noise ratio of scans taken at lower radiation dose is considerably lower than at higher […]

Healthcare requires the early and accurate detection of disease indicators, be they small biomolecules or viruses, which is vital for successful treatments, preventative medicine and disease prevention. Improving turnaround times for early and accurate detection will improve patient care, enable the mass screening of large populations during outbreaks and effectively reduce the diagnostic burden. We […]

While the use of specific drugs including cannabis cocaine, ecstasy, and heroin by youth 15-24 in Canada decreased in 2011 (Health Canada), the rate of drug use by youth 15-24 years of age remains much higher compared to that of adults 25 years and older. (Health Canada). Early intervention and education for youth has been […]

Sustainable method of treating waste water is one of the major issues across the world. Different techniques have been developed by various scientific communities but each possess some limitations. So, keeping in the mind of these major limitations such as high cost , external power source requirement, huge setups , non recyclable etc, design of […]

This study will identify a practical approach to bring a standard mid-size municipality into adherence with the ISO 14001, Environmental Management System standard, for its municipal wastewater system. This will increase the levels of government regulatory compliance, resilience on municipal infrastructure and reduction of risks for basement flooding, spills and overflows of raw sewage to […]

The purpose of this research project is to create an existing Asset Map of Ontario’s water technology sector – including innovators, suppliers, researchers, associations and others, in order to better understand the networks of innovation and to support WaterTap’s efforts to facilitate the development of innovation networks and advance water technology in Ontario.

This project aims to build on Phase 1 of the The Black Experience Project (BEP) currently being undertaken in the Greater Toronto Area. The multi-year research study that this project will support aims to examine the barriers to success for Black community members living in the Greater Toronto Area (GTA) which have and/ or continue […]

This project will engage a graduate student in communications to conduct research on usage patterns directed at social advocacy initiatives with the goal of conceptualizing how social media can be utilized to raise public knowledge and spur discourse about the living wage issue.

PledgX is interested in building a solution that aims to optimize the bidding process to maximize key performance indicators for contactors and vendors. For bidding optimization, several strategies and methods have been proposed; however, with the massive amount of available bidding datasets, the quality and performance of such methods are questionable. Machine learning introduces intelligent […]