Majorana fermions in Josephson Junction

It has been theoretically demonstrated that Majorana fermions in superconducting system obey non-Abelian statistics, which is the most promising platform for topological quantum computing. The success in this search might ultimately prove essential to overcoming one of the grand challenges in the field—the synthesis of a scalable quantum computer.In this project, we aim to generate […]

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Removal of Cyanotoxins in Surface Waters Using Ozone & Advanced Oxidation Processes

Cyanotoxins, produced by blooms of cyanobacteria, have been a cause of concern, as they have the potential to compromise animal and human health. Because of increased nutrient loading and climate change, occurrence of cyanobacterial harmful algal blooms and their toxins are increasing globally. The presence of these compounds in the Great Lakes and other water […]

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Validation and Usability Analysis for a Return to Work Software Platform

Benefit payments totaled 2.5 billion dollars for Ontario workplaces in 2015. The most common injury resulting in occupational lost time claims is a strain or sprain. These injuries indicate that despite massive efforts to reduce musculoskeletal injuries in Canadian workplaces, these issues are still a prominent source of disability and have an associated $2.5 billion […]

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Voice Cloning Optimization

An artificial intelligence tool that is capable of generating natural-sounding speech can be embedded into many valuable services such as conversational agents for the disabled and conversational assistants. Such tool, when equipped with the capability of mimicking individuals’ vocal characteristics, will improve personalization of these services. In this project the intern will seek to develop […]

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Machine learning modelling of temporal enterprise data

In a few words, this is a fintech data analysis project. The idea is, given temporal data of financial nature, to build algorithms that predict its evolution over time. For instance, the data could be certain assets prices, or customer buying history. The objective would be to respectively predict this asset price in a close […]

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Prediction of Optimal Business Structure for Tax Efficiency

With the growing relevance of data, PwC has embraced Data & Analytics as part of its culture. The Tax practice, specifically, strives to bring value to market by empowering domain experts with automation and data-driven services. Among their initiatives, the Tax Technology team is investigating methods to evaluate the quality of corporate tax returns (T2). […]

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AI solutions to patient-physician engagement

The goal of Engagement Intellect system (at Deloitte) is to use conversations between patients and physicians and convert them into useful information. This is done using recent advancements in artificial intelligence technologies that can automatically extract symptoms, medical history, and other relevant information from the voice recordings. Besides extraction, the project will focus on associating […]

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Talent Mobility for Innovation & Growth: Case of Shanghai

States worldwide compete in an intensifying race for talent, mainly for professionals in Science, Technology, Engineering, and Mathematics (STEM). This project investigates how government and industry actors at the level of technology clusters (Shanghai) are able to use existing regulatory frameworks to attract and retain global STEM talent. Although China has relied on ethnic returnees […]

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Communication in the presence of indefinite causal structure

A telephone call consists of two communicating channels: Person A talking to Person B, and Person B talking to Person A. The two channels need to function in turn for the two to understand each other, and it usually results in confusion when they talk simultaneously. In this latter case, we say that there is […]

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