Problem detection and aerial mapping for construction site management

On time discovery of problems and constant monitoring of construction sites have great economical benefit. It requires the capability of highly efficient and accurate object detection and segmentation algorithms that can work with coarsely labelled training samples. The project is aimed to develop new learning-based object detection and segmentation algorithms for problem detection and mapping […]

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Manufacturing and stabilization of nanocellulose in a scale up process using functional maleates as a colloidal dispersion

Cellulose nanocrystals (CNC), a form of cellulose, shows a lot of promise in the development of sustainable materials thanks to its unique properties such as high performance, large surface area, is readily available, renewable, and biodegradable. Early methods to synthesize CNC have not been very successful. In order to isolate CNC, to make them ready […]

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Applying Machine Learning to Predict Demand Transference

The project will help us design a machine learning model that can determine the demand transference of our customers. The key objective of this project is to design, research, build, and experiment with machine learning models to ensure low product waste and high customer satisfaction. The model will have several impactful applications across the organization.

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Multi-morbidity Characterization and Polypharmacy Side Effect Detection for designing Optimal Personalized Healthcare with Machine Learning

Despite a significant improvement in healthcare systems over the past decades, the rapid growth in the number of patients with multiple chronic diseases – called multimorbidity – stands as a complex challenge to healthcare services that are primarily designed to treat individuals with single conditions. Advances in machine learning as well as in computing power […]

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Estimating Battery Key Performance Indicators and Forecasting Battery State-of-Health Using Machine Learning and Neural Networks Techniques

SOTI Inc. is a Canadian company providing control and management for mobile devices. Insight Agent is a product made by SOTI to help collect various battery specifications such as battery level, voltage, current and other metrics from mobile devices. This research project aims to use a machine learning and neural networks framework to predict the […]

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Machine Learning for Cancer Treatment Plan Benchmarking

Oncology specialists are few in numbers and cannot be present within every hospital or clinic providing their guidance and support. There are institutions in this world with oncology experts that can provide the best possible care and the knowledge of these experts is stored in medical case files within the hospital. With the power of […]

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Evaluating Team Unbreakable: A learn-to-run program for adolescent mental health

Given the rise in adolescent mental health concerns, Canadian secondary schools are increasingly focused on implementing programs aimed at improving mental resilience in students. One such program is Team Unbreakable, a 10-week, learn-to-run program that is based on four theoretically driven program components: goal-oriented, group-structured, within the school context, and physical activity based. This program […]

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Multi-Channel User Linkage through Probabilistic Matching

People utilize multiple devices to complete various tasks, making their online identities fragmented. Advertising is as much about knowing when not to promote a product as it is about when to do it. For example, before being sent alcohol and cannabis ads, the user must be identifiable as being over 19. Age information may only […]

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Real VR Hands and Interaction with Virtual Objects

Serving as the most widely-used body part for communication, hand is a very important tool for human to interact with the world. Especially with the continuing development of virtual reality and augmented reality, hand pose information has gradually become an indispensable component for improving users’ experience in interacting with computing devices. Therefore, this project aims […]

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Interfacing Data and Power: Serious Gaming in the Experimental Humanities

As a teaching fellow of the Pelion Summer Lab for Cultural Theory and Experimental Humanities I will be collaborating with scholars in the digital and experimental humanities to co-lead a methodologically-focused, experimental workshop to produce and publicly stage a ‘serious game’ related to this year’s lab theme, Data & Power. Serious games are a genre […]

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Express Scripting Technology: Scratch for SOTI SNAP and IoT

SOTI has developed a software product called SOTI SNAP that is designed to allow anyone to create an app with no programming or technical knowledge. SOTI SNAP allows users to drag and drop widgets onto a canvas and connect them together to create an app. Apps generated with SOTI SNAP have cross platform capabilities, they […]

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