We tend to think of wildfire as resetting the biological clock back to zero; forest types always come back to whatever was there before it burned. However, new evidence reveals that this is not always the case and fire can also cause changes to forest types. For example, very hot fires can kill seeds stored […]

The proposed research project is focused on customizable medical tattoo electrodes used on patients in different clinical settings. These electrodes are placed in specific places on the body and are connected to medical signal acquisition systems to collect different medical signals. The signals can include ECG (heart) signals and EMG (muscle) signals, and these signals […]

The Local Black History Internship Program will provide an undergraduate student from the University of Windsor with a unique opportunity to conduct research with a university professor and develop a museum exhibit for the Amherstburg Freedom Museum. This position will offer the intern insights into how the study of the past is conducted by professional […]

Les résidences à assistance continue sont des milieux d’hébergement où vivent des personnes avec déficience intellectuelle ou trouble du spectre de l’autisme avec trouble grave du comportement. Les services y sont donnés par des travailleurs de différentes professions, pouvant donner lieu à différentes visions de ce qui constitue une « bonne intervention ». Comment les […]

Disruptive antenna technologies are required to provide performance and fabrication advantages in developing broadband wireless application products in emerging upper microwave and millimeterwave radio bands. The internship will investigate the feasibility of applying Polymer-based Dielectric Resonator Antenna (PRA), technology developed at the University of Saskatchewan, to commercial antenna array applications.

CoDES est un projet de recherche mené dans la ville de Québec qui vise à mieux comprendre les quartiers dans lesquels grandissent les jeunes enfants. Nous nous intéressons aux caractéristiques de ces quartiers qui aident ou nuisent au développement de la naissance à 5 ans. Pour obtenir un meilleur portrait global de la situation, nous […]

Hortau développe des solutions technologiques innovantes pour améliorer le suivi de l’irrigation des cultures agricoles. L’un des défis les plus importants dans l’optimisation des pratiques agricoles est de bien mesurer en fonction du temps la quantité d’eau disponible dans le sol afin d’adapter l’irrigation de façon journalière. La tension du sol est une métrique qui […]

As part of a larger proposal, the proposed research project aims to develop biopolymer-integrated, environmentally-resilient thermoplastic glass fiber-reinforced polymer (FRP) composite materials with the goal to protect Atlantic shoreline from soil erosion due to accelerated climate change events. The project, in partnership with New Brunswick Innovation Foundation (NBIF) and Thermopak Ltd., will modify the conventional […]

Machine learning applications in healthcare have shown excellent inroads in medical imaging sciences in recent years. Our research aims to improve upon and open up doors into several different pathology diagnosis applications using artificial intelligence. Contemporary research into some of these applications has shown better diagnostic capacity than expert-level clinicians. Our research into artificial intelligence […]

Les ruptures de feuilles de papier produites par Cascades sont une préoccupation majeure pour Casades car elles diminuent la fiabilité et l’efficacité du processus de production de la pâte à papier, entraînent des coûts substantiels et posent un risque important pour la sécurité des opérateurs de l’usine [3]. Par conséquent, ce projet aborde le problème […]

This research proposes to examine the relationship between unionization in Canada and Canadian rates of employment, unemployment, and the distribution of earned income. Particular attention will be paid to the institutional environment in which unions and collective bargaining exist. The problem to be explored is the way in which the institutional environment (such as laws […]

In the past decade, deep learning models have demonstrated their highest performance for a variety of tasks. These models outperformed classical machine learning models and even humans in terms of performance and accuracy. However, previous research indicated that these models are vulnerable to out-of-distribution and adversarial inputs. Ideally, these inputs should be rejected by the […]