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.
The programs within the College of Business and Economics are filled with knowledgeable, accomplished academics who are also nice people. Unlike some programs where graduate students are treated like they're just a number, at Guelph graduate students are treated like colleagues. It's a nice environment to be in while receiving a top-notch education.
My research is in the area of Environmental Economics, ranging from typical economics topics like taxes and policy analysis, to more interdisciplinary work such as...
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.
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).
