The MLA program at the University of Guelph offers passionate and engaged students the chance to study a fascinating discipline rich with potential and boundless ambition to confront the complex challenges facing society through better design.
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.
Graduate students joining my team at Guelph get unrivalled opportunities to work in the lab and field answering research questions at the cutting edge of science with direct environmental and societal relevance. This important research is exciting, challenging and rewarding for the student, for me as the supervisor and for everyone else in the team.
My research involves studying the physiology and production management of apples, cider apples, peaches, pears, and cherries. As with any agricultural crop, the industry is rapidly changing with the availability of new cultivars, rootstocks, production systems, and labour saving technology.
I employ a quantitative approach to integrate observational, experimental and synthetic data sets, gathered by myself and others, to study this interaction of dispersal and environmental processes...
My research interests include bullying and cyberbullying, policing, and victimization. I am particularly interested in the ways in which the peer, family, and school contexts influence adolescents' involvement in cyberbullying, and how groups of adults collaborate to prevent and respond to cyberbullying.
