Artificial Intelligence
AI research is advancing the frontier of computing by enabling machines to solve problems that require high-level–sometimes human–expertise, perform complex tasks autonomously, learn from experience, interact and collaborate seamlessly with people, and cope effectively with uncertainty and missing information.
Computational Biology and Bioinformatics
Our research attempts to answer important questions in molecular biology, genetics, biologically-inspired computation, and neuroscience, such as how a protein folds, how genes are expressed and regulated, how biological systems are able to process information robustly, and how they learn and adapt to their environments.
Data Management
At its core, data management seeks to enhance the capabilities of systems that deal with data, and, together with statistics and machine learning, is one of the pillars of the emerging discipline of Data Science.
Electronic Teaching
Electronic Teaching involves computational systems that communicate and cooperate with learners at many levels, with strong ties to research in cognitive science, education, engineering, and to other computer science researchers in artificial intelligence, networking, machine learning, information retrieval, and multimedia.
Health Informatics
Health informatics research is an interdisciplinary field that leverages information technology to improve healthcare delivery and outcomes.
Human Language Technologies
Human Language Technologies refers to systems that understand, represent, analyze, and search archives and streams of written and spoken language.
Human-Computer Interactions
Human-Computer Interaction (HCI) research focuses on the design, evaluation, and implementation of interactive computing systems for human use.
Information Visualization
People rely heavily on data to understand, communicate, and make decisions. By tapping into the power of our visual processing system, data visualizations—maps,
Machine Learning
Machine learning is the study of computational methods for pattern discovery and skill acquisition and includes methods by which both humans and artificial agents can improve their behavior while interacting with their environments.
Mobile and Sensor Systems
Our research works on the design of novel low-power sensing systems with applications to mobile health, a next-generation Internet that is focused on seamless support for mobility and trustworthiness, and efficient and low-power wireless connectivity.