The objective of this project is to construct optimal data structures for the range closest pair (RCP) problem. The RCP problem aims to construct a data structure such that whenever a specific query range is given, the closest point-pair among those inside the given range can be reported efficiently. The RCP problem has been studied […]

THz waves are receiving great attention in, for example, medical imaging as well as 6G communication. Basic research using THz waves for such applications is being actively conducted. However, since the commercially available THz components are still bulky and difficult to use, the need for a compact THz system has been growing. In this context, […]

The main goal of the proposed project is to implement a high-sensitivity biosensor by using nanomaterials. We aim to address the current issues in biosensor technology and lead the innovative role of the international community through exchanges and cooperation between Canadian and Korean researchers. In order to achieve goals, high-quality semiconductor thin-film deposition technology over […]

Les outils basés sur l’intelligence artificielle sont de plus en plus utilisés dans des contextes d’inspection d’infrastructures, où un expert devait normalement passer beaucoup de temps à manuellement visiter puis annoter les portions problématiques. Un problème persiste toutefois pour leur applicabilité : la quantité de supervision requise pour entraîner ces méthodes d’IA. Le projet proposé […]

L’intelligence artificielle (IA) commence à être déployée dans le domaine du contrôle non destructif. Il s’agit d’analyser, par intelligence artificielle, de grandes quantités de données, notamment ultrasonores (ce sont des échographies de matériaux métalliques, composites ou autres), pour y détecter des défauts de fabrication ou d’usure (par exemple des trous, de la corrosion, etc.). L’application […]

Capturing high quality images is a major selling point of modern flagship smartphones. However, due to physical constraints on sensor size, capturing a good image with a mobile phone is challenging especially in low-light conditions. To obtain a bright image, one has to use a long exposure or digitally gain up a short exposure image. […]

In AI safety, compliance ensures that a model adheres to operational specifications at runtime to avoid adverse events for the end user. This proposal looks at increasing the suite of compliance testing and verification tools available to ML practitioners by implementing two more tools, CGDTest and Goose. The overall goal is to develop both proposed […]

How can we bring better co-design into on-line Learning Design practice? How can co-design foster creativity and collaboration for adult online learning education? Co-design has been used to create solutions for some of the most challenging problems we face in society. Government and public policy, community, healthcare and human services have all made use of […]

Streaming video applications in the home (video doorbells, security cameras, babycams, robot vacuums etc.) have started to become commonplace. Automatically detecting events of interest in such video streams can help to reduce manual effort from users in sifting through false alarms, enhance user safety, comfort and satisfaction, as well as enable new applications in areas […]

The past two years have shown increasing distrust through online division, polarizing protests and strikes, and destructive riots. This problem has gotten worse due to our unverified, disorganized, and time consuming citizen and stakeholder engagement systems; especially social media, focus groups and town halls, and voting. In order to solve the problem of increasing distrust […]

This project’s objective is to show the utility of data from passenger cars in developing semi and fully automated driving. The challenge at hand is designing and developing artificial intelligence that can accurately and efficiently filter the most critical driving scenarios detected in a fleet.

Inappropriate food autonomy poses serious threats to the sustainable development of Canada and the global society in general. This issue is further exacerbated by the four-season climate of Quebec that prevents year-round open-air farming. To cope with this challenge, Controlled Environment Agriculture (CEA) uses managed artificial environmental conditions to produce vegetables and fruit in a […]