I am interested in the diverse knowledge systems and participatory approaches (citizen science, youth engagement, community-based monitoring, Indigenous guardians, etc.) that contribute to community-led environmental decision making in resource-based and remote communities.
My lab studies lung disease in horses, cats, and dogs. We look for relationships between air pollution and the incidence of asthma. As well, we are developing more detailed ways of understanding how lung diseases arise, and finding more accurate methods for diagnosing them.
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
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.
My research will contribute to our fundamental understanding of the role of nutrition in disease prevention and strategies to implement change working through families.
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.
Research in my laboratory aims to identify and characterize new molecular factors and cellular mechanisms implicated in neuronal development and plasticity, which in turn will help reveal important new details about the pathophysiology of different brain disorders and identify potential targets for improved pharmacological treatments.
