Higher drug discovery failure rate has led to an increase in drug prises in the market. BioInteract technique is designed to combat the failure rate by identifying most potential therapeutic drug for a broad range of genetic diseases by analysing the drug effect at molecular level. It is a scoring system that can rank drugs […]

The COVID-19 pandemic affected every aspect of our lives, and recreational water facilities were not immune to this with several questions and concerns about potential exposure to the virus at these facilities. This research project aims to understand experiences, needs, and attitudes towards the use of recreational water facilities, namely, public pools and spas during […]

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 […]

(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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

Our proposed research is to create an algorithm capable of pre-evaluating diabetes patients’ meals before they consume them with the snap of a picture. We are attempting to accomplish this goal by employing AI, machine learning as well as computer vision for real-time analysis. Our goal is to analyse a users meal to return an […]