The central research goal of my research is to examine the concept of resiliency and sustainability within the context of resource-based communities to address the often problematic relationship(s) between resource reliance, community well-being, and adaptive capacity.
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.
I study glacial deposits to reconstruct past climate change and to better understand how these deposits affect the movement of groundwater and contaminants today.
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).
The ultimate goal of our research is to develop technology that helps to enable a shift of our carbon resource from fossil non-renewables (crude oil, natural gas and coal) to renewable biomass in form of agricultural and forestry byproducts such as corn stover, straws, wood chips and bark, etc.
