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 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.
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.
Dr. Lin’s research interests include information security, privacy-enhancing technologies, digital forensics and applied cryptography (the science of concealing and deciphering computer data to keep it private).
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.
