Optimized operational strategy planning model for Smart Net Zero Community

Due to some complex technical problems, both power plant’s generators and local grid transmission lines do not have the potential to generate and transmit enough electricity to cover and meet all load demand during peak hours. Based on this technical difficulty, there is no solution for customers to use costly energy during peak hours and […]

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Modeling Application Performance under Multi-Instance (Multi-Stream) Execution Scenarios

Multi-stream execution is a technique in GPUs that allows multiple operations/kernels from the same program to effectively use GPUs without explicitly stating the affinity of threads to the cores. Several recent optimizations in Machine Learning (ML) algorithms leverage multi-stream execution. While performance modeling of ML applications is well studied under single-stream execution, performance models of […]

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Ubiquity: Intelligent Supply Chain Management

The intern will first determine which one of the two modules in the Ubiquity product is more likely to be improved using the machine learning and deep learning methods, and then implement the proposed method or research on other methods. To improve the sensitivity of the pricing and promotion module towards the small price changes, […]

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Multimodal Geolocation and Traffic Management in Healthcare Centers

Throughout the COVID-19 pandemic, there has been an emerging need of using new advances in information and communication technologies (ICT) to improve our healthcare system to manage a massive influx of patients. Indoor geolocation techniques and optimized traffic management algorithms are substantial for serving a large number of patients in healthcare centers while respecting procedures […]

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Market 360 AI: AI-enabled Discovery of Customer and Market Insights

Organizations across various industries struggle to deliver personalized offerings and expanded access for target populations. Developing sub-population profiles will help identify priority sub-populations with the greatest potential to benefit from personalized support and intervention, and inform the development, targeting and delivery of personalized offerings. The objective of this research project is to enhance Deloitte’s Market […]

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The Automation of System AssemblyRecognition

Traditional 3D reverse-engineering and prototyping involves 3D modeling and manual parts recognition. With the advent of 3D scanning technologies, it becomes possible to automate this workflow. This research internship aims at creating a novel mechanism to automate the process of assembly recognition, as part of a new workflow of 3D interactive prototyping. The research will […]

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ESG Automation for Sustainable Enterprises (EASE)

ESGTree is an Environmental, Social, Governance (ESG) data management platform for investors and corporations. Collecting, aggregating, and reporting ESG data is painstakingly inefficient for private capital investors. The ESGTree platform sets up individual client systems in a way that it will cater to all their investors and all the standards they need. The project ESG […]

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Evaluating communications methods and efficacy, Rescue Lake Simcoe Coalition

The Rescue Lake Simcoe Coalition would like to expand the demographic reach of our organization in order to better represent the Lake Simcoe community. The people who care about Lake Simcoe are a diverse set. There is a need to broaden our tent by making our messaging more appealing to more demographics. Those include fishing […]

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PLAN PARFAIT / PERFECT PLAN : L’habiter entre l’idéal et le pragmatisme

Comment réconcilier l’idéal du ‘plan parfait’ avec la problématique pragmatique de l’habitation? Ce projet explore la rencontre entre deux aspects fondamentaux de l’architecture résidentielle – entre l’architecture comme manifestation formelle et spatiale des idées pures, et l’architecture comme réponse pragmatique aux problèmes spécifiques de l’habitation. Le projet examine la problématique de l’habiter et les réponses […]

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