Language is in a constant process of change. Understanding the hows and whys of change and the effects it has on society can help us better understand each other as human beings.
The problems I have worked on in animal science have direct implications for genetic selection, food quality (e.g. cow milk), and animal health. On the other hand, my work in understanding the structure and driving mechanisms of ecological (e.g. plant-pollinator) networks have indirect implications for ecosystem conservation, management, and restoration.
Chronic pain is a debilitating condition affecting 1 in 5 humans and animals. Our research aims to address the urgent need for the development of effective therapeutic strategies to clinically alleviate chronic pain symptoms.
In the context of global challenges, I work in the area on communication and information for agricultural innovation and community economic development. I lead the Regional and Rural Broadband (R2B2) project.
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 focused on developing intelligent robotics systems including Robotic grasping, human-robot interaction, machine vision, machine learning, and embedded computing systems.
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.
