Research

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  • Everyone has a Big Data problem. We are developing technologies for next-generation data-processing challenges, at a scale far beyond what today's platforms, algorithms, and methods can provide.

    Big data web site
  • 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.
  • As the director of MIT’s BigData@CSAIL industry initiative, and the co-director of the more research-focused Intel Science and Technology Center (ISTC) for Big Data, EECS professor and CSAIL principal investigator Sam Madden talks with the MIT News Office about the growing complexity of data. From social networks and images to real time financial transactions, Madden talks about the issues (and opportunities) of what to do with this data. Read more.
  • Today, March 12, 2014, marks the 25th anniversary of Tim Berners-Lee's proposal for managing general information about accelerators and experiments at CERN, the European Organization for Nuclear Research based in Geneva where Berners-Lee worked at the time as a software engineer. He proposed building a distributed (global) hypertext system which he initially called "Mesh" updating it a year later to the "World Wide Web" as he wrote the code. Read more.
  • CSAIL Principal Investigator Srini Devadas and three former students have been selected as the 2014 winners of the Most Influential Paper Award at a prestigious systems research conference. Read more.
  • Computer Science and Artificial Intelligence Laboratory's (CSAIL) Aude Oliva, associate professor of cognitive science at MIT's Brain and Cognitive Sciences working with her CSAIL colleagues including Antonio Torralba, associate professor in MIT's Electrical Engineering and Computer Science Department and also a member of in the MIT Computer Vision Group has developed an algorithm to slightly modify a person's face — making it more memorable without altering that person's overall appearance.
  • Professor Piotr Indyk and members of his group in the Computer Science and Artificial Intelligence Lab (CSAIL) have developed an algorithm that betters his (and Prof. Dina Katabi's) work to develop a faster than fast Fourier Transform in 2012. The new algorithm that uses the minimum possible number of samples to analyze signals has the potential to allow advances in medical devices such as magnetic resonance imaging (MRI) and nuclear magnetic resonance (NMR) machines to scan patients.
  • Using artificial intelligence tools including probabilistic graphical models, Ying Liu, EECS graduate student working with Alan Willsky, EECS professor and director of the Laboratory for Information and Decisions Systems (LIDS) has developed a technique that can efficiently infer vital information about the propagation of flight delays at U.S. airports. Liu and Willsky will present their work, which has potential application to a wide range of areas, at the Neural Information Processing Systems Foundation in early December. Read more.
  • The Big Data Initiative at the MIT Computer Science and Artificial Intelligence Lab (CSAIL) today announced two new activities aimed at improving the use and management of Big Data. The first is a series of data challenges designed to spur innovation in how people use data to solve problems and make decisions. Read more.
  • MIT EECS faculty members in the Computer Science and Artificial Intelligence Lab CSAIL Frans Kaashoek, Nickolai Zeldovich and Armando Solar-Lezama along with EECS graduate student Xi Wang have created a system they call Stack which will automatically scan programmer's code to avoid compilers from tossing bits of code that might not appear essential. Read more.
  • Daniel Sanchez, assistant professor in the MIT Electrical Engineering and Computer Science Department (EECS) and principal investigator in the Computer Science and Artificial Intelligence Lab (CSAIL) and his student Nathan Beckmann have developed a software alternative to manage high-speed on-chip memory (cache). Read more
  • The Computer Science and Artificial Intelligence Lab (CSAIL) announced on July 25, 2013 that Professor William Freeman has been honored with the Test of Time Award for his paper "Orientation Histograms for Hand Gesture Recognition,” co-written by Michal Roth in 1995. The award was presented at the 2013 IEEE Automatic Face and Gesture Recognition Conference in Shanghai, China.
  • Researchers from CSAIL and Center for Wireless Networks and Mobile Computing have developed a TCP congestion-control system called Remy, which they will present at the annual conference of the Association for Computing Machinery’s Special Interest Group on Data Communications. Hari Balakrishnan, the Fujitsu Professor of Electrical Engineering and Computer Science and EECS graduate student Keith Winstein are the authors of the work titled "TCP ex Machina: Computer-Generated Congestion Control".
  • EECS Professors Regina Barzilay and Martin Rinard (and their respective graduate students Nate Kushman and Tao Lei) have demonstrated that ordinary language can be used (in specific cases) to aid in generating code for computer programs. Read more
  • Faculty members in the Electrical Engineering and Computer Science Department at MIT are converging on a wide range of research issues through game theory, which used to be a staple of economics research in the 1950s. EECS faculty members Asuman Ozdaglar, Costis Daskalakis, Munther Dahleh, and Silvio Micali discuss their approaches in this Technology Review feature. Read more.
  • As noted on the CSAIL website: The Simons Foundation has announced that Professor Piotr Indyk has been selected as a Simons Investigator. Indyk is one of 13 mathematicians, theoretical physicists and computer scientists named as 2013 Simons Investigators and one of two professors at MIT selected for the honor. Read more
  • Srini Devadas, the Edwin Sibley Webster Professor of Electrical Engineering and Computer Science, and members of the Computational Structures Group in the Computer Science and Artificial Intelligence Lab (CSAIL) have developed a new system that not only disguises a server's memory-access patterns, but also prevents attacks that rely on how long computations take.
  • In a paper they are presenting this summer at the Institute of Electrical and Electronics Engineers’ Computer Vision and Pattern Recognition conference, EECS graduate student Guha Balakrishnan and his advisors, both faculty members in the MIT EECS Department, John Guttag and Fredo Durand, describe a new algorithm they developed to measure the heart rates of people in video. The algorithm allows for analyzing the digital data for small imperceptible movements that are caused by the rush of blood from the heart's contractions. Data could ultimately aid in predicting heart disease.
  • Kuang Xu, a graduate student in the Department of Electrical Engineering and Computer Science [photo, right], and his advisor, John Tsitsiklis, the Clarence J. Lebel Professor of Electrical Engineering, have demonstrated in a series of recent papers that a little versatility in operations management, cloud computing and even health-care delivery and manufacturing could save exponential reduction in delays.
  • The Association for Computing Machinery (ACM) has announced that it is honoring Professor Piotr Indyk and Professor Dina Katabi for their innovations in computing technology. Indyk has been named one of the recipients of the Paris Kanellakis Theory and Practice Award, which honors specific theoretical accomplishments that have had a significant and demonstrable effect on the practice of computing. Katabi has been honored as one of the recipients of the Grace Murray Hopper Award, which recognizes the outstanding young computer professionals of the year.
  • Professor Rob Miller is one of four MIT faculty selected as 2013 MacVicar Faculty Fellow for outstanding undergraduate teaching, mentoring and educational innovation. One recommender wrote: “I think Rob embodies the ideal of an MIT teacher — caring, engaging, tirelessly working on behalf of the students, eliciting respect, admiration, and joy from the students.”
  • Researchers working with EECS faculty member and CSAIL principal investigator Samuel Madden, are developing a new system called DBSeer to address the realities of cloud computing -- particularly database applications requiring over expenditure for hardware. In June, Professor Madden and members of the MIT Database Group including first author of two papers on this work, postdoctoral associate Barzan Mozafari will present their work at the annual meeting of the Association for Computing Machinery’s Special Interest Group on Management of Data (SIGMOD).
  • "In our heads it's like a big world of small motions out there." Bill Freeman, professor of electrical engineering and computer science and associate department head of the Electrical Engineeering and Computer Science Department at MIT describes in a NY Times video his software that enables video magification to see what we can't normally see but might like to.
  • Anant Agarwal, president of edX, the worldwide, online learning initiative of MIT and Harvard University and professor in the Department of Electrical Engineering and Computer Science at MIT has been elected to the National Academy of Engineering (NAE). He is recognized “for contributions to shared-memory and multicore computer architectures.”
  • With the fall 2012 launch of the bigdata@csail center, which represents a focused effort to understand and put to good use the huge amounts of data generated all the time, a handful of members of the Electrical Engineering and Computer Science Department at MIT are contributing specifically to medical applications. The MIT News Office has featured the work of Peter Szolovits, John Guttag, Alan Willsky and -- perhaps at the heart of abstractly looking at big data and medicine -- former EECS undergraduate and masters degree student David Rashef, now an MD/PhD student with the Harvard-MIT Health Sciences and Technology (HST) program. Read more...