Severe Equine Asthma (or “heaves”) is the most common respiratory disorder affecting horses in stables, and impacts an estimated ~15% of the equine population in the northern hemisphere. Heaves is a chronic condition for which there is currently no cure, and its symptoms are quite dramatic causing severe breathing difficulty for affected horses, making it […]

Cyclin-dependent kinase-2 (CDK2) regulates cell cycle, whose structure and biological characteristics are well known. CRIF1 plays a regulatory role in the bone marrow microenvironment-induced leukemia cell cycle arrest through inhibiting CDK2. In this multi-disciplinary research, we will use a combined structure function study to reveal the interaction between CDK2 and CRIF1. This will facilitate the […]

Information published by financial news agencies is used as one of the inputs to make investment decisions. News articles from multiple sources can be used to gauge market sentiment towards an industry or a specific company. Deep learning techniques have been successful in producing state of the art results on various benchmark datasets (Dai & […]

The Great Lakes St Lawrence (GLSL) Basin is central to Canada’s economy and culture, and a primary water source. Several stressors are deteriorating these critical ecosystems. This proposed project aims to lay the foundations for efforts to improve coordination related to the restoration of the GLSL region. The proposed project consists of mapping stakeholders, issues, […]

Non-parametric models such as supervised and unsupervised machine learning algorithms seem to be an interesting choice when trying to extract decision-making signals out of this ever-increasing volume of information. These models have been used extensively in the last decades and are now more relevant than ever thanks to the development of new techniques in artificial […]

Considering the soot-free burning characteristics of DME/OME fuel, highly diluted intake charge can be introduced in order to realize ultra-low nitrogen oxides emissions. However, the ignition process of the highly diluted fuel/air mixture is difficult, and an unstable ignition process is detrimental to fuel efficiency and engine performance. In this project, innovative ignition systems including […]

Lorsqu’une entreprise investit de larges sommes d’argent dans une technologie, elle espère en tirer des bénéfices : diminution de ses coûts d’opérations, amélioration de la relation client, amélioration de la qualité des produits, etc. Ces faits sont mesurés à l’aide d’indicateurs de performance. Chaque entreprise est libre de choisir les indicateurs qu’elle souhaite suivre, mais […]

Les thermostats à tension de secteur pilotent le plus grand poste de consommation énergétique des résidences chauffées par plinthes électriques. Jusqu’à maintenant, les habitudes d’utilisation de ces thermostats par les occupants des résidences étaient obtenues par sondage, ce qui limite la quantité et la qualité de l’information récoltée. Le stage vise à traiter les données […]

In this project, the intern will design a decision support framework for optimizing tube utilization in laboratory tests. Given a prescription, the framework automates the tube selection process and outputs low cost tube configurations. The framework is designed to be easily adapted to different lab configurations. It consists of three processes, namely data profile configuration, […]

Sudbury represents the site of a meteorite impact structure originally greater than 200 km in diameter and that formed 1.85 billion years ago. Despite the proven and potential economic benefits of resource development at Sudbury, there are still major outstanding questions concerning our understanding of the structure and its ore deposits. A series of objectives […]

Wedge Networks is a leading cybersecurity solution provider in Canada. In this project, we aim to investigate the application of statistical machine learning and deep learning to cyber threat detection, aiming to detect both network intrusions and malware binaries transmitted in the network. Based on the big data collected from Wedge’s system logs and anonymized […]

The goal of the research is to implement different data mining algorithms in order to improve the prediction on a user’s electricity consumption. The research will be dedicated to improve the existing algorithms or implementing new algorithms for the improvement of the prediction accuracy. Besides application of the prediction algorithms, different data pre-processing methods will […]