Research
Labs
Areas
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.
Information Systems -
A long-time department head who established the MEng degree for EECS undergraduates, Penfield developed courses illuminating the equivalence of information and thermodynamic entropy. -
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". -
A new algorithm offers insights into consumer spending by identifying what someone purchased from only the bill total. -
AAAI Fellows are selected in recognition of their significant and extended contributions to the field (contributions which typically span a decade or more), including technical results, publications, patent awards, and contributions to group efforts. -
Thomas Shi-Tao Huang SM ’60, ScD ’63, a former professor of Electrical Engineering at MIT, passed away on April 25, 2020, three months after the death of his beloved wife Margaret. A pioneer in image processing and compression, computer vision, pattern recognition, multimedia retrieval, and human-computer interaction, Huang’s breadth and depth of scholarship was informed by a wide-ranging appetite for music and art. -
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. -
This summer has seen three new career development chairs appointed within the EECS faculty: Kevin Chen, Jonathan Ragan-Kelley, and Mengjia Yan. Meet the new chairs here. -
July saw two new chair appointments within the department’s leadership. Please join us in congratulating Asu Ozdaglar and Joel Voldman on their accomplishments, and learn more about the new chairs here.MTL, RLE, InfoSys, ApplPhysDev, Biomed, Systems, Theory, bio-EECS, Connections, Multicore -
EECS alumna and industry leader returns to campus for the June 8 ceremony. -
MEng student Keertan Kini reflects on his work at the intersection of policy and technology, inside MIT and out. -
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. -
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.CSAIL, LIDS, InfoSys, AI, Connections -
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.
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