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.
My research aims to improve life by helping diverse human societies to better relate to each other and think more critically about the impacts of our actions on our fellow non-human beings.
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 goal of my research is to improve the life of cancer patients by identifying tools to make better treatment decisions. This can possibly improve several important aspects of the life of a cancer patient, including treatment response, the quality of life, and the overall survival following treatment.
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 main areas of research include computer systems security and intrusion detection and prevention systems. In the latter part, I aim to create an intrusion detection and prevention system which are able to detect and protect network intrusions effectively and in reasonable
Studying the behavioural biology of cattle sheds light on how they see and experience the world, and ultimately offers us insight into their feelings. What drives their behaviour? How do the ways that we interact with them, house them, and manage them, impact their well-being? In our lab, answering these questions are fundamental to ensuring that the animals we farm, in this case cattle, live a good life.
