Dr. Rozita Dara is the Principal Investigator of Data Management and Privacy Governance research program. Her research group focuses on advancing the next generation of Internet of Things platforms using artificial intelligence, with a particular focus on information privacy governance.
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.
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 research uses mathematical models and computer simulation to help identify improved infectious disease prevention and control strategies in both humans and animals. Our work has a significant impact on public health and veterinary health, by strengthening planning and disease control strategies to prevent infectious disease outbreaks.
I have an interest in conservation induced livelihood change, forest governance, conservation partnerships and Indigenous-led conservation governance. My work seeks to improve the social and ecological outcomes of conservation governance.
My group uses in vivo and in vitro models to ask how transcriptional regulators of the Dlx gene family influence cellular differentiation in the skeleton and craniofacial tissue patterning during vertebrate embryogenesis...
