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Sepideh Hassan Moghaddam
Sepideh Hassan Moghaddam
PhD candidate, Electrical Engineering, University of Southern California
Verified email at usc.edu - Homepage
Title
Cited by
Cited by
Year
Topology identification of undirected consensus networks via sparse inverse covariance estimation
S Hassan-Moghaddam, NK Dhingra, MR Jovanović
2016 IEEE 55th Conference on Decision and Control (CDC), 4624-4629, 2016
482016
Topology design for stochastically forced consensus networks
S Hassan-Moghaddam, MR Jovanović
IEEE Transactions on Control of Network Systems 5 (3), 1075-1086, 2017
362017
Proximal gradient flow and Douglas–Rachford splitting dynamics: Global exponential stability via integral quadratic constraints
S Hassan-Moghaddam, MR Jovanović
Automatica 123, 109311, 2021
312021
An interior point method for growing connected resistive networks
SH Moghaddam, MR Jovanović
2015 American Control Conference (ACC), 1223-1228, 2015
232015
Edge addition in directed consensus networks
S Hassan-Moghaddam, X Wu, MR Jovanović
2017 American Control Conference (ACC), 5592-5597, 2017
112017
On the exponential convergence rate of proximal gradient flow algorithms
S Hassan-Moghaddam, MR Jovanović
2018 IEEE Conference on Decision and Control (CDC), 4246-4251, 2018
92018
Distributed design of optimal structured feedback gains
S Hassan-Moghaddam, MR Jovanović
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 6586-6591, 2017
82017
Customized algorithms for growing connected resistive networks
SH Moghaddam, MR Jovanović
IFAC-PapersOnLine 49 (18), 968-973, 2016
62016
Distributed proximal augmented Lagrangian method for nonsmooth composite optimization
S Hassan-Moghaddam, MR Jovanović
2018 Annual American Control Conference (ACC), 2047-2052, 2018
52018
An interior-point method for topology identification and optimal design of noisy networks
S Hassan-Moghaddam, MR Jovanovic
arXiv preprint arXiv:1506.03437, 2015
42015
Data-driven proximal algorithms for the design of structured optimal feedback gains
S Hassan-Moghaddam, MR Jovanović, S Meyn
2019 American Control Conference (ACC), 5846-5850, 2019
32019
On the asymptotic stability of proximal algorithms for convex optimization problems with multiple non-smooth regularizers
IK Ozaslan, S Hassan-Moghaddam, MR Jovanović
2022 American Control Conference (ACC), 132-137, 2022
22022
Topology identification via growing a chow-liu tree network
S Hassan-Moghaddam, MR Jovanović
2018 IEEE Conference on Decision and Control (CDC), 5421-5426, 2018
22018
Topology identification and optimal design of noisy consensus networks
S Hassan-Moghaddam, MR Jovanovic
arXiv preprint arXiv:1506.03437, 2016
22016
Global exponential stability of the Douglas-Rachford splitting dynamics
S Hassan-Moghaddam, MR Jovanović
IFAC-PapersOnLine 53 (2), 7350-7354, 2020
2020
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