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.
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.
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.
I combine experiments, simulations, and theory to tackling problems like improving small hydropower systems, modeling the climate inside greenhouses, and studying airflow in both industrial processes and outdoors.
My lab combines measures of human behaviour with brain imaging techniques, such as functional Magnetic Resonance Imaging (fMRI), to examine the cognitive and neural mechanisms of visual recognition and affective response, and how...
My community-engaged research collaborations focus on the interplay between citizens – particularly young women and women in northern communities – and the framing and development of public policy.
One of my main research activities addresses the development of Electronic Design Automation (EDA) tools for Application Specific Integrated Circuits (ASIC) and Field Programmable Gate Arrays (FPGAs) which are used today in all types of applications including security systems, consumer products, medical equipment, manufacturing systems, robotics to name just a few.
