As the number of patients with stroke and Parkinson’s Disease (PD) increases, it is essential to obtain treatment progress data efficiently for the home rehabilitation. For the therapy of hand disabilities, a system is required to collect data, process and control hand motions during rehabilitation. Current rehabilitation devices that are available in the market are […]

Computer Vision – Business and Product Engineering Focus Applying Artificial Intelligence and Machine Learning to solve outlier, merging, and segmentation problems for use-cases with laser scan and point cloud data.

This research study focuses on the communication and transmission of technical and industrial analytic data, developed by our research partner, ioAirFlow. Because the current recipients of ioAirFlow data reports are not always data- or engineering-trained professionals, complex data is not often understood or acted upon. This research internship focuses on ways in which to develop […]

Laboratory pedagogy is considered absolutely critical for physics and engineering education ranging from high school to university. Among all universities worldwide, a well-known first-year physics experiment demonstration is a spring-coupled pendulums system. It demonstrates the coherent coupling; the underlying physics is reflected from classical mechanics to advanced quantum systems. It has excellent application from a […]

This project focusses on the modernization of energy system modelling with considerations for greater levels of sustainable energy and carbon-neutral footprints.

Rolling element bearings act as the heart of rotating machines. Any imperfection in their condition can lead to an abrupt failure which can be catastrophic. For more than two decades, implementing sensors for condition monitoring of bearings has been beneficial in preventing abrupt failure and fault detection. These sensors require a noise-free atmosphere to have […]

Unmanned Aerial Vehicles (UAV) or drones have numerous applications in different industries. However, drones have limitations such as short flight time, limited flight range, and navigational inaccuracy in regions with unreliable GPS signal. To mitigate these limitations, using a group of drones to cooperatively perform the mission is proposed. The resulting parallel operation increases the […]

Light is a powerful sensing tool that humans are very familiar with. We are, however, only sensitive to a visible light. Much more can be learned from other types of light. Terahertz light is very low energy light that allows very sensitive non-invasive measurements to be made on many types of samples including biological and […]

This project is a partnership between Concordia University and Aedo AI, to upgrade an existing construction project data repository into an intelligent platform for analyzing project performance and providing advanced analytics based on (i) correlations between projects’ different facets (including actors involved, the facility being built, and workflow processes being executed); and (ii) interactions among […]

The Canadian agricultural sector is facing a wide range of challenges that include depleting natural resources (e.g., water), environmental pollution (e.g., fertilizers), and climate change. Precision agriculture is a method of farming that uses technologies to monitor soil and crop status and support timely and variable-rate farming practices. It is thus a promising approach to […]

The proposed research projects will expand the scope of computer algebra systems (CAS) into two areas where much remains to be done: symbolic analysis and polyhedral geometry. One of the proposed research projects will also strengthen CAS in one of their well-established territory, namely symbolic integration. These themes will support applications such as the analysis, […]

Financial variables modelling plays an essential role in computational finance and risk management. Recent research has shown that public sentiment and other information expressed in the natural text such as news articles are important factors correlated with financial variables. The main purpose of this project is to better model financial variables such as market indices […]