Sepideh Hassan-Moghaddam

According to our database, Sepideh Hassan-Moghaddam authored at least 12 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

On the asymptotic stability of proximal algorithms for convex optimization problems with multiple non-smooth regularizers.

Ibrahim Kurban Özaslan, Sepideh Hassan-Moghaddam, Mihailo R. Jovanovic

Proceedings of the American Control Conference, 2022

2021

Proximal gradient flow and Douglas-Rachford splitting dynamics: Global exponential stability via integral quadratic constraints.

Sepideh Hassan-Moghaddam, Mihailo R. Jovanovic

Autom., 2021

2019

Data-driven proximal algorithms for the design of structured optimal feedback gains.

Sepideh Hassan-Moghaddam, Mihailo R. Jovanovic, Sean P. Meyn

Proceedings of the 2019 American Control Conference, 2019

2018

Topology Design for Stochastically Forced Consensus Networks.

Sepideh Hassan-Moghaddam, Mihailo R. Jovanovic

IEEE Trans. Control. Netw. Syst., 2018

Topology Identification via Growing a Chow-Liu Tree Network.

Sepideh Hassan-Moghaddam, Mihailo R. Jovanovic

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

On the Exponential Convergence Rate of Proximal Gradient Flow Algorithms.

Sepideh Hassan-Moghaddam, Mihailo R. Jovanovic

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Distributed proximal augmented Lagrangian method for nonsmooth composite optimization.

Sepideh Hassan-Moghaddam, Mihailo R. Jovanovic

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Distributed design of optimal structured feedback gains.

Sepideh Hassan-Moghaddam, Mihailo R. Jovanovic

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Edge addition in directed consensus networks.

Sepideh Hassan-Moghaddam, Xiaofan Wu, Mihailo R. Jovanovic

Proceedings of the 2017 American Control Conference, 2017

2016

Topology identification of undirected consensus networks via sparse inverse covariance estimation.

Sepideh Hassan-Moghaddam, Neil K. Dhingra, Mihailo R. Jovanovic

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

An interior-point method for topology identification and optimal design of noisy networks.

Sepideh Hassan-Moghaddam, Mihailo R. Jovanovic

CoRR, 2015

An interior point method for growing connected resistive networks.

Sepideh Hassan-Moghaddam, Mihailo R. Jovanovic

Proceedings of the American Control Conference, 2015