Exploring the state of the art deep learning algorithms in computer visionand voice recognition for applications in RF signal processing

Drones popularity has been rapidly increasing for a wide class of applications including commercial delivery, photography, fire-fighting and environmental monitoring due to their low cost and high commercial availability as unmanned aerial vehicles. In the light of this growth, anti-drone technology has become a significant research topic of investigation due to unauthorized flying of drones […]

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Studying Gameful Design for Bite-Sized Information Consumption

MLD Solutions are facing the challenge of creating engagement with their online platform Mozaik.Global that allows users to create, distribute, and sell interactive digital content. This content is created in bite-sized units, currently visualized as cards. The key problem with this new type of digital content is that the company currently does not know how […]

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Topologies and Linearization of High Peak-to-Average Power Amplifiers for Digital Broadcast Radio Applications

Broadcast radio is changing from an analog medium based on frequency modulation (FM) to a full digital broadcast based on orthogonal frequency division multiplexing (OFDM). The high peak-to-average power ratio of the OFDM waveform requires different power amplifier topologies and a high degree of linearity. The research in this project analyzes current amplifier performance for […]

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Algorithmic and Interface Advances in Computer Algebra

Computer Algebra Systems (CAS), with their unique ability to analyze and solve mathematical problems, are gathering new communities of users, who challenge them with more and more complex tasks. It is necessary, therefore, that the core engines of CAS implement state-of-the-art algorithms. At the same time, CAS need to build new bridges to specialized software […]

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Modeling and forecasting the popularity of YouTube videos

Many YouTube content owners currently make money from their videos by allowing YouTube to display ads next to them. For these content owners, increasing the popularity of the video leads to more revenue, and therefore it is of great importance. The purpose of this project is to design an algorithm to predict the popularity of […]

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Community Engagement Strategist

Simbi is an online platform designed to help students improve their reading comprehension and fluency gains. As the community engagement strategist, I am responsible for outreaching to Simbi’s stakeholders and pursuing potential partnerships. Specifically, I will be working with Holocaust survivors and First Nation communities to upload their stories to the platform, and obtaining celebrity […]

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Sales Strategist

Understanding that “class as usual” is now a relic of the past and that schools have rapidly adopted technology-first teaching approaches, ideal interns will assist in conducting market analysis to gather insights surrounding the new distance learning landscape. This analysis will require interns to meaningfully connect with our community of more than 18,000 educators to […]

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Marketing Coordinator

The intern’s primary activity will be developing Flywheel’s go-to-market strategy & materials for potential clients. This will include working on positioning, writing case studies, updating proposals, and performing customer interviews. The intern will also provide marketing support for Flywheel’s clients when relevant. This may include reviewing online ads, updating websites for SEO, supporting with research […]

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Product development

1) Analyze incremental markets for Eli’s real estate product. Determine how to effectively establish the sales strategy, then test and implement a marketing plan in collaboration with Eli’s CEO and COO. 2) Examine the public health and resource sectors’ pain points as it pertains to implementing AI tools. Assess the size of addressable markets and […]

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Applicability and Utility of the PHEMI Secure Clinical and Multiomics Platform for Precision Medicine

Advanced prostate cancer (PCa) manifests as metastasis and metastasis is the leading cause of death for PCa patients. The underlying mechanisms remain poorly understood. We hypothesize germline variants may modulate a tumor’s propensity for metastasis. If validated a saliva or blood based test could be developed to predict risk of metastasis. Our objectives are: (1) […]

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