We aim to understand the theoretical power of cryptography and the practical engineering of secure information systems, from appropriate definitions and proofs of security, through cryptographic algorithm and protocol design, to implementations of real applications with easy-to-use security features.

The HCI Engineering Group works at the intersection of human computer interaction and personal fabrication tools. The research group's long-term vision is that in the future anybody will be able to create anything anywhere anytime. Working towards this goal, we build novel hardware and software systems that advance personal fabrication technologies.

The Data Systems Group (DSG) at MIT conducts research on all areas of data and information management. Projects range from the design of new user interfaces and query languages to low-level query execution issues, to the design of new systems for database analytics and main memory databases to query processing in next-generation pervasive and ubiquitous environments such as sensor networks, wide area information systems, personal databases, and the Web.

The Infolab research group investigates language in different contexts: from how it is learned, to how it is grounded in visual perception, all the way to how machines can readily interact with humans.

Our mission is to widen the scope of geometric data processing to encapsulate the theory, algorithms, and applications for shape processing applied to abstract datasets and 3D surfaces alike.

Our research in computational neuroscience, cognitive computing and computer vision, ranges from theory to experiments to applications, accelerating the rate at which discoveries are made by solving problems through a multi-disciplinary way of thinking. Science and technology is at the threshold of paradigm-shifting discoveries. However, an obstacle remains: as technology grows exponentially, our understanding of the human mind does not. We are approaching an era in which the benefits of a highly technologized society won’t be fully realized unless we are able to understand how humans encode, process, retain, predict and imagine.

Our goal is to develop the science of autonomy toward a future with robots and AI systems integrated into everyday life. Our research focuses on the development of algorithms and systems that enable self-organization, collaboration, and adaptation when interacting with the physical world.