Big Data

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  • Five members of the Electrical Engineering and Computer Science Department of a total of eight MIT faculty have been elected to the National Academy of Engineering including Hari Balakrishnan, Sangeeta Bhatia, Anantha Chandrakasan, L. Rafael Reif and Daniela Rus. Read more.
  • A record number of Fellow selections from any single institution marks the election by the Association of Computing Machinery (ACM) of five CSAIL researchers and members of the MIT Electrical Engineering and Computer Science Department to ACM 2014 Fellow. The ACM has cited Srini Devadas, Eric Grimson, Robert Morris, Ronitt Rubinfeld and Daniela Rus for "providing key knowledge" to computing.
  • Professor Muriel Medard working with EECS graduate student Flavio du Pin Calmon and researchers from Maynooth University in Ireland have shown that since existing practical cryptographic schemes demonstrate elements of information-theoretic security thereby preventing extraction of some of their data — it is possible to calculate minimum-security guarantees for any given encryption scheme — enabling information managers to make more informed decisions about how to protect data. Read more.
  • Getting to the source of data-visualization aberrations is a big problem in big data. EECS doctoral student Eugene Wu with Sam Madden, professor of computer science and engineering in the Computer Science and Artificial Intelligence Lab (CSAIL) have released a new tool, called DBWipes, that pinpoints aberrations and determines which data sources to investigate. Read more.
  • Paying attention to the data that says MOOC learning is limited because of high drop rates and other negatives, CSAIL researchers have noted that students need help learning how to watch the videos and these researchers have developed a new way for students to learn how to watch MOOC videos called LectureScape. Read more.
  • EECS faculty members Hari Balakrishnan and Devavrat Shah with EECS graduate students Jonathan Perry, and Amy Ousterhout, and Hans Fugal of Facebook have devised a new system to reduce delay time in data center queues. Using Fastpass, the name given to the new system, the group has experimentally reduced the average queue length of routers by as much as 99.6 percent in a Facebook data center. Read more.
  • Bernard Haeupler, PhD '13, has been selected by the Association of Computing Machinery (ACM) as recipient of the 2014 Doctoral Dissertation Award in Distributed Computing. Dr. Haeupler completed his thesis “Probabilistic Methods for Distributed Information Dissemination” in June 2013 under the co-supervision of Professors Jonathan Kelner, Muriel Médard, and David Karger at MIT.

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