I am interested in the diverse knowledge systems and participatory approaches (citizen science, youth engagement, community-based monitoring, Indigenous guardians, etc.) that contribute to community-led environmental decision making in resource-based and remote communities.
Immigrant families settling the land, quilting bees, and ploughing matches are examples of some of the social and economic topics of early Ontario that link my work to the larger expertise of this University concerning agriculture and rural communities.
Dr. Gong’s research interests cover various topics in the broad area of visual computing (including computer graphics, computer vision, visualization, image processing, and pattern recognition).
Overall, our work aims to uncover novel strategies for the treatment of infectious diseases associated with fungal and bacterial pathogens in both the healthcare and agriculture sectors.
Statistical natural language processing has been actively studied in the field of Artificial Intelligence. My research is mainly focused on applying machine learning methods in Information Retrieval, Text Categorization, Sentiment Analysis, Text Segmentation, Text Summarization, Privacy Policy Analysis, and Text Mining.
Our research is mainly focused on studying ultrafine biopolymeric and synthetic fibres produced by electrostatic spinning techniques. These versatile materials are being exploited in our laboratory for the encapsulation and triggered release of bioactive compounds.
