Dahleh is appointed to William A. Coolidge Professorship
Coolidge chair was established in 1988 to honor devoted member of MIT Corporation
Topic
Laboratory for Information and Decision Systems (LIDS)
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School of Engineering awards for 2014
Awards given to outstanding faculty, and graduate and undergraduate students
Think fast, robot
Algorithm that harnesses data from a new sensor could make autonomous robots more nimble.
Dahleh appointed leader in LIDS
Planning the next steps for information and decisions systems at MIT.
Dahleh appointed to new roles
Leading ESD and planning for a potential MIT-wide effort in the areas of socio-technical systems, information and decision systems, and statistics.
Machine learning branches out
An algorithm that extends an artificial-intelligence technique to new tasks could aid in analysis of flight delays and social networks.
From theory to practice
PhD student Kuang Xu has found a way to apply predictive modeling to improve emergency-room wait times.
How computers can learn better
With a recently released programming framework, researchers show that a new machine-learning algorithm outperforms its predecessors.
Valuing versatility
In an age of specialization, a little versatility could improve operations management, cloud computing, and possibly even the provision of health care.
Can control theory make software better?
Techniques used to ensure that airplanes won’t stall out in flight could be adapted to prove that computer programs won’t divide by zero.
Networks of probability
Devavrat Shah spans disciplines by looking at networks probabilistically and probabilities as networks.
Ozdaglar selected as the inaugural Steven and Renee Finn Innovation Fellow
The fellowship provides tenured, mid-career faculty in the Department of Electrical Engineer and Computer Science with resources for up to three years to pursue new research and development paths.
Speed limit for birds
MIT researchers find critical speed above which birds — and drones — are sure to crash.
Smarter robot arms
A combination of two algorithms developed at MIT allows autonomous robots to execute tasks much more efficiently — and move more predictably.