User Profile generation for Mobile Ad Targeting

Personalized ad targeting is one of the most important features to ensure a successful advertising campaign—e.g., F-150 ford pickup trucks are best shown to construction workers than teenage girls. Another important aspect of ad personalization is frequency capping the ads. For example, showing the same ad 100 times to 1 user will result in not […]

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Targeting bacteriophage delivery of reprogramming transcription factor gene(s) to astrocytes in CNS by Intelligent Phagemid-Assembled Gene Expression (iPhAGE) technology

This project aims to develop a method for delivering reprogramming transcription factor genes to astrocytes in the central nervous system using Intelligent Phagemid-Assembled Gene Expression (iPhAGE) technology. By constructing specific gene blocks and fusion helper plasmids, synthesizing iPhAGE DNA, and purifying iPhAGE preparations, the project seeks to enhance transfection efficiency and assess immune responses and […]

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Developing Data Strategies to Enable Healthcare Machine Learning

The project “Developing Data Strategies to Enable Healthcare Machine Learning” aims to develop effective strategies to collect, curate, and maintain data in healthcare. A data strategy which enables Artificial Intelligence (AI)/Machine Learning (ML) models plays a pivotal role in building response healthcare solutions. The project is focused on understanding the fairness aspects of care quality […]

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Path planning algorithm design for autonomous surveillance and coverage task

This project aims to develop a system that improves how robots with restricted operating ranges plan their indoor paths for cleaning or surveying. By dividing indoor spaces into manageable areas, the system will enable robots to complete their jobs more efficiently, optimally covering all necessary ground. This project involves both algorithm development and its implementation […]

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Data Visualization Incorporating Social Collaboration for Asset Management

Through this research project the intern will investigate the potential of data visualization incorporating a social collaboration element tied to typical data types in asset management. The partner organization Riva Modeling Systems will benefit from the proposed research by providing its clients with an enhanced asset management tool that allows various groups or individuals within […]

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McMaster MPP in Digital Society: Telus

(1) TELUS Agriculture, a business unit of TELUS, specializes in providing digital solutions and technology-driven services to the agriculture sector. Its main activity involves developing and offering innovative platforms, software applications, and data analytics tools tailored to the unique needs of farmers, agribusinesses, and stakeholders across the agriculture value chain. TELUS Agriculture’s solutions aim to […]

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Development of normal physiological behaviour classification using multi-modal biomarker dataset towards machine learning-driven medical devices.

This project aims to develop a large, labelled dataset of normal canine behaviour for use in developing machine learning algorithms to detect abnormal animal physiological behaviour. These machine learning algorithms will enable veterinarians to collect high-quality data of their patients in their natural environments. This innovative solution has the potential to improve the quality of […]

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Asset Management using machine learning techniques

Perform an exploratory research to investigate the potential to extract knowledge by aggregating historical data across the company’s clients and applying machine learning techniques on them. The goal is to device prediction models that can forecast the condition of certain events(such as life of pipelines) using statistical analysis. Riva Modeling( partner organization) will benefit from […]

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