Making Data Science Easy for Everybody

Open science is the concept of freely sharing data to the public. With large-scale data becoming more easily accessible to everyone, it is important to create a platform where the public can visit to analyze and interpret data. And although open science increases the accessibility of data and reports to the public, it does not […]

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Marketing Project for Admission Advisors

Admission Advisors is an international student recruitment agency founded in 2004 located in Toronto. They mainly recruit students for over 40 different educational institutions across Canada. Their key main focus areas are academic advice & counseling. They provide academic advice to students including information on courses and programs offered by their partners’ institutions. By working […]

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Silicone-mounted fiber-Bragg grating sensor for cardiac pulse-waveform monitoring

Cardiovascular disease (CVD) is a major cause of morbidity and mortality internationally. Current CVD diagnostics are limited to basic tools that provide a generalized number without quantitative indication of overall health, such as blood pressure, or lifestyle risk scores. More invasive diagnostic imaging can be done, but at great cost to the healthcare system. We […]

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Saccade Concussion Diagnosis System

The underlying technology will leverage artificial intelligence (AI) to analyze oculomotor (eye movement) data to learn and extract human translatable features/symptoms of concussion. The software is computationally light-weight that is capable of running on portable hardware with minimal computational power. The intern will examine the system’s commercialization by conducting interviews with potential customers and identifying […]

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Improving glycerol utilization in E.coli for heme biosynthesis

Heme is a naturally occurring molecule found in our blood and as well as in animals, responsible for carrying oxygen throughout our body. Interestingly, heme has been commercially used in various products such as in cosmetics, nutraceuticals, and food. The traditional production of heme however often involves animal slaughter and harsh chemical processing, which is […]

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Machine Learning for Auto-Scaling Corda Node Containers

We are looking to drive the operational cost down for Corda R3 nodes. Corda R3 is a smart-contract Distributed Ledger technology. Our strategy is to do so by minimizing the cloud computing resources. Using machine learning and historic data we can proactively orchestrate a large number of nodes on behalf of our clients. The interaction […]

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Agri-food processing opportunities for Indigenous farmers -Optimization of fish waste fertilizer sourced from local integrated multi-trophic aquaculture (IMTA) operations

Integrated multi-trophic aquaculture (IMTA) is a technique by which the environmental impacts are minimized while efficiency is increased. However, these aquaculture activities can put a strain on their surrounding environment, as operations encroach on valuable wetland areas, act as a stressor on local water resources, and effluent waste can increase the concentrations of pollutants in […]

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Invivo and insilico evaluation of multi organ variability for the detection of critical physiological changes of patients in Intensive Care Units

The project focuses on the characterization of the evolution with time of the properties of physiological signals recorded in different clinical settings, describing sepsis shock and other clinical complications that are common features in Intensive Care Units. Changes in heart rate, respiratory rate, blood pressure and oxygen saturation will be studied through an array of […]

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An image-guided, highly tunable hydrogel delivery device for novel minimally invasive therapies

Minimally invasive treatments have greatly changed the clinical landscape for a variety of disorders. A catheter is navigated through the body to the target site where a multitude of interventions can be performed, including drug delivery and therapeutic embolization and in the near future delivery of tissue-engineered constructs. However, there are still limitations for treatment […]

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Conditional Flow-based Speech-Driven Gesture Synthesis

Speech-driven gesture synthesis is the process of automatically generating relatable and realistic gestures given speech and high-level attributes such as speaker’s style. It is an active research area with applications in video games, animated movies, communicative agents, and human-computer interaction. Commonly, a database of gestures is manually created which are then triggered at different times […]

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Intelligent Query and Learning System (IQLS)

Intelligent Query and Learning System (IQLS) is a web application that offers a platform for a business owner, product seller, service provider, doctor, engineer or anyone with a goal of providing service to their client or audience. Using this platform, an individual can train the system with information related to their business, service, or product, […]

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