Abdallah's research examines manufacturing and processing of light metals and alloys for the automotive and aerospace industries, with a focus on using fundamental concepts and experimental approaches to solve industry-related problems.
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 specialize in Canadian theatre history, with a focus on the history of radical political intervention theatre. My secondary field at the moment is reenactment culture and "warplay".
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.
We are interested in structure-function relationships of enzymes and enzyme evolution. We are studying steroid degrading enzymes from the pathogen Mycobacterium tuberculosis and other related bacteria. We are also interested in enzymes that can be used to detoxify environmental pollutants.
