In recent years, deep learning has led to unprecedented advances in a wide range of applications including natural language processing, reinforcement learning, and speech recognition. Despite the abundance of empirical evidence highlighting the success of neural networks, the theoretical properties of deep learning remain poorly understood and have been a subject of active investigation. One […]

The proposed project includes 2 objectives: (1) provision of high quality evidence on the effect of specific food sources of sugars on cardiometabolic risk factors by conducting multiple systematic reviews and meta-analyses (SRMAs), to address the effect of replacing sugar-sweetened beverages with either diet pop or water in a randomized controlled clinical trial, and to […]

Workplace injury prevalence and cost have created an immediate need for ergonomics risk assessment tools that require minimal ergonomics training, rooted in a foundation of experimental research, and provide comprehensive outputs that give some indication of risk and required action. Observation-based tools have been widely implemented in practice due to their simplicity, accessibility, and cost- […]

This project will result in the expansion of an athlete-focused genetic test to include additional genetic markers and algorithms for the purpose of personalized caffeine advice for endurance and other forms of exercise (strength, power, anaerobic-power) through continued analysis of 23 caffeine-associated genes that affect an athlete’s response to caffeine (positive, negative or no effect). […]

Kids with one, two or three or more disabilities require special care and rehabilitation services. Specifically, for children with severe disabilities who are non-speaking, the opportunities for social interaction and participation are often limited. However, it is believed that these children continue to form relationships with those around them and that the brain encodes these […]

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 […]

This project will develop a hybrid framework by integrating AI and machine learning methods with tabular information extraction and semantic modeling to improve the state-of-the-art precision and recall in tabular detection while maximizing the value of extracted information for industrial applications. Following a properly designed pre-processing stage to improve the outcomes of AI techniques, the […]

Voices.com, the largest online marketplace for voice talent, have identified Machine Learning as an enabler for future growth. In particular, incorporating Natural Language Processing (NLP) into structured queries and automatic classification of sample recordings. The first phase of this research involving NLP is in the process of being integrated into production. The second phase will […]

The charango is a small guitar like instrument iconic to Andean music of South America. Like many other instruments the charango has travelled to other cultural environments. However, even in these circumstances the charango has for the most part not become a significant presence in other musics. In this practice-based research project, I will introduce […]

Human activity near lakes can have a profound impact on the state of the lake. When nutrient-rich pollution enters the lake it can cause toxic algal blooms, decreased oxygen levels, a loss of diversity, fish kills and degradation of water quality. Aquatic plants may limit nutrients in run-off from entering the main lake. Aquatic plants […]

This project examines the type of refugee sponsorship groups, their relation to the sponsored refugees, and the challenges and successes that they have faced. This is primary research, using the data that is at this point available but not organised by the partnership organization. It will benefit the partnership organization in giving it an overall, […]

The goal of this project is to use naturally occurring bacterial partners to improve the flavour and nutritional properties of plants grown in hydroponic and aquaponics systems. This study will investigate ability of plant associated bacteria to alter the metabolic profile of select vegetables and leafy greens. Vertical farming is an increasingly popular solution for […]