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 research focuses mainly on personnel selection, with an emphasis on finding valid and fair methods of hiring the best employees. Most recently, I have investigated employment interviews as a promising approach to measuring personality in job applicants. My research also...
Promotion of dairy cattle health, production, efficiency, and welfare not only contributes to economic viability of the dairy production sector, but also provides benefits to the consumers of milk products. These benefits include environmental sustainability, maintenance of milk nutritional quality and safety, as well as assurance that milk is sourced from animals that have been raised humanely.
My research uses mathematical models and computer simulation to help identify improved infectious disease prevention and control strategies in both humans and animals. Our work has a significant impact on public health and veterinary health, by strengthening planning and disease control strategies to prevent infectious disease outbreaks.
My research is in the area of mechanical and electrical engineering. It involves the development of intelligent control and estimation strategies with applications to mechatronic systems, robotics, and real-world problems.
The research that we conduct in my laboratory aims to understand the causes of infertility at the gene level and pinpoint the mechanisms through which toxicants affect fertility both in humans and farm animals. Understanding how things happen will help in finding ways of overcoming it.
