When construction equipment digs, this generates a complex set of physical interactions between the machine and the soil. Being able to accurately simulate such interactions in real-time opens the door to improved operator training and even adaptively-tuned digging operation that optimize the energy-efficiency of construction equipment. With recent advanced in artificial intelligence (AI), this is […]

Eli Health is developing a novel biosensing device to monitor sex hormones in saliva and a mobile application that leverages machine learning to interpret them. The mission of the organization is to enable women to take control of their health across their lives. It will first commercialize the device for fertility and contraception applications. In […]

This project aims to develop a retail demand forecasting model that can both handle the long-term and short-term forecasting, and adjust its parameters as more data come in. General long-term prediction models are relatively precise because the context often remains same over time, but can not quickly adapt to unforeseen events, like the global pandemics. […]

We will develop a conversational assistant that can answer Canadian employee and employer questions about Covid benefits. The assistant will ask the user a minimal, easy-to-understand set of questions to help them figure out whatever benefits they are eligible for and will direct them to the relevant sites for applying for these benefits. The partner […]

Existing HVAC system design may be contributing to the spread of viruses such as COVID-19 with transmission through ventilation systems. Many HVAC systems recirculate up to 85% of the air, can have cross-contamination of the exhaust air stream with the supply air stream and virus transmission is more likely to occur when the relative humidity […]

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In recent years, many machine learning methods have been developed for predictive analytics and automated decision making. However, the lack of explanation resulted in both practical and ethical issues. In this project, we will employ and advance interpretable machine learning methods for various predictive analytics tasks in employee benefit insurance. The proposed methods can be […]

To mitigate risks of global malnutrition, hunger, and conflict; food production should become more efficient and sustainable. Controlled Environment Agriculture (CEA) can produce higher yields at reduced spatial and environmental footprints. This control improves management of key elements like water, nutrients, and nutritional outcomes. These advantages come with a cost however; of which energy is […]

Lithium-ion batteries have revolutionized electronics over the past two decades, however, they do not have sufficient energy density to meet the long-term needs of society, such as the development of electric vehicles. This formidable challenge has driven research into many new battery technologies with different chemistries and configurations, but it remains unclear which technology is […]

MITACS interns at 1QBit will aid in the research and development of experimental usage of quantum and classical hardware devices for industry use including, healthcare, finance, advanced materials, and optimization. Interns will have the opportunity to work alongside academics and research teams. MITACS interns will gain the practical experience of applying their knowledge for industry […]

Despite its growing prevalence of chronic musculoskeletal disease in society, its cause is still poorly understood. Emerging research suggests that degenerative spine disease may be an important facilitator to the development of chronic inflammatory musculoskeletal disease. We aim to investigate the effect of degenerative spine disease on muscle inflammation, pain and dysfunction by using an […]

…with bonded and unbonded prestressed carbon fiber reinforced polymer (CFRP) plates. The overall objective of this project is to enhance the strengthening efficiency of prestressed hollow-core slabs (PHCS) by using prestressed CFRP plates. More specifically, this project aims to investigate the behavior of the PHCS elements strengthened with prestressed CFRP plates. The application of the […]