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Wireless Networks & Mobile Computing
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August 6, 2021
Two research projects on the design of state-of-the-art hardware could one day power next-generation 5G and 6G mobile networks. -
May 5, 2021
The honor recognizes “extraordinary people who help solve the world’s most urgent challenges, create meaning through art, and contribute to the common good from every field, discipline, and profession". -
December 3, 2020
In the announcement made by the Infosys Science Foundation, Balakrishnan was lauded for his groundbreaking work on computer networking and mobile and wireless systems, including the development of mobile telematics to improve driver behavior and road safety. -
November 14, 2016
Developed at Computer Science and Artificial Intelligence Laboratory, “MoVR” system allows VR headsets to communicate without a cord. -
October 3, 2016
Mayor Martin Walsh announces competition aimed at improving Boston’s driving with help from app developed by MIT spinout. -
August 23, 2016
New design should enable much more flexible traffic management, without sacrificing speed. -
March 31, 2016
System from MIT’s Computer Science and Artificial Intelligence Lab enables single WiFi access point that can locate users within tens of centimeters. -
October 21, 2015
MacArthur Fellow Dina Katabi, SM ’98, PhD ’03, exploits physical properties of radio waves to make computation more efficient. -
July 10, 2015
New network design exploits cheap, power-efficient flash memory without sacrificing speed. -
May 21, 2015
A computer vision enabled technology developed by a team of EECS faculty Bill Freeman and Frédo Durand and their students is enabling a new way to identify structural defects in objects. The group will report this latest work at the Conference on Computer Vision and Pattern Recognition in June. Read more. -
May 18, 2015
As part of the fall 2014 Assistive Technologies (6.811) class (Principles and Practices in Assistive Technologies, or PPAT), a group of EECS students teamed to develop a new way for residents of the Boston Home to communicate their needs. Since then senior Beth Hadley took on the project as her senior thesis. Read more. -
February 23, 2015
This week, at the Institute of Electrical and Electronics Engineers’ (IEEE's) International Solid-State Circuits Conference (ISSCC), the group of Anantha Chandrakasan, EECS Department Head and the Joseph F. and Nancy P. Keithley Professor in Electrical Engineering at MIT, will present a new transmitter design that reduces power leakage when transmitters are idle — greatly extending battery life and ultimately enabling the potential for the transmission of data needed for the "Internet of things". Read more. -
February 5, 2015
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. -
December 18, 2014
Vivienne Sze, core member of the Microsystems Technology Laboratories (MTL), principal investigator in the Research Laboratory of Electronics (RLE) and the Emanuel E. Landsman (1958) Career Development Professor in the Electrical Engineering and Computer Science Department (EECS), has received a 2014 Defense Advanced Research Projects Agency (DARPA) Young Faculty Award (YFA). Read more. -
September 16, 2014
Li-Shiuan Peh, professor of electrical engineering and computer science in the EECS Department at MIT has teamed to develop a new system that directs drivers using GPS to avoid traffic congestion. The work won the group one of the best-paper awards at the Intelligent Transportation Systems World Congress last week. Read more. -
August 15, 2014
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. -
July 19, 2014
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. -
June 12, 2014
EECS faculty members Dina Katabi, director of the Wireless Center at MIT's Computer Science and Artificial Intelligence Lab (CSAIL) and CSAIL colleague Robert Miller with EECS graduate students Fadel Adib and Zach Kabalec have collaborated to develop wireless technology to track a person's vital signals such as breathing (heart rate) and more from another room with no need for intrusive wearable technologies. Read more. -
June 2, 2014
MIT's Computer Science and Artificial Intelligence Lab (CSAIL) held a two day conference celebrating 50 years of computer science looking forward to the future with solutions for today's obstacles and tomorrow's solutions. Read more. -
May 19, 2014
Former associate department head and currently acting director of the Engineering Systems Division Munther Dahleh, professor of electrical engineering and computer science, has been appointed the interim director of the Laboratory for Information and Decision Systems (LIDS), effective July 1. Dahleh is also director-designate of a new entity at MIT that will focus on complex and socio-technical systems, information and decision systems, and statistics. -
April 9, 2014
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. -
February 10, 2014
Researchers at MIT’s Microsystems Technology Laboratory (MTL) including Anantha Chandrakasan, the Joseph F. and Nancy P. Keithley Professor of Electrical Engineering, recent EECS PhD graduate Marcus Yip, EECS graduate student Rui Jin and research scientist Nathan Ickes, together with physicians from Harvard Medical School and the Massachusetts Eye and Ear Infirmary (MEEI), have developed a new, low-power signal-processing chip that could lead to a cochlear implant that requires no external hardware. The implant would be wirelessly recharged -- taking just two minutes -- and would run for about eight hours on each charge. Read more. -
December 27, 2013
Electrical Engineering and Computer Science Department graduate student Mohsen Ghaffari, also a member of MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) has developed a new way to use “vertex connectivity” that could ultimately lead to communication protocols that will allow as much network bandwidth as possible. Ghaffari and members of an international team will present this work in January at the ACM-SIAM Symposium on Discrete Algorithms in Portland, Oregon. -
December 12, 2013
Prof. Dina Katabi, principal investigator in the Computer Science and Artificial Intelligence Lab at MIT working with members of her research group has developed a 3-D motion tracking system that has potential for gaming and far more. Read more in the CSAIL Dec. 12, 2013 article -
September 25, 2013
Dina Katabi, professor in the MIT EECS Department, principal investigator in the Computer Science and Artificial Intelligence Lab (CSAIL) and co-director of Wireless@MIT has been selected as a 2013 MacArthur Fellow. She is cited by the MacArthur Fellows Program for her work "at the interface of computer science and electrical engineering to improve the speed, reliability, and security of data exchange. Katabi has contributed to a range of networking issues, from protocols to minimize congestion in high-bandwidth networks to algorithms for spectrum analysis, though most of her work centers on wireless data transmission."
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