Anion Exchange Membranes for use in Industrial Electrolysis Systems for Salt-Splitting

Salt splitting is a technology in which an electrochemical cell containing 2 membranes to transport positive and negative ions, is used to produce sulfuric acid and caustic soda from sodium sulfate, a compound found commonly from industrial brine streams. Salt splitting electrolysis is a sustainable solution for the expanding markets of acid and caustic recovery […]

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Development of a commercial protocol to differentiate human pluripotent stem cells into skeletal muscle progenitor cells (hPSC-SMPCs) with transplantation potential

Recent scientific breakthroughs have led to the development of methods to differentiate human PSCs (hPSCs) into skeletal muscle cells. This has allowed, for the first time, the development of cellular models to study muscle diseases such as Duchenne Muscular Dystrophy and the possibility to utilize these cells for cell therapy applications. However, the reliability, efficiency […]

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Reinforcement Learning for Predictive Sports Analytics

Our project develops novel machine learning algorithms for interpreting complex, multi-agent scenarios in sports analytics. The collaboration with our industrial partner SPORTLOGiQ will tackle open problems in deep reinforcement learning to build novel capabilities in sports analytics for ice hockey. Deep reinforcement learning is a breakthrough technology with prominent successes in games such as Go […]

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Exploring applications of Machine Learning and Quantum Computing in optimization, finance, and the healthcare industry

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 […]

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Visual Inspection UAV in Harsh Environments and Confined Spaces

Preforming regular visual inspections is essential in up keeping structures. These inspections are used to identify defects at an early stage before they pose a major threat. Unfortunately, these inspections require scaffolding or hiring a boom to access certain areas. Other areas are tight and put the worker at risk. The use of visual inspection […]

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A System Dynamics Model of the Continuum of Care for HIV

Operations Research — often referred to as the “Science of Better” — uses Mathematics to improve the efficiency of everything from the operation of airlines to hospitals. In collaboration with the BC Centre for Excellence in HIV/AIDS at St. Paul’s Hospital and Merck Frosst, this project will use Operations Research to improve the treatment and […]

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Artificial Intelligence to Prevent Service failure in Supply Chain

Despite advanced supply chain planning and execution systems, manufacturers and distributors tend to observe service levels below their targets. This can be explained by unexpected deviations from the plan or systems that are not properly configured. Quite often it is too expensive to have planners continually track all situations in supply chain systems at a […]

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Healing the body, healing the brain: Nutrition and exercise treatments for childhood neurodevelopmental disorders

In the absence of a clear set of recommendations from doctors for the treatment of neurodevelopmental disorders (NDD) such as fetal alcohol, cerebral palsy, and autism spectrum disorders, many parents and children affected by NDDs turn to unproven diet- and exercise-based treatments. While some research suggests that such interventions can boost brain functioning, very few […]

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Managing Shared State for Video Games in a Networked Multi-core Environment

Video Games require a vast array of different computations to present the desired experience. These computations must be completed consistently to make the software responsive to the user. The industry trend towards many separate processors (multi-core) in the same physical device and the emergence of network based ‘cloud’ computing have created many opportunities, but also […]

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Game Metrics for Physiology-Based Health Games

In this proposed internship project, a new methodology towards the use of game metrical data to rate player’s behavior and motivate behavioural change will be explored. Together with the Ayogo Games (a game development company which takes special interest in the development of serious and health games, see http://ayogo.com/), a concept for an adaptable game […]

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