Research
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Indyk/Katabi's sparse Fourier transform (SFT) has been named to MIT Technology Review’s 2012 list of the world’s 10 most important emerging technologies. -
Prof. Martin Rinard's group has developed new mathematical framework that allows computer scientists to reason rigorously about sloppy computation. -
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Arvind and graduate students presented a new method for improving the efficiency of hardware simulations of multicore chips at the IEEE International Symposium on Performance Analysis of systems and Software. -
Testing unbuilt chips A new software-simulation system promises much more accurate evaluation of promising — but potentially fault-ridden — multicore-chip designs. -
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EECS faculty members Dina Katabi and Piotr Indyk with graduate students Eric Price and Haitham Hassanieh will present a new algorithm this week at the Association for Computing Machinery’s Symposium on Discrete Algorithms (SODA) that, for a large range of practically important cases, improves on the fast Fourier transform -- in some cases yielding a tenfold increase in speed. -
Project Angstrom’s self-aware computing has been selected by the Editors of Scientific American as one of "Ten World Changing Ideas" in the December 2011 issue. -
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"For programmers building a large application from scratch, object-oriented programming is a boon,...a new system that automatically determines how objects in a large software project interact, so it can inform latecomers which objects they will need to design certain types of functions." read more... -
EECS Associate Professor and principal investigator in the Computer Science and Artificial Intelligence Lab Li-Shiuan Peh, is part of a team that won best paper award at the Association for Computing Machinery MobiSys conference, for designing a smartphones network system that has the potential to reduce fuel consumption by 20 percent. -
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EECS/CSAIL Professors Hari Balakrishnan and Samuel Madden, working with postdoctoral associate Calvin Newport and graduate student Lenin Ravindranath have used motion detection built into portable devices, to establish multiple communications protocols which improve reception as users move around boosting network throughput by 50%. -
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Lynch builds system for collective memory - a way to preserve information in constantly changing networks, without resorting to a shared server. read more... -
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EECS/CSAIL Professors Hari Balakrishnan and Samuel Madden have been developing a way for cars to be used as ubiquitous, highly reliable mobile sensors--by developing a new algorithm to optimize the dissemination of data through a network of cars with wireless connections. -
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EECS Professors Dina Katabi and Muriel Medard have teamed to establish a new field (network coding). -
