Research
Labs
Areas
II - Computer Science (Systems)
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We study the principles, design, and engineering of computer systems, both software and hardware.
Area II web site -
Nickolai Zeldovich receives 2017 ACM SIGOPS Mark Weiser Award. -
New academic option attracts students from multiple MIT departments.
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John Tsitsiklis honored for ‘contributions to the theory and application of optimization in large dynamic and distributed systems.’ -
Ruonan Han, Luqiao Liu, and Caroline Uhler of EECS are among those to receive support for exploring new research terrains. -
CSAIL team's “Gitless” fixes Git’s biggest issues — and suggests their approach could help improve systems like Gmail and Dropbox. -
New design should enable much more flexible traffic management, without sacrificing speed. -
New language can speed up computer simulations 200-fold or reduce the code they require by 90 percent. -
New debugging method found 23 undetected security flaws in 50 popular Web applications. -
System from MIT’s Computer Science and Artificial Intelligence Lab enables single WiFi access point that can locate users within tens of centimeters. -
System lets Web users share aspects of their browsing history with friends, researchers. -
Li-Shiuan Peh, associate professor of electrical engineering and computer science, receives professorship from the Singapore-MIT Alliance for Research and Technology. -
Automatic bug-repair system fixes 10 times as many errors as its predecessors. -
Google experiments suggest that the D-Wave computer exploits quantum phenomena. -
MacArthur Fellow Dina Katabi, SM ’98, PhD ’03, exploits physical properties of radio waves to make computation more efficient. -
Formally verified working file system could lead to computers guaranteed never to lose your data. -
New network design exploits cheap, power-efficient flash memory without sacrificing speed. -
What takes coders months, CSAIL’s “Helium” can do in an hour. -
Whether “backdoor” or “front-door,” government access imperils your data, report authors say. -
New techniques developed by CSAIL researchers could help identify students at risk for dropping out of online courses. -
Matei Zaharia, assistant professor of electrical engineering and computer science, has been selected as the Douglas T. Ross (1954) Career Development Professor of Software Technology. -
Is it still an either-or choice to receive (or not) all those mailing list emails? EECS graduate student Amy Zhang working with EECS Prof. David Karger in the Computer Science and Artificial Intelligence Lab's Haystack Group, has developed a new system that uses techniques from social media to give the recipient more control over his/her inbox. Read more. -
Reported today by the Association for Computing Machinery (ACM), Matei Zaharia, Assistant Professor in the Department of Electrical Engineering and Computer Science and member of the Computer Science and Artificial Intelligence Lab (CSAIL) is the recipient of the 2014 ACM Doctoral Dissertation Award for his innovative solutions to tackling the surge in data processing workloads. Read more. -
Srini Devadas, the Edwin Sibley Webster Professor in MIT's Electrical Engineering and Computer Science Department and members of his group, the Computation Structures Group, have designed a process for thwarting memory-access attacks to steal data. Their scheme includes custom-built reconfigurable chips, now moving into fabrication. -
Daniel Sanchez, the TIBCO Career Development Professor in MIT’s Electrical Engineering and Computer Science Department and principal investigator in the MIT Computer Science and Artificial Intelligence Lab (CSAIL) has been selected for the NSF Faculty Early Career Development (CAREER) Award. His proposal, titled "A Hardware and Software Architecture for Data-Centric Parallel Computing", targets two key challenges that limit the scalability of multicore systems. Read more. -
Students and graduates of Prof. Rob Miller's group, the User Interface Design Group have designed a system for visualizing and exploring thousands of solutions to a programming problem, ultimately enhancing online teaching and learning. Members of the group including first author and EECS graduate student Elena Glassman will present their work in April at the Association for Computing Machinery's Conference on Human Factors in Computing Systems. Read more.
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