The School of Environmental Sciences (SES) at the University of Guelph is a great place for your graduate education as it provides the opportunity to be exposed and/or get experience in a multitude of scientific disciplines.
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.
In the context of global challenges, I work in the area on communication and information for agricultural innovation and community economic development. I lead the Regional and Rural Broadband (R2B2) project.
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.
The problems I have worked on in animal science have direct implications for genetic selection, food quality (e.g. cow milk), and animal health. On the other hand, my work in understanding the structure and driving mechanisms of ecological (e.g. plant-pollinator) networks have indirect implications for ecosystem conservation, management, and restoration.
I examine professional interactions in the context of therapy. I use discourse and conversation analysis to study the micro-details of social interaction.
I combine experiments, simulations, and theory to tackling problems like improving small hydropower systems, modeling the climate inside greenhouses, and studying airflow in both industrial processes and outdoors.
