Carnegie Mellon University

Research Centers


The CONIX Center’s research agenda is broad and ambitious, spanning architectures, components, services, security, and privacy, all of which combine into three demonstrator applications. The Center’s mission is to develop the architecture consisting of APIs and protocols that allows system designers to operate on all resources in a system in an abstract manner like that of modern data centers. This requires an interdisciplinary, cross-cutting approach that extends from new programming paradigms at the top all the way down to platforms that support in-network computation. To cope with dynamics and scale, the system needs to be sufficiently autonomous, using machine learning and cognitive approaches to build resilience and self-optimize.


Carnegie Mellon CyLab is a bold and visionary effort aimed at creating a public–private partnership to develop new technologies for measurable, available, secure, trustworthy, and sustainable computing and communications systems and educate individuals at all levels.

CyLab Biometrics Center

Authentication by biometric verification is becoming increasingly common in corporate and public security systems, consumer electronics, and point of sale (POS) applications. At the CyLab Biometrics Center, the primary research thrusts that will be developed and use leveraged resources are 3D face reconstruction, 2D pose correction, and 2D facial landmark detection.


The Data Storage Systems Center (DSSC) at Carnegie Mellon University is an interdisciplinary research and educational organization whose mission is to advance information storage technologies. Faculty and students from a wide range of disciplines at Carnegie Mellon are developing fundamental understanding of the science and advanced engineering methods required for future generations of information storage systems.


The GM–CM CRL is an interdisciplinary organization formed to foster close collaboration between General Motors and Carnegie Mellon researchers, spanning a wide spectrum of technologies to make the automobile the next information technology platform in our society. 


The Parallel Data Lab (PDL) is one of academia's premier storage systems research centers. The PDL addresses a broad spectrum of storage-related challenges, including secure storage, emerging technologies, disk characterization and modeling, efficient storage access, storage networking, and network-attached storage clusters.