Research

Faculty members, undergraduates, and graduate students are integral to cutting-edge research under way not only in core computer science, but also in interdisciplinary areas. Our groundbreaking research is supported by agencies such as the National Science Foundation, the National Institutes of Health, the U.S. Department of Education, U.S. Army, Office of Naval Research, National Security Agency, IBM, and Google. See the latest Department SIGBITS issue for recent research happenings by faculty and students.

Faculty Research Interests

Our faculty have diverse research interests. Here is a table of interests and faculty doing work in those areas:

Algorithms

George Heineman

Micha Hofri

Gabor Sarkozy

Artificial Intelligence

Bioinformatics &

Computational Biology

Cloud Computing

Computer Graphics, Vision and Image Processing

Computer Science Education

Database Systems

Data Mining

Data Science & Analytics

Digital Health

Krishna Venkatasubramanian

Human Computation & Crowdsourcing

Human-Computer Interaction

Interactive Media & Game Development

Mark Claypool

Charles Roberts

Gillian Smith

Learning Sciences

Machine Learning

Krishna Venkatasubramanian

Mobile & Ubiquitous Computing

Emmanuel Agu

Tian Guo

Natural Language Processing

Neil Heffernan

Elke Rundensteiner

Candace Sidner

Programming Languages/Compilers

Robotics & Cyber-Physical Systems

Krishna Venkatasubramanian

Candace Sidner

Security & Privacy

Krishna Venkatasubramanian

Suzanne Mello-Stark

Software Engineering

Systems/Networks

Krishna Venkatasubramanian

Theory

Visualization

Research Groups

Many research groups exist within the department. These groups hold regular meetings of faculty, grad students and undergraduate students to discuss current research topics and results. Departmental research groups include Applied Logic and Security (ALAS), Database Systems Research Group (DSRG), Performance Evaluation and Distributed Systems (PEDS) and the Tutor Research Group (TRG). Visit faculty member profiles to learn more about the research groups that individual faculty are involved in as well as when these research groups meet.

Elke Rundensteiner, professor of computer science, is developing novel techniques for extracting information from large-scale distributed databases in real time. Her work makes it possible to find meaning in enormous volumes of constantly changing data.

Data Streams by Elke Rundensteiner

Undergraduate Catalog

Graduate Catalog

Research

Faculty Research Interests

Research Groups

Making Sense of Data Streams in Real Time

Data Streams by Elke Rundensteiner