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Project Highlight: Approximate Dynamic Programming Using Bellman Residual Elimination

Markov Decision Processes (MDPs) are a powerful and general framework for addressing problems involving sequential decision-making under uncertainty.  Such problems occur ...

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Project Highlight: Market Mechanisms for Matching Supply and Demand in Smart Power Grids

In the transformation of today’s power grids to smart grids, a major challenge to be overcome is to offset the supply-side ...

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Project Highlight: Classification and Dimensionality Reduction Using Geometric Level Set Methods

Shell International uses noisy measurements to tell the difference between two types of rock, sandstone and shale, which is useful for ...

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Project Highlight: Large-Deviation Analysis for the Learning of Markov Tree Structures

Learning the structure of a graphical model (or Bayesian network) from data is a fundamental task in many scientific domains. In this work, ...

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Project Highlight: Non-monotonic Lyapunov Functions for Analysis of Nonlinear Systems

Lyapunov’s stability theorem and its many variants comprise a central core of control theory and have a wide array of applications ranging from ...

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Project Highlight: Communication and Learning in Social Networks

Most individuals form their opinions about the quality of products, social trends and political issues via their interactions in social and economic ...

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Project Highlight: Sum of Squares and Polynomial Convexity

Given a multivariate polynomial how can we decide if it is globally nonnegative? This basic question appears ubiquitously in various areas ...

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Project Highlight: Scaling Laws for Heterogeneous Wireless Networks

We develop approximate asymptotic characterizations of the performance of large heterogeneous wireless networks. We consider the impact of location, traffic, and service heterogeneity. ...

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Project Highlight: Decentralized Spacecraft Formation Flight

The objective of this research is the development of control mechanisms for spacecraft formation flight with minimal information transfer between spacecraft. The ...

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Project Highlight: Influence of a Degraded Environment on Airspace Safety

The current air transportation system (ATS) is being pushed to operate ever closer to its critical capacity, leading to increases in both the ...

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Project Highlight: Finding the Culprit

In many scenarios such as the spread of viruses in computer networks, the spread of (mis)information in social networks and even the spread ...

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LIDS NEWS

June 2013: LIDS Alum Lav Varshney's Work Hits the Media

LIDS Alum Lav Varshney's work at IBM Research on computational creativity was featured in IEEE Spectrum, Time, Fast Company, The New Yorker, NBC News, The New York Times, and NPR (All Things Considered).

May 2013: MIT News Features Work by Post-doc Alborz Geramifard

MIT News featured work by LIDS post-doc Alborz Geramifard in the article How Computers Can Learn Better. Alborz works with Prof. Jon How.

May 2013: LIDS Professor and Alum Win WiOpt Best Paper Award

Prof. Eytan Modiano, his student (and LIDS alum) Krishna Jagganathan, and their collaborator at Qualcomm received the IEEE WiOpt 2013 best paper award for their paper, "Scheduling Strategies to Mitigate the Impact of Bursty Traffic in Wireless Networks".
LIDS EVENTS
The LIDS Commencement Reception will be held on June 7, 2013 at 2pm in the LIDS 6th Floor Lounge.