Research Labs

In addition to our faculty's individual research, much research and development takes place in computer science laboratories. Some of these labs are highlighted below.

Brandeis Autonomous Robotics Teaching Laboratory

The COSI 119a Brandeis Autonomous Robotics Lab, led by Professor Pito Salas, is focused on teaching Robotics theory and practice. Students and faculty work side by side on robotics projects large and small. The lab takes a  “multi-cohort multi-semester” approach to teaching, which allows students to learn robotics while helping to build the lab’s major project, the Campus Rover. The Campus Rover initiative  investigates issues of indoor and outdoor navigation using inexpensive robot platforms. 

Dynamical & Evolutionary Machine Organization

The Dynamical & Evolutionary Machine Organization (DEMO) lab attacks problems in agent cognition using complex machine organizations that are created from simple components with minimal human design effort. The DEMO lab houses research in recurrent neural networks, evolutionary computation, and dynamical systems as substrates.

Alterman Lab

The Alterman Lab is an interdisciplinary lab led by Rick Alterman, a professor of computer science a with a joint appointment in the Volen Center for Complex Systems. Alterman's research is interdisciplinary with a strong computational basis. His current research group is doing research on engineering online collaborative learning environments.

The Brandeis Laboratory for Linguistics and Computation

The Brandeis Lab for Linguistics and Computation (LLC) conducts research on the design and development of language models for semantic indexing, knowledge extraction, and linguistically-based reasoning over large text collections. Theoretical work involves development of Generative Lexicon Theory and extensions of this theory to parsing and event-based inferencing.

Chinese Language Processing Group

The Chinese Language Processing Group (CLPG) focuses on research in natural language processing, developing new linguistic and statistical techniques, and creating new computational linguistic tools. Ongoing projects include semantic role labeling, statistical machine translation, Chinese language processing, and temporal inference.

Computational Systems Biology Group

The Computational Systems Biology Group takes an integrated approach, which combines computational and experimental methods to understand causal and functional relationships that regulate the dynamics of biological networks and lead various extra-cellular stimuli to numerous cellular phenotypes.