This project investigates whether a user’s entered information in e-commerce sites is fake or real. In order to achieve the goal of understanding and identifying fake users, data are to be collected, managed, and analyzed. In addition to using existing data from the e-commerce partner organization and some third-party data if available, the two major […]

This project will develop a loss of balance detection system to enhance the iMD Research Vital Zenzer, which monitors vital user biometrics. Accelerometer signals from both waist and wrist-worn body locations will be analyzed to obtain key inputs for Machine Learning and AI algorithms. Such algorithms will be developed to adapt to changing user conditions […]

Scientific research papers are complex, dense, and filled with jargon, so traditionally the valuable knowledge they contain has been accessible to only a handful of experts. SAGE publishing, one of the world’s largest academic publishers, and Dr. Adam Frost, a cognitive neuroscientist, independently created video formats that help scientists directly communicate their discoveries and practices […]

This project will engage seniors, family members, and care staff, a total of 53 participants in a long-term care home to adopt a new technolopgydevice, Tochie for familyconnection. Participants will use the assistive audio speakers named Tochie over one month. Ongoing support and assistance will be provided to all participants during the one month to […]

Korbit Technologies Inc. is developing an e-learning platform to teach artificial intelligence (AI), data science and coding skills. The student interacts with a virtual, personalized AI tutor, through a web-based chat interface. The main objective of this research project is to investigate how a personalized, data-driven learning experience based on the student’s profile, needs, and […]

XLScout uses Natural Language Processing (NLP), Machine Learning (ML), and Innovation/Scientific principles to deliver actionable intelligence and accelerate innovation by analyzing large patent and research databases. The company is eliminating the pain of manually going through document and quickly providing relevant information to support data-driven strategic decisions. Presently XLScout hosts a data vault of over […]

Chronic pain (CP) is a prevalent, disabling, and costly disorder. The gold standard treatment for chronic pain is care from an interdisciplinary pain clinic (IPC) – a rare resource in Canada that is often associated with long wait times (up to five years). These long wait times increase the risk of physical and mental deterioration […]

In this project, we will explore the new ways to design and implement a Low-Code Software Development platform that is easy to use, requires minimum software knowledge, is business logic oriented, and robust to dependency change. Specifically, we provide functional templates with detailed configuration flexibility to cover the high frequency requirements from the expected business […]

The main goal of this project is to develop an artificial intelligence based approach for recommendation to improve Videotron marketing solutions. We aim to focus on improving Vidéotron return on investment (ROI), engaging more users and retaining subscribers using advanced artificial intelligence techniques. The proposed system will be based on a collaborative filtering technique that […]

Temporary migrant farm workers make essential contributions to our national food supplies as evidenced during COVID-19. Their exclusion from rights to labour mobility, family unity and the absence of systemic supports, however, undermines workers’ wellbeing and belonging, and the inclusions to which migrant workers are entitled. There is less attention to how communities support their […]

Cable systems play an important role in many large scale simulation applications. Examples include marine systems, mining machinery, and cranes. The high fidelity and efficient modelling and simulation of these systems can enhance the applications and usability dynamic modelling environments. In this project we particularly target to develop models and efficient algorithms based on nonlinear […]

Recent years have seen a wealth of clinical evidence accumulate in favor of the radiomics hypothesis, wherein standard-issue oncological medical images, such as CTs, PET-CTs and MRIs, exhibit reliable fingerprints of cancer tumor genetic makeup, enabling predictions of patient prognosis, treatment resistance and side effects to be made directly from an analysis of imaging data. […]