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 have developed a small-scale filter detection device to provide high sensitivity, while being inexpensive and portable for diagnostics at the point of care.

A content management system (CMS), is an application that helps control the creation, publishing and archiving of site's content. CMSs also allow extending the functionalities of a site by installing modules or plugins. A considerable number of different CMS platforms with variety of sizes and capabilities can be found on the market. Some of the most popular CMSs are Joomla, Drupal, and WordPress. With the varies capabilities those CMS provide, organizations may decide to migrate their CMS-based Web applications to other CMS platforms to better meet their needs.

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 environment.

This project aims to assess the effects of the COVID-19 pandemic on film festivals locally, nationally, and internationally. Though a partnership with the Toronto Queer Film Festival (TQFF), we will survey and interview festival organizers and their audiences in order to assess how film festivals are adapting their programming online and how audiences are engaging with this new programming.

Koivisto Materials Consulting Inc (KMC) is a Canadian-owned and operated for-profit company that seeks to commercialize a low-cost optically transparent photovoltaic windows and coatings. KMCs proprietary technology is based on a modified dye-sensitized solar cell (DSSC) architecture and novel bio-inspired dyes. The two major advantages for DSSC devices are their optical transparency and ability to operate more effectively in diffuse light conditions (cloudy days, indirect sunlight, etc.); making them amenable for urban landscapes and all interior surfaces.

Construction zones are one of the leading contributors to Toronto’s ever-growing congestion. The aim of this study is to develop an integrated construction zone traffic management framework to minimize disruption of the traffic and reduce the effect in terms of congestion. This study leverages historical and real data collected from on-board construction trucks provided by the partner organization to find an insight as to how far upstream and downstream of the work zone congestion propagates.

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 solutions to optimize the bidding decision, however these solutions are applicable to a range of prediction or classification tasks.

(TTC) for improved public transit planning and better transit service delivery. With the implementation of PRESTO Card, TTC now generates real-time data on how often and where transit riders interact with the TTC’s infrastructure and network. PRESTO Card data allows new ways to capture transit demand in real-time and makes it possible to deploy state-of-the-art data science and predictive analytics to develop ridership forecasts for varying time horizons. The ridership forecasts could then be used to generate forecasts for farebox revenue.

The focus of this project is on building performance evaluation (BPE) in residential houses in Southern Ontario. Eight green homes will undergo BPE to see how well they are performing. The project will compare current building performance to the designed building performance. This comparison can help to see whether a “performance gap” exists. A performance gap is a difference between the actual building performance and the designed building performance. It will use on-site testing, collection of existing data, and observations from residents of the homes.

The objective of the study is to develop an algorithm to streamline and automate the decision making process for implementing the municipal wastewater collection flushing program. Traditionally, a municipal flushing program, or pipe cleaning, is based on a time-cycle approach. This means that all sewer pipes in the network are treated the same, ignoring variables, such as the pipe physical attributes, site conditions, use and service are ignored. The driving paradigm for this project is to switch from a quantity-focused practice toward a quality-focused approach.