The proposed research aims to optimize soil model parameters through inverse analysis of deep excavations. Soil properties and their engineering behavior are the fundamental uncertainties among the many influential factors involved in deep excavations. Even though geotechnical investigations are usually conducted, the risks are still high due to the limited amount of soil samples extracted […]

Nowadays, wearable devices attract a lot of attention, especially in the healthcare field. But translating all devices to wearable devices always comes with challenges. Some of the challenges are lack of knowledge about the application of different materials in smart textiles, limitation of developed smart textiles in practical application, no significant dedication in designing clothing […]

To reduce the emission of greenhouse gases, significant efforts have been made to increase the efficiency of gas turbines. Likewise, the use of hydrogen is suggested to replace hydro-carbon-based fuels. To achieve these goals, it is mandatory to use advanced manufacturing techniques to produce the key components of turbines. Laser power bed fusion additive manufacturing […]

This innovation project between Tenantcube Inc. and Brock University aims at enhancing Tenantcube’s data ecosystem and analytics capability. Tenantcube Inc. is a Property Management Software company that elevates the residential renting experience for the modern-day landlords and tenants in Canada and the USA. In the recent years, there has been an influx of international students […]

Public healthcare organizations continuously struggle to innovate and respond to complex societal challenges and the evolving needs of society. Given the inherent risk and uncertainty associated with translating new innovations into practice, public healthcare organizations face severe challenges on transferring new knowledge of innovations from research into practice. This has led to a “quality gap” […]

In this project, the university and industry researchers will work together to examine ways in which two new, powerful computing technologies, machine learning, and quantum computing, can be combined in order to improve our ability to understand and simulate molecules, chemistry and materials. One of the key challenges that limits improvements to today’s chemical simulation […]

The goal of this project is to develop patches/creams which are able to deliver a variety of nucleic acid and gene therapy payloads through the skin, in an effort to develop gene therapy for skin pathologies. To date, the drugs delivered topically are limited to small molecules in small doses, limiting the types of drugs […]

With the growth of the Internet, the amount of scientific data and information available to research teams has been increasing exponentially in the past two decades, which results in significant information overload. Approaches for manual knowledge extraction and curation does not scale up in practice. The main objective of the project is to create an […]

This project will involve creation of video content enhancing the company’s brand and contributing to the company’s mission of disrupting how professionals work and how they get hired.

The Humber River watershed is a mixed urban, rural watershed within the Greater Toronto Area and a designated Canadian Heritage River. The Toronto and Region Conservation Authority (TRCA), in partnership with relevant municipalities, is developing a watershed plan to determine existing conditions and identify measures to protect, enhance, and restore watershed conditions. Water quality is […]

The proposed project will help TOH rise to the challenges posed by this complex and dynamic environment by facilitating: (1) identification of compliance risk, (2) a risk-based approach to risk mitigation, and (3) targeted recommendations to effectively and efficiently close compliance gaps and ensure effective and meaningful reporting and monitoring of compliance risks based on […]

KnowMeQ Inc, a future of work online skills assessment is working with the University of Guelph to establish a candidate recommender tool which reduces bias. This is the first phase of deliverables of the relationship, wherein the groups are building towards an ethical AI algorithm and an Adaptability Quotient (AQ) composite measure.