I examine marine conservation policy and governance, from local to global scales. I explore how decisions are made, how science and other kinds of knowledge inform these decisions, how various actors influence decision-making processes, and who benefits (or loses) as a result.
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.
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.
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.
