Research
Labs
Areas
I - Information Systems
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At the interface between computation and the physical world, we study the fundamental sciences of systems, networks, and information, and their application to engineering design.
Area I: Information Systems -
New programming language delivers fourfold speedups on problems common in the age of big data. -
Assistant professor of electrical engineering and computer science discusses his work focusing on learning graphical models from data. -
New general-purpose optimization algorithm promises order-of-magnitude speedups on some problems. -
Combining MRI and other data helps machine-learning systems predict effects of neurodegenerative disease. -
System can convert MRI scans into 3D-printed, physical models in a few hours. -
New model predicts wind speeds more accurately with three months of data than others do with 12. -
MIT professors’ choice-modeling software predicts customer preferences for retailers. -
The members of Voltage, a new group in MIT’s Electrical Engineering and Computer Science Department, want to interest more freshmen and Course 6 students in the field of Electrical Engineering (EE). Sponsored by MIT IEEE/ACM, the group is working to build a cohesive network for students in both the EE degree program (6-1) as well as for students leaning to EE in the EECS degree program (6-2) — offering support and resources in academics, research and careers. Read more. -
Munther Dahleh, the William A. Coolidge Professor in the Department of Electrical Engineering and Computer Science, will head a new Institute for Data, Systems, and Society (IDSS) to be launched on July 1. Offering a range of cross-disciplinary academic programs, including a new undergraduate minor in statistics, IDSS will be home to faculty from the Engineering Systems Division (ESD), the Laboratory for Information and Decision Systems(LIDS), and the current Sociotechnical Systems Research Center (SSRC). Read more. -
MIT Electrical Engineering and Computer Science Department Head Anantha Chandrakasan and Associate Department Heads Bill Freeman, Silvio Micali, and David Perreault announced in February 2015, the promotions of eight faculty members in the department. Professors Adalsteinsson, Daniel, Golland, and Torralba are promoted to full professor. Professors Chilpala, Polyanskiy and Vaikuntanathan are promoted to associate professor. The promotions are effective July 1, 2015. Read more. -
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. -
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.MTL, RLE, I-InfoSys, I-Circuits, II-AI, II-Systems, Energy, Wireless -
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. -
Using Bayesian regression, Devavrat Shah, member of the Laboratory for Information and Decision Systems and the Computer Science and Artificial Intelligence Lab (LIDS) and recent graduate student Kang Zhang have identified patterns from five months of price data from all major Bitcoin exhanges — enabling them to predict the price of Bitcoin — thereby allowing them to double their investment over a 50 day period. 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 member, Robert Berwick, principal investigator in the Laboratory for Information and Decision Systems (LIDS) has teamed with MIT Linguistics and Philosophy professor Shigeru Miyagawa to reinforce the thesis that human language development is based on bird song and other primates communication. Read more. -
LIDS researcher pairs new sensor and algorithm for faster data intake and potentially nimbler robotsLaboratory for Information and Decision Systems (LIDS) research scientist Andrea Censi has paired a neuromorphic sensor with lightening speed camera data intake with a new algorithm to give robots a new enhanced sensory system. Read more. -
Electrical Engineering and Computer Science (EECS) Department Head Anantha Chandrakasan announced today the appointment of Professor Munther A. Dahleh to the William A. Coolidge Professorship at MIT. Read more. -
Unlike addressing the problem of object detection, a major area of research in computer vision, Prof. Bill Freeman, principal investigator in the Computer Science and Artificial Intelligence Lab (CSAIL) and associate department head in MIT's Electrical Engineering and Computer Science (EECS) Department, has worked with EECS graduate student Andrew Owens and colleagues from the University of Virginia, the Woods Hole Oceanographic Institute and Flyby Media to .... Read more. -
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. -
Muriel Médard, professor of electrical engineering and computer science in the MIT EECS Department and principal investigator in the Research Laboratory of Electronics (RLE) at MIT, has been awarded, with co-authors Josu Bilbao, Aitor Calvo, Igor Armendariz, and Pedro Crespo, the Best Paper Award for their work “Reliable Communications with Network coding in narrowband Powerline Channel.” They presented this work at the IEEE International Symposium on Power Line Communications and its Applications (ISPLC 2014) in Glasgow in March. Read more.
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Muriel Médard has been appointed as the Cecil H. Green Professor of Electrical Engineering and Computer Science. In announcing this appointment, Department Head Anantha Chandrakasan shared the following message with his EECS colleagues. 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. -
Professor Alan Willsky, has been selected to receive the 2013 SPS Society Award of the IEEE Signal Processing Society (SPS). Willsky is the Edwin Sibley Webster professor of electrical engineering and computer science and director of the MIT Laboratory for Information and Decision Systems (LIDS) at MIT. Read more. -
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.
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