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Upcoming Events › LIDS Seminar Series

Distinguished speakers provide an overview and discuss recent progress in research areas spanning communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. Intended for a broad audience.

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October 2019

The Age of Information in Networks: Moments, Distributions, and Sampling

October 28, 2019 @ 4:00 pm - 5:00 pm

Roy Yates (Rutgers University)

32-155

We examine a source providing status updates to monitors through a network with state defined by a continuous-time finite Markov chain. Using an age of information (AoI) metric, we characterize timeliness by the vector of ages tracked by the monitors. Based on a stochastic hybrid systems (SHS) approach, we derive first-order linear differential equations for the temporal evolution of both the age moments and a moment generating function (MGF) of the age vector components. We show that the existence of…

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November 2019

LIDS Seminar – Sujay Sanghavi (University of Texas at Austin)

November 18, 2019 @ 4:00 pm - 5:00 pm

Sujay Sanghavi (University of Texas at Austin)

32-155

TBD Bio: ____________________________________ The LIDS Seminar Series features distinguished speakers who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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LIDS Seminar – Rayadurgam Srikant (University of Illinois at Urbana-Champaign)

November 25, 2019 @ 4:00 pm - 5:00 pm

Rayadurgam Srikant (University of Illinois at Urbana-Champaign)

32-155

TBD Bio: ____________________________________ The LIDS Seminar Series features distinguished speakers who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

Find out more »
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