My primary research goals are currently directed towards building AI agents for active threat hunting in Internet of Things (IoT), Industrial Internet of Things (IIoT) and Internet of Battlefield of Things (IoBT).
My research program is the only one in Canada that integrates economics, hydrology, and GIS to examine the cost effectiveness of landscape conservation programs.
Landscape architecture has a long history at the University of Guelph, and we are able to tap into the diversity of disciplines here in order to make a broad contribution to our students' education and experience.
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.
My community-engaged research collaborations focus on the interplay between citizens – particularly young women and women in northern communities – and the framing and development of public policy.
My ultimate goal is to improve understanding of the complex interplay of factors that impact children’s pain and health to identify best practices for intervention.
