Professor Emeritus Michael Athans, pioneer in control theory, dies at 83
Longtime professor of electrical engineering was also a transformative director of the MIT Laboratory for Information and Decisions Systems.
Topic
Laboratory for Information and Decision Systems (LIDS)
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A data-driven response to a pandemic
Isolat, a volunteer collaboration organized by the Institute for Data, Systems, and Society, informs coronavirus policy by analyzing data associated with the pandemic.
Shedding light on complex power systems
Senior Research Scientist Marija Ilic is making electric energy systems future-ready.
Annual Women in Data Science conference discusses fake news
WiDS Cambridge, co-hosted by the Institute for Data, Systems, and Society, recognizes and empowers women in STEM across a variety of disciplines.
A human-machine collaboration to defend against cyberattacks
PatternEx merges human and machine expertise to spot and respond to hacks.
Drawing daily doodles: Chalk of the Day brightens MIT
Chalk of the Day, an MIT student group, draws beautiful daily works of art on the chalk wall in Building 32.
Robert Gallager wins 2020 Japan Prize
The EECS emeritus professor is recognized for groundbreaking contributions in information and coding theory.
A college for the computing age
With the initial organizational structure in place, the MIT Schwarzman College of Computing moves forward with implementation.
Sending clearer signals
Associate Professor Yury Polyanskiy is working to keep data flowing as the “internet of things” becomes a reality.
Model beats Wall Street analysts in forecasting business financials
Using limited data, this automated system predicts a company’s quarterly sales.
System helps smart devices find their position
Connected devices can now share position information, even in noisy, GPS-denied areas.
Portraits of mentoring excellence
Committed to Caring honors professors Modiano, Kelly, and Li, and calls for nominations.
IDSS hosts inaugural Learning for Dynamics and Control conference
L4DC explored an emerging scientific area at the intersection of real-time physical data, machine learning, control theory, and optimization.
Making wireless communication more energy efficient
Along with studying theory, "it's also important to me that the work we are doing will help to solve real-world problems,” says LIDS student Omer Tanovic.
Spotting objects amid clutter
New approach quickly finds hidden objects in dense point clouds, for use in driverless cars or work spaces with robotic assistants.