This project will use speculative design methodologies to create wearable technologies (wearables mounted with sensors that can be worn), capable of sending, receiving, and sharing sensory information across differently-abled human bodies. As the participants with different body structures, mobility, and agility move in space wearing aforementioned wearable technologies, proprioceptive information (sense of balance and body […]

This project encompasses the research, design, and implementation of innovative improvements in a 3D animation software for a Canadian-based media and entertainment company. The main objective is to attract and better serve the business’ underrepresented customer segment of artists in the Asian market. This aligns with the Cansbridge Fellowship’s primary mission to support Fellows in […]

Artificial Intelligence (AI) and Machine Learning (ML) will play key roles in the RWA platform. A significant area to which these technologies will be applied is the recommendation algorithm connecting users to resources that are most relevant to their 3 personal wellness journey. The app features a collection of both community resources and in-app resources […]

Tutor Teach launched in July 2020, as a way to teach French to children during the thick of the Covid19 pandemic. Since launching, Tutor Teach has seen tremendous growth. With over 100 certified instructors on the team, Tutor Teach offers quality and affordable academic tutoring for pre-K to post-secondary students in all subjects, in addition […]

Je vais réaliser des entretiens avec des journalistes belges pour comprendre quels sont les obstacles et/ou les possibilités qu’elles rencontrent lorsqu’elles veulent produire des nouvelles sur des questions de genre (inégalités, points de vue divergents, remise en question des lois , etc). Ces entretiens serviront à créer un « coffre à outils » en partenariat […]

Mes travaux de recherche portent sur la vie musicale en Autriche d’après-guerre (1945-1949) et se déclinent en deux volets. D’une part, j’étudie la culture de commémoration musicale, et plus spécifiquement, les festivités organisées pour commémorer certains compositeurs considérés comme « classiques » et « nationaux » de 1945 à 1949 (Beethoven, Bruckner, Schubert, Brahms et […]

The proposed project is built around combining two existing projects, one situated at Carleton and the other situated at NAIST. Carleton has developed a tactile device which can both be tracked for use with Virtual Reality and can also change shape to simulate the tactile feel of various objects presented in a virtual environment. The […]

Recent advances in 3D camera technology and associated software is enabling clinical assessments of function to be undertaken in real world clinical settings, rather than in specialized bio-mechanics laboratories. Working in collaboration with Kinetisense Inc, an SME from Medicine Hat Alberta, a patented markerless motion capture technology has been developed to support a wide range […]

Data visualization is an important approach to help people understand data by graphic representation of data. Along with the development of various electronic devices and sensors, big data era is coming to us. Data visualization plays an increasingly important role in this era. However, research indicated that it’s hard for non visualization experts to author […]

À travers l’étude de la pratique de la boxe par les femmes, mon travail vise à interroger le caractère dépossédant de l’essentialisation de la violence féminine, particulièrement l’assignation des femmes à l’a-violence, et à reconnaître en elles des actrices capables de mobiliser leurs corps pour se défendre, voire agresser. Ma recherche vise également à questionner […]

The project investigates the transformation of anonymity in times of networked-data by looking into the history of urban neighborhood design and its relation to neighborhood-related machine learning algorithms, such as k-nearest-neighbor (KNN). This method analyzes behavioral patterns to form groups (neighborhoods) of actors with the same characteristics (neighbors). This groupingis then deployed to understand and […]

The proposed research is to develop a method for making valid, representative estimates of public opinion from sufficiently large and diverse non-probability samples such as social media data. We aim to demonstrate the theoretical, methodological, and practical contributions to the field of public opinion research by demonstrating the reliability and utility of this method in […]