Multiphase flow takes place in a wide spectrum of engineering applications such as food production, power generation, water treatment, oil production, water desalination, refrigeration and air conditioning, as well as in carbon capture and sequestration systems. My lab aims at providing reliable solutions for our many industrial problems and new technologies that can make these engineering systems more efficient and sustainable.
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 ultimate goal is to improve understanding of the complex interplay of factors that impact children’s pain and health to identify best practices for intervention.
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 initiatives aim to develop novel/enhance existing treatment approaches in clinical pain management (diagnosis and treatment) and musculoskeletal biomechanics/pathomechanics associated with chronic diseases and aging.
