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.
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 and my lab study animal welfare. We're interested in how to create good living conditions for animals kept in labs, zoos and farms; in how scientists can assess well-being objectively; and in what happens to brain and behaviour when animals are raised and kept lifelong in confining, barren enclosures.
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.
My primary research goals are currently directed towards building AI agents for active threat hunting in Internet of Things (IoT), Industrial Internet of Things (IIoT) and Internet of Battlefield of Things (IoBT).
