Cross-Area Research Initiatives

Computer science has the power to transform human life by transforming the very nature of how things are done. CSAIL researchers are tackling the most challenging problems of our time with interdisciplinary, cutting-edge initiatives in several key areas. By bringing together the greatest minds in computer science, CSAIL seeks to develop revolutionary new methods for advancing education, manufacturing, health care and complex systems.

csail research bigdata@CSAIL

To solve the data deluge, CSAIL researchers will be investigating how to transform big data into big insights. CSAIL members will explore all the challenges and opportunities presented by big data, from cloud computing, data management, massive scale data analysis, algorithms, data mining, machine learning, security, privacy and visualization to all of big data’s applications in fields such as finance, medicine, biology, artificial intelligence and social networking.

Sam Madden

csail research Cybersecurity @ MIT CSAIL

The goal of CyberSecurity@CSAIL is to identify and develop technologies to address the most significant security issues confronting organizations in the next decade. Presently, approaches to system security do not give overall security guarantees, but rather attacks are fought individually - “patch and pray” style. This initiative aims to provide an integrated and formal approach to the security of systems, combining design and analysis methods from cryptography, software and hardware.

Howard Shrobe

csail research Wireless@MIT

A large, perhaps dominant, part of our computing future will be wireless and mobile. To realize that future, CSAIL researchers are developing novel solutions to four challenges: dramatic improvements in spectrum use, systems to develop and run distributed mobile applications at scale, security and privacy in the mobile world, and energy-efficient designs. These efforts are part of the MIT Center for Wireless Networks and Mobile Computing, housed at CSAIL, whose participants also include researchers from LIDS, MTL, and RLE.

Hari Balakrishnan, Dina Katabi