RVezy is a technology company that brings explorers and RV Owners together: Think Airbnb for RV’s. This project will involve two main components, both driven by AI and analytic solutions: 1) Search Optimization: Improving RVezy’s search algorithm to better tailor their customer experiences. 2) Marketing Spend Ratio: Integrating shallow machine learning models to improve return-on-marketing-investment. […]

SkipTheDepot is a door-to-door bottle collection service based in Calgary which allows users in Calgary and Edmonton areas to request bottle recycling pickups, and the COVID 19 pandemic has caused demand for these services to increase. In order to meet rising demand, it is important to develop a clear understanding of how the service is […]

This project will build on the work previously completed in the MITACS project done by Dr. Michael Bauer, Omid Mola and Cyborg Trading Systems (CTS) – Integration of an Autonomous Trading Platform. The previous project formed the foundation of developing an autonomic system in an algorithmic trading application. The initial project was successful in determining […]

Le projet en question est de type Design Science. Il éclot dans un contexte d’expansion où le système d’information (SI) de l’entreprise expose ses limites. Plus spécifiquement, son caractère manuscrit lui proscrit coordination et automatisation : coordination car l’information demeure figée sur feuille et donc inaccessible à des parties éloignées; automatisation, dans la mesure où […]

Materials with different sizes, shapes, or materials come into the process every day, they need to be sorted, placed, and usually fed into a machine for processing. Traditionally, this task is very hard to be automated because of the non-fixed position of the part and frequent part changes. For this random bin picking project, we […]

As online educational platforms and blogs such as Coursera, Edublog, Korbit Technologies Inc. etc. are becoming increasingly popular, a great way for students to learn is to solve QA problems on educational texts. Students also learn by getting answers to their questions. Since manual QA generation of huge content of educational texts seems impracticable, an […]

To improve traveller services in train stations, SNCF and Keolis Canada seek to develop a mobile application for real-time geo-localisation based on still images captured by the user on its smartphone. This would allow guidance through the station and provide key information. This project will develop a Deep Learning (DL) model for accurate and real-time […]

Financial data are known to be generated from complex distributions, often assumed to be changing over time. The aim of this project is to build a simulator of multivariate time series, parameterized as simply as possible by a user, with the freedom to build different models, to assess their general behavior and key properties. This […]

The main objective of this project is to address Goal One of the AGH Strategy for Future Success; Improving information management and systems integration for greater collaboration, efficiency and effectiveness. The goal is broken down into three enabling strategies which include; develop and implement an enterprise content management strategy; look at ways to improve system […]

Video Games require a vast array of different computations to present the desired experience. These computations must be completed consistently to make the software responsive to the user. The industry trend towards many separate processors (multi-core) in the same physical device and the emergence of network based ‘cloud’ computing have created many opportunities, but also […]

This research focuses on the development of machine learning and natural language processing techniques for adaptive chatbots that can converse with users and learn about the world. The outcome will be a generic bot that can be instantiated with different personalities and knowledge bases to entertain users of the popular Kik messenger about different topics. […]

This research project is part of a bigger initiative driven by Tangente AI and BusPas that fits into the context of intelligent mobility within “smart cities” and is focuses on improving the urban logistics services for the transport of citizens/passengers. More specifically, by leveraging on the Internet of Things (IoT) technologies and applications, within the […]