Food waste is a multibillion-dollar problem in Canada and around the world. Some level of waste may be unavoidable, but large amounts of safe food are lost every year because of the arbitrary nature of measuring food spoilage. This is especially true at the wholesale and retail level for meat products. Food typically spoil in […]

Deep Neural networks have revolutionized machine learning and in particular computer vision. The revolution was achieved by a combination of big data, graphical processing units and advances in numerical optimization. In this work we propose to extend and develop machine learning techniques, focusing on deep learning methods for public health and safety applications. We will […]

NIRS is a popular secondary analytical method that is being used for non-destructive quantification of compounds and mixtures in the agriculture and agri-food sector. The study aims to estimate the starch content (amylose and amylopectin) in rice samples with NIRS. A dataset is being established by obtaining NIRS spectra (400 to 2500 nm, 0.5 nm […]

Many well-constructed, validated survey instruments in the field of industrial/organizational psychology are lengthy and complex to score and interpret. This is a significant issue as the intent of developing survey instruments is for their translation into industry practice. Short form survey instruments are becoming an increasingly common alternative for collecting data (Fisher, Matthews, & Gibbons, […]

Indoor air quality of buildings is becoming even more important today, with the persistence of COVID-19 pandemic. A new type of air filter, based on bead-on-string polyacrylonitrile, offers high ultrafine particles removal (above 99%) as well as low pressure drop. Environmental and Power Solutions and Canada Water Technology eXchange are joining forces to undertake research […]

Science and engineering companies rely on powerful computers to simulate, in virtual space, the performance of new processes and products. The computer architectures of these systems are evolving to provide even faster virtual solutions with less energy requirements. This hardware evolution impacts software design and implementation of simulation tools such as Computational Fluid Dynamics (CFD). […]

The proposed project will tackle the following inter-related research topics regarding localization, monitoring, and motion coordination of autonomous indoor service robots: (1) adaptive coverage-planning of arbitrary and uncertain non-convex indoor regions, (2) accurate and robust indoor localization of service robots using vision-based technologies, (3) deep learning based depth estimation and high-precision path-tracking control of service […]

Lithium-ion batteries (LIBs) have become a key player in the growing need for electric vehicles (EVs). State-of-the-art LIBs, using liquid electrolytes, still have significant challenges in their safety, lifespan, and energy density. Accordingly, solid-state lithium metal batteries (SSLBs) have recently been attracting increasing research and industrial attention due to their ability to overcome intrinsic disadvantages […]

Herbal oils and oleoresins are components extracted from flowers, bark, leaves, roots, or fruits. These extracts are used as fragrances, flavoring agents, antimicrobials, and therapeutic agents with a market value of more than USD 8.5 billion and 7% annual growth. Steam and solvents are used to extract oils and oleoresins (respectively), but they have limited […]

Hydrocarbon production methods extract mass from the subsurface and consequently change the density distribution. Steam Assisted Gravity Drainage (SAGD) uses steam to enhance the heavy oil in the subsurface which mobilizes it and allows it to be pumped to the surface. Today, we do not know very accurately, where oil is produced and where steam […]

Sitting for long periods of time has negative health effects that could be solved by changing posture throughout the day. The solution lies in the use of sit-stand desks, active seats, and automated reminders to change position. For this purpose, this project focuses on developing software that can intelligently determine a person’s posture using sensors […]

ImmunoBiochem is developing novel anti-cancer therapeutics to address unmet need in intractable solid tumors. Because solid tumors are highly heterogeneous and evasive, recognizing cancerous cells, while avoiding damage to normal tissue, is a challenge. As a result, many targeted therapies quickly come up against resistance, resulting in patient relapses. ImmunoBiochem is solving the issue of […]