Data mining and personalized recommendation for an online luxury fashion retailer

The September is an online luxury retailer. In this research project, we are going to design and implement a personalized recommender system to enhance customers’ online shopping experiences. The past transaction data and browsing history as well as the demographic information of customers will be analyzed to identify the purchasing patterns, shopping trends and user […]

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Analysis of factors impacting views and revenue of digital assets on YouTube

This research project will focus on factors increasing viewership and revenue on Boat Rocker Media’s digital assets on YouTube. Combination of datasets from various sources such as YouTube revenue reporting, YouTube data and analytics Application Program Interfaces (API’s), and social media will be used in an explanatory analysis and statistical modeling to get new insights. […]

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Classification of radiological observation through image-sentence association

Imagia is an AI-driven personalized healthcare company, enabling collaborative development of predictive biomarkers. Its Evidens platform unites deep learning expertise and clinical insights on federated patient data from partnered hospitals & AI research institutions. Imagia delivers impactful solutions to healthcare providers, pharmaceutical companies and medical device manufacturers. Imagia’s mission is to leverage advances in artificial […]

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Kappa architecture serving layer suitability

Global service providers in highly regulated financial sectors must accommodate an ever-changing, sometimes competing, landscape of regulatory and business concerns. This project seeks to define a technology infrastructure design that supports current and anticipated data privacy and data residency concerns, making it possible to keep data within borders while still facilitating collaboration across those borders. […]

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Examining Media for Fraud Detection

Nowadays a corporation’s public image plays a major role in that company’s decisions and financials. This project involves predicting fraud and errors within the financial statements of publicly traded companies. The goal is to incorporate information such as press releases and industry media coverages to provide an insight to these companies under audit and their […]

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An Artificial Agent for Light Switch

Ecobee is a home automation company that makes thermostats for residential and commercial use. Smart lights are the second-most desired home automation devices after thermostats, but being able to remotely control the lights is only a small part of the vision. ecobee light switches have embedded microphones, a speaker, and far-field voice technology that allows […]

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Computing algebraic relations in multivariate settings

The aim of this project is to design fast computing a fundamental mathematical object called algebraic relations, particularly on Pade approximants and multivariate interpolants. This is motivated by numerous important applications, within computer algebra itself and in related fields such as cryptology, coding theory, and polynomial optimization. The goal is twofold: first, to design algorithms […]

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Evolving data storage design for a highly regulated financial sector.

Global service providers in highly regulated financial sectors must accommodate an ever-changing, sometimes competing, landscape of regulatory concerns. This project seeks to determine a reasonable path forward in technology design and adoption to accommodate current and anticipated data privacy and data residency concerns, making it possible to keep data within borders while still facilitating collaboration […]

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Using behavioral biometrics to continuously authenticate an individual

The Nymi band is a unique wearable that authenticates the wearer using biometric data to provide continuous authenticated presence in smart environments. Nymi enables wireless user proximity & presence solutions, removing the need for physical interaction with IoT, mobile and computer applications for identification, non-repudiation, personalization and intent for any transactions. Similar to a lot […]

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Early detection of Alzheimer’s disease symptoms using speech longitudinally

An early symptom of Alzheimer’s Disease is difficulty in remembering recent events. These trends are reflected in problems in language and patterns of speech. Speech patterns of an individual can hence be used to determine the trajectories of preclinical cognitive decline. The difference in the cognitive trends over subject groups, analyzed using speech data collected […]

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Operating Room Traffic Assessment: A Video Analysis Approach

Surgical Safety Technology aims to improve operating room safety by capturing and analyzing operation videos. Usually, operating room traffic (like people displacement) has a huge impact on surgery. Unnecessary movements can cause distraction of surgeons and pollution of the sterile environment. This project applies computer vision models to detect and track people movements in the […]

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