The overall goal is to create the backend of a mobile personal organizer that suggests professional events (conferences, colloquia, workshops, exhibitions) and contacts to establish while attending events, to members. Currently, the target audience are professionals in the biomedical domain. Given the need to feed data and meta-data from heterogeneous sources into the application, the […]

Fitness tracking is the process of tracking the fitness-related activity and metrics of a person such as heart rate, distance walked, and consumption of calories. Emerging and specialized wireless sensors and devices also enable the tracking of movements performed during workouts in gyms. This project will help improve the motion tracking experience by reporting workout […]

A log message is a written message that records either events that occur in a hardware system, software runs, or a network connexion. Indeed, log messages are used to detect system anomalies, security vulnerabilities and cyber attacks. Ubitrak is a Montreal company specialized in the field of computer security. It offers various security services, including […]

This research project is part of an endeavor exploring how to design, research and prototype technological advances related to S3D (Stereo 3D) calibration processes and tools, including for DIY and mobile S3D rigs. This project will benefit the company Rampage Entertainment as well as the Canadian filmmaking and new media production community by enabling the […]

Item-to-item and user-to-item recommendations are prevalent on most ecommerce websites and digital content related mobile applications. At Kobo, we strive to constantly improve our recommendation system, which is based on co-purchase patterns on Kobo’s website or through Kobo eReaders and mobile apps. This internship is to explore improving the system along several dimensions: incorporating additional […]

We propose to develop smart algorithms for document generation, by innovating in the field of natural language processing and document intelligence. We envision the next generation of business applications able to parse and understand documents, to compose documents automatically, and to respond intelligently to voice commands. Our industrial partner, Koneka Inc. has a document automation […]

We propose to develop smart algorithms for document generation, by innovating in the field of natural language processing and document intelligence. We envision the next generation of business applications able to parse and understand documents, to compose documents automatically, and to respond intelligently to voice commands. Our industrial partner, Koneka Inc. has a document automation […]

Mathtoons Media, Inc. is a Kelowna, BC based company founded on the belief that students want to be engaged in learning through apps on their mobile devices, and therein lies a significant component of future education. The company has created the Practi app for personalized mobile practice, thus far focused mainly on the practice of […]

3D indoor scenes are ubiquitously needed in the virtual world, e.g. 3D games, movies and virtual reality. These scenes provide the essential virtual environments for 3D characters to perform daily activities and tasks. Current scenes on public available datasets, e.g. Trimble 3D warehouse, are usually clean and well organized, and might not be sufficient to […]

This project is aimed at designing a comprehensive PLC (Programmable Logic Controller) system for the automatic operation and control of three wastewater treatment plants under construction in northern Saskatchewan. We are going to use mathematical modeling to complete this task. In order to maximize the safety level of the operating plant, we will carefully investigate […]

Sketch3 is an experimental software project to accelerate sketching for ideation and in various design contexts, facilitating visualization in both 2D and 3D. The goal is to evolve a paradigm for ideating rapidly with a digital stylus (2D/3D) analogous to the fluid 2D sketching experience on paper. The software is expected to remove much of […]

A large amount of health-related data is available only in unstructured form (“free-form text”). To share this data for secondary purposes, it is necessary to de-identify it to protect against inappropriate disclosure of personal health information (PHI). PARAT Text is Privacy Analytics’ de-identification software for unstructured data. It automatically discovers and marks PHI in a […]