The main objective of this research project is to contribute to developing a model that can provide robust early warning to changes in influenza cases and help to reduce ILI spread globally. The model, Modified Exponential Growth Algorithm (MEGA), will characterize the early ascending phase of epidemic disease and will be used to detect changes […]

The project involves detailed planning and mapping of the Cattle Health Management (CHM) organization’s data systems and designing and planning an application, data portal, and database infrastructure. We will start by analyzing the current data processes to create a structured map that guides the integration of advanced database technologies. This includes the creation of APIs […]

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

The proposed R&D project with Linkbase is focused on propelling Canada’s hospitality industry into the digital age. While the sector may be lagging behind counterparts in places like Asia that are leading the digitized hospitality space, this project aims to bridge that gap. By harnessing technology to connect locks and streamline digital check-ins, property managers […]

Since 1991 SMART Technologies has infused classrooms around the world with powerful interactive technologies, principally the “SMART Board” which sets a standard for interactive whiteboards. The SMART Board has been featured in many innovative designs for learning and instruction – some coming from academic research, and many from classroom teachers as they integrate touch boards […]

AI-MD is an AI-driven symptom checker that allows people to monitor their health and scan their body for suspected illness and disease. Millions of people are using symptom checkers online every month that only allow them to describe thier symptom information using text or checking off boxes. Not only are these tools not accurate, but […]

The proposed research project at the Turak Functional Nanomaterials Research group at Concordia aims to enhance the efficiency of solar energy data measurement and analysis from emerging solar cell technologies. In a world increasingly focused on sustainable energy sources, efficient utilization of solar power is paramount. The lab manages vast data, including complex images of […]

The Actively Sober app is an ambitious project that combines advanced artificial intelligence with a keen understanding of cultural nuances to address the widespread issue of alcohol misuse. By employing AI algorithms that continuously scan digital platforms to identify and block alcohol-related content, the app aims to create a supportive environment for users, helping them […]

Deep learning (DL) has emerged as a viable means for identifying software bugs and vulnerabilities. The success of DL relies on having a suitable representation of the problem domain. However, existing DL-based solutions for learning program representations have limitations – they either cannot capture the deep, precise program semantics or suffer from poor scalability. We […]

The vehicle routing problem is a frequent real-world challenge, especially in transportation and logistics. It involves finding efficient routes for a fleet of vehicles to serve a group of customers while minimizing the overall travel cost. Methods for solving this problem exactly, meaning the solution found is guaranteed to be the best possible, are known […]

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW