Research
Labs
Laboratory for Information and Decision Systems (LIDS)
Areas
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LIDS develops novel analytical methodologies and tools for system modeling, analysis, design, and optimization, as well as the adaptation and application of these methods to physical and man-made systems.
LIDS web site -
The Andrew (1956) and Erna Viterbi professorship was established by Dr. Andrew Viterbi, a member of the EECS Visiting Committee and pioneer in the communications field, who proposed a decoding algorithm for convolutional codes -
Boix-Adserà and Fallah, both PhD candidates in the LIDS group, were named Apple Scholars in AI/ML for 2021-22 -
Caroline Uhler blends machine learning, statistics, and biology to understand how our bodies respond to illness. -
A new algorithm offers insights into consumer spending by identifying what someone purchased from only the bill total. -
A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference. -
A new deep-learning algorithm could provide advanced notice when systems — from satellites to data centers — are falling out of whack. -
Four EECS associate professors are among 8 in the School of Engineering who have been granted tenure. -
C3.ai Digital Transformation Institute awards $5.4 million to top researchers to steer how society responds to the pandemic. -
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Longtime professor of electrical engineering was also a transformative director of the MIT Laboratory for Information and Decisions Systems. -
Isolat, a volunteer collaboration organized by the Institute for Data, Systems, and Society, informs coronavirus policy by analyzing data associated with the pandemic. -
EECS awarded Faculty Research Innovation Fellowships to (from left) Professors Wojciech Matusik, Tomas Palacios, and Armando Solar-Lezama. -
Clockwise from top left: Professors Andreas, Belay, O'Brien, Agrawal, and Reiskarimian. -
The EECS emeritus professor is being recognized for groundbreaking contributions in information and coding theory. -
With the initial organizational structure in place, the MIT Schwarzman College of Computing moves forward with implementation. -
Associate professor's research focuses on statistics, machine learning and computational biology, in particular on graphical models, causal inference, algebraic statistics, and applications to genomics. -
EECS PhD students Yuanming Hu (left) and Dimitris Tsipras were named as Facebook Fellows. The award covers tuition and fees for up to two years and includes a generous stipend. -
While at MIT, Omer Tanovic PhD '19 focused on work that he hopes "will help to solve real-world problems." -
The long-time EECS faculty member will receive the IEEE’s 2019 Jack S. Kilby Signal Processing Medal. -
Professors Dimitri Bertsekas and John Tsitsiklis are honored for “tremendous impact” of their work in operations research and the management sciences. -
The EECS department head is being recognized for “exceptional leadership and accomplishments.” -
The appointment recognizes foundational research and accomplishments in teaching and service. -
Interdisciplinary doctoral program in statistics and online MicroMasters program in statistics and data science begin this fall -
The EECS faculty member is among 28 members of the SIAM Class of 2018. -
Automated data science tools developed by MIT and Feature Labs (co-founded by two EECS alums) deliver their first AI product.
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