Long term modelling of power prices

Power prices are a significant contributor to the overall risk of almost any large-scale industry. In particular, energy companies such as TransAlta who are active participants in many regional power markets have a strong interest in understanding the long-term risks they are exposed to. This project seeks to develop a model that will help TransAlta […]

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Development of Efficient Cathodes for the Chlorate Process

The proposed project focuses on the research & development of efficient electrode materials for use in the Chlorate Process that produces bleaching agents used in the pulp & paper industry. As an electrochemical process, significant portions of the production costs of chlorate are attributable to electrical power consumption; therefore, improvements in energetic efficiency would result […]

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Data Mining of Urban Mobility Pattern Using Taxi Trajectory Data

Urban mobility results from human movements from one region to another for interaction such as working, trading goods and other social events. Urban mobility has caused not only urban prosperity, but also some problems in the urban system, such as congestion, air pollution, energy consumption, public health and disease transmission. Therefore, understanding urban mobility is […]

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From Data Collection, Cleaning, Integration and Management to Analytics, Prediction and Recommendation

Individuals (donors) wishing to donate funds to non-profit and/or charitable organizations want to know how the organizations operate and how effectively their donations are used. Dexterity has developed an online service called Place2Give which aims to answer those questions. The research project aims to employ social network analysis and data mining to enhance the data […]

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Dynamic Bracing for Pectus Carinatum: A Quantitative Analysis

The most common solution to pectus carinatum is surgical. As braces begin to be developed that have been seen to reshape the chest successfully it becomes important to understand the effectiveness and optimal design thereof.Braceworks, has managed to create a low profile prototype brace which contains a protocol on how long to wear the device. […]

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Machine Learning developer intern working within cross-functional teams to develop and commercialize AI-powered solutions in the Public Services sector – AltaML

The project comprises internships in a variety of technical and business roles within our organization and within our GovLab program. Within the organization, roles include associate machine learning developer, business development associate, communications associate and finance associate. Within GovLab specifically, roles include associate machine learning developer, associate business solutions consultant, and project delivery associate. The […]

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L2M – Robotic Venipuncture System for Automated Blood Collection

Venipuncture is a widely performed yet error-prone medical procedure, posing risks to both patients and healthcare workers due to reliance on visual inspection and palpation for vein access. High rates of needlestick injuries, repeated insertion attempts, and challenges with difficult patient populations highlight the need for safer, more reliable solutions, especially amid workforce shortages and […]

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L2M – AI-Powered Microwave-Based Biosensor for Clot Formation Assessment

This project aims to develop an innovative biosensor that can continuously and non-invasively monitor clot formation in whole blood or plasma in real time. By combining microwave-based sensing technology with artificial intelligence, the system provides accurate, real-time information on coagulation dynamics without the need for complex laboratory instruments. The technology will help healthcare and biomedical […]

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Scalable Quantum Computing – Part B

Ruken Family Office Corporation is an investment firm specializing in data-driven strategies, risk modeling, and computational finance. As financial markets become increasingly reliant on high-performance computing, emerging technologies like quantum computing have the potential to reshape computational methodologies. However, the scalability and practical viability of quantum computing remain uncertain. This project aims to identify which […]

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Development of a microbe granulation technology for the increased treatment of organic wastewater, removal of emerging containments and digestion of sludge

Today we are failing to properly and completely treat organic wastewater which results in large amounts of sludge buildup and many untreated emerging contaminates that are shaping and changing our environment. If we ignore this problem: we will see an increased need for resources to development new and very expensive mechanical processes to manage sludge, […]

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L2M – Portable Ultrasound AI for On-Farm Beef Carcass Grading

We’re developing a user-friendly, portable ultrasound system with built-in artificial intelligence to measure important beef carcass qualities like marbling, backfat, and ribeye area directly on the farm, in real time. This system includes a handheld scanner that connects to a small device. The device instantly analyzes the ultrasound images and shows straightforward results on a […]

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