Ahmed S. Zamzam

Orcid: 0000-0002-1175-2801

According to our database1, Ahmed S. Zamzam authored at least 44 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Unsupervised Learning for Equitable DER Control.
CoRR, 2024

Equitable Networked Microgrid Topology Reconfiguration for Wildfire Risk Mitigation.
CoRR, 2024

2023
Solving Decision-Dependent Games by Learning from Feedback.
CoRR, 2023

Interpreting Primal-Dual Algorithms for Constrained Multiagent Reinforcement Learning.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Managing Wildfire Risk and Promoting Equity through Optimal Configuration of Networked Microgrids.
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Multiarea Distribution System State Estimation via Distributed Tensor Completion.
IEEE Trans. Smart Grid, 2022

Large Scale Tensor Factorization via Parallel Sketches.
IEEE Trans. Knowl. Data Eng., 2022

Efficient Region of Attraction Characterization for Control and Stabilization of Load Tap Changer Dynamics.
IEEE Trans. Control. Netw. Syst., 2022

Learning-Accelerated ADMM for Distributed DC Optimal Power Flow.
IEEE Control. Syst. Lett., 2022

Interpreting Primal-Dual Algorithms for Constrained MARL.
CoRR, 2022

Enabling Grid-Aware Market Participation of Aggregate Flexible Resources.
CoRR, 2022

Multi-Area Distribution System State Estimation via Distributed Tensor Completion.
CoRR, 2022

OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets.
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

Data-Driven Chance-Constrained Design of Voltage Droop Control for Distribution Networks.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

PowerGridworld: a framework for multi-agent reinforcement learning in power systems.
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

Secure Control Regions for Distributed Stochastic Systems with Application to Distributed Energy Resource Dispatch.
Proceedings of the American Control Conference, 2022

2021
Cell-Edge Detection via Selective Cooperation and Generalized Canonical Correlation.
IEEE Trans. Wirel. Commun., 2021

Exactness of OPF Relaxation on Three-Phase Radial Networks With Delta Connections.
IEEE Trans. Smart Grid, 2021

Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection.
IEEE Trans. Knowl. Data Eng., 2021

Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition.
IEEE Control. Syst. Lett., 2021

Network-Cognizant Time-Coupled Aggregate Flexibility of Distribution Systems Under Uncertainties.
IEEE Control. Syst. Lett., 2021

Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning.
CoRR, 2021

Enhancement of Distribution System State Estimation Using Pruned Physics-Aware Neural Networks.
CoRR, 2021

Substation-Level Grid Topology Optimization Using Bus Splitting.
Proceedings of the 2021 American Control Conference, 2021

2020
GRATE: Granular Recovery of Aggregated Tensor Data by Example.
CoRR, 2020

Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Phased: Phase-Aware Submodularity-Based Energy Disaggregation.
Proceedings of the NILM '20, 2020

Multi-Area Model-Free State Estimation via Distributed Tensor Decomposition.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Optimal Water-Power Flow-Problem: Formulation and Distributed Optimal Solution.
IEEE Trans. Control. Netw. Syst., 2019

Energy Storage Management via Deep Q-Networks.
CoRR, 2019

Physics-Aware Neural Networks for Distribution System State Estimation.
CoRR, 2019

2018
Power System State Estimation via Feasible Point Pursuit: Algorithms and Cramér-Rao Bound.
IEEE Trans. Signal Process., 2018

Beyond Relaxation and Newton-Raphson: Solving AC OPF for Multi-Phase Systems With Renewables.
IEEE Trans. Smart Grid, 2018

Learning-Based Antenna Selection for Multicasting.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

ParaSketch: Parallel Tensor Factorization via Sketching.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Imputation of Coupled Tensors and Graphs.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Optimal Distributed Energy Storage Management Using Relaxed Dantzig-Wolfe Decomposition.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Decentralized power system state estimation via non-convex multi-agent optimization.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Distributed optimal power flow using feasible point pursuit.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
Power system state estimation via feasible point pursuit.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Coupled graph tensor factorization.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
On the Degrees of Freedom of the Two-Cell Two-Hop MIMO Network With Dedicated and Shared Relays.
IEEE Trans. Wirel. Commun., 2015

2014
Degrees of freedom for a two-cell relay network with soft handoffs.
Proceedings of the IEEE Global Communications Conference, 2014


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