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 […]

My main project is the conceptualization, creation, and continuous refinement of my Digital Marketing Masterclass workshops. These workshops are designed to further educate and empower the C-suite, senior technical and strategic management, and the employees of “digital-forward” businesses. There is a huge gap in education currently with regards to what is available for current and […]

Mental health issues are common worldwide and affect people in many ways. These issues include changes and instability in personality and mood, depression and anxiety, withdrawal from events and activities, etc. Computational approaches, such as artificial intelligence (AI) and machine learning (ML), in the early detection of mental disorders are promising. Even though machine learning […]

Mental health issues are common worldwide and affect people in many ways. In Canada, one in five people are dealing with a mental health disorder. The result of this is high emotional costs to those individuals and their social networks, and high economic costs to the country’s healthcare system. Refresh Wellness intends to offer a […]

Mental health issues are common worldwide and affect people in many ways. In Canada, one in five people are dealing with a mental health disorder. The result of this is high emotional costs to those individuals and their social networks, and high economic costs to the country’s healthcare system. Refresh Wellness intends to offer a […]

Collaborative filtering is a product recommendation technique for making automated product suggestions to a user based on the preference information from similar users. Traditional recommendation algorithms drive personalized recommendations using the data from user purchases and ratings. For e-book retailers, besides user purchases and ratings, product features such as book content and metadata also provide […]