Many organisms, such as bone, depend on fluid-filled network structures for cellular transport, signaling and mechanosensing. Bone is made of a network called the lacunocanalicular network (LCN), which consists of lacunae that house osteocyte cells connected together by a network of 300-nm wide canals called canaliculi. An understanding of this vast network is incredibly important […]

In recent years, weather has been recognized as an important factor that can have a significant impact on consumer behavior in certain industries. Predictive models that incorporate weather data can help industries to adjust their inventory and marketing strategies to optimize sales. This research project focuses on using machine learning and data analytics to determine […]

A typical language test usually consists of four parts: speaking, listening, reading, and writing. Both audio and text data from the test takers will be collected and used by the automated scoring system. During the test, some test takers will intentionally/unintentionally provide abnormal answers, which may contain memorized content, repeated sentences, and meaningless or off-topic […]

Contaminants of emerging concern (CEC) have negative impacts on human and ecosystem health as well as the potential to develop antimicrobial resistance which is projected to result in 10 million deaths annually by 2050. Some examples of CECs include antibacterial agents, artificial sweeteners, and pharmaceuticals. Recently, the presence of these CECs has been found widespread […]

There is increasing urgency to accelerate sustainability progress and address growing social and environmental challenges. Current approaches to solving these complex issues, such as new technology and governance, are failing to support the kinds of changes needed to collective wellbeing. Interest is growing around how individual values, worldviews, beliefs, and consciousness can be transformed so […]

To validate structured trade contracts for language and economic term correctness, the existing document understanding systems use machine learning methods, natural language understanding, and text analysis, to extract data elements from financial documents. This can be expanded to a wide variety of financial documents, especially customer-provided reference material. The project focuses on document information extraction […]

Sugarcane is native to the warm temperate, tropical regions of the world and is highly weather dependent. Recent climate change has hampered its growth, resulting in reduced yields, forcing farmer to adapt different practices in Costa Rica. There are four main phenological and development stages in Sugarcane. This project is focused on the maturation process […]

The proposed research project focuses on improving winter wheat production in Northwestern Ontario, a region with a short growing season and unpredictable climate. Farmers must select optimal planting dates for winter wheat for maximum production and it is challenging due to the number of growing days and planting depth before winter. Hence, the project aims […]

MAE Robotics Inc. is working on a unique robot system called Captive Trajectory System (CTS) for supersonic wind tunnels. The robot will move aerodynamic models and prototypes inside the tunnel to measure and simulate their motion trajectories. This research project will focus on developing and implementing the appropriate robot control architecture, various redundancy resolution schemes, […]

The partner company (AMD) is a major innovator in the field of computer graphics and visualization, they manufacture Graphical Processing Unit (GPU) which are used by many gamers around the world. While playing video games, gamers tend to perform out-of-band actions such as saving the last few minutes of gameplay after a challenging fight in […]

Of the five mass extinction events preserved in the fossil record, the Ordovician-Silurian mass extinction (the so-called “first mass extinction”) is unique in that it had extremely limited long-term impacts. Despite eliminating over 50% of all species on Earth at the time, shallow marine communities around the globe rapidly recovered, providing scientists a unique opportunity […]

This project supports relationship development with First Nations communities in British Columbia to facilitate collaboration on a larger flood-risk reduction project, which focuses on integrating Western expertise in architecture, engineering and social science with Indigenous Traditional Knowledge to create a new, collaborative approach for flood risk reduction in Indigenous communities in Canada. Relationship building prior […]