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).
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 research focuses primarily on the genetic regulation of innate immunity in animals, with a particular focus on innate immune pattern recognition proteins.
Dr. Kate Parizeau is interested in research questions concerning the social context of waste and its management. Her research uses waste management practices as a lens through which to interrogate complex systems of social organization and human exchanges with the natural world.
I am engaged in questions of applied landscape ecology in rural and agricultural landscapes, including changes in landscape patterns and the consequences of those changes on biodiversity, water quality, and culture.
I am dedicated to seek out practicum experiences that support the competency development of the MAN students. Additionally, I am interested in exploring if simulated learning exercises could accelerate competency attainment.
