2 citations · 3 across the 6 of their papers we have counts for
5 papers · 1 filter
Parameter Estimation in Epidemic Spread Networks Using Limited Measurements
Lintao Ye, Philip E. Paré, Shreyas Sundaram
We study the problem of estimating the parameters (i.e., infection rate and recovery rate) governing the spread of epidemics in networks. Such parameters are typically estimated by…
The Effect of Population Flow on Epidemic Spread: Analysis and Control
Brooks Butler, Ciyuan Zhang, Ian Walter +3
In this paper, we present a discrete-time networked SEIR model using population flow, its derivation, and assumptions under which this model is well defined. We identify properties…
Estimation and Distributed Eradication of SIR Epidemics on Networks
Ciyuan Zhang, Humphrey Leung, Brooks Butler +1
This work examines the discrete-time networked SIR (susceptible-infected-recovered) epidemic model, where the infection and recovery parameters may be time-varying. We provide a su…
Maximizing Privacy in MIMO Cyber-Physical Systems Using the Chapman-Robbins Bound
Rijad Alisic, Marco Molinari, Philip E. Paré +1
Privacy breaches of cyber-physical systems could expose vulnerabilities to an adversary. Here, privacy leaks of step inputs to linear-time-invariant systems are mitigated through a…
Bounding Privacy Leakage in Smart Buildings
Rijad Alisic, Marco Molinari, Philip E. Paré +1
Smart building management systems rely on sensors to optimize the operation of buildings. If an unauthorized user gains access to these sensors, a privacy leak may occur. This pape…