Degrees of freedom for a two-cell relay network with soft handoffs. - Ahmed S. Zamzam; Amr El-Keyi; Mohammed Nafie; Yahya Mohasseb (GLOBECOM, 2014)

On the Degrees of Freedom of the Two-Cell Two-Hop MIMO Network With Dedicated and Shared Relays. - Ahmed S. Zamzam; Amr El-Keyi; Mohammed Nafie; Yahya Mohasseb (IEEE Trans. Wirel. Commun., 2015)

Coupled graph tensor factorization. - Ahmed S. Zamzam; Vassilis N. Ioannidis; Nicholas D. Sidiropoulos (ACSSC, 2016)

Power system state estimation via feasible point pursuit. - Gang Wang 014; Ahmed S. Zamzam; Georgios B. Giannakis; Nicholas D. Sidiropoulos (GlobalSIP, 2016)

Distributed optimal power flow using feasible point pursuit. - Ahmed S. Zamzam; Xiao Fu 001; Emiliano Dall'Anese; Nicholas D. Sidiropoulos (CAMSAP, 2017)

Decentralized power system state estimation via non-convex multi-agent optimization. - Aritra Konar; Ahmed S. Zamzam; Nicholas D. Sidiropoulos (GlobalSIP, 2017)

Optimal Distributed Energy Storage Management Using Relaxed Dantzig-Wolfe Decomposition. - Ahmed S. Zamzam; Emiliano Dall'Anese; Nicholas D. Sidiropoulos (CDC, 2018)

Imputation of Coupled Tensors and Graphs. - Vassilis N. Ioannidis; Ahmed S. Zamzam; Georgios B. Giannakis; Nikolas D. Sidiropoulos (GlobalSIP, 2018)

ParaSketch: Parallel Tensor Factorization via Sketching. - Bo Yang; Ahmed S. Zamzam; Nicholas D. Sidiropoulos (SDM, 2018)

Learning-Based Antenna Selection for Multicasting. - Mohamed Salah Ibrahim; Ahmed S. Zamzam; Xiao Fu 001; Nicholas D. Sidiropoulos (SPAWC, 2018)

Beyond Relaxation and Newton-Raphson: Solving AC OPF for Multi-Phase Systems With Renewables. - Ahmed S. Zamzam; Nicholas D. Sidiropoulos; Emiliano Dall'Anese (IEEE Trans. Smart Grid, 2018)

Power System State Estimation via Feasible Point Pursuit: Algorithms and Cramér-Rao Bound. - Gang Wang 014; Ahmed S. Zamzam; Georgios B. Giannakis; Nicholas D. Sidiropoulos (IEEE Trans. Signal Process., 2018)

Physics-Aware Neural Networks for Distribution System State Estimation. - Ahmed S. Zamzam; Nicholas D. Sidiropoulos (CoRR, 2019)

Energy Storage Management via Deep Q-Networks. - Ahmed S. Zamzam; Bo Yang; Nicholas D. Sidiropoulos (CoRR, 2019)

Optimal Water-Power Flow-Problem: Formulation and Distributed Optimal Solution. - Ahmed S. Zamzam; Emiliano Dall'Anese; Changhong Zhao; Josh A. Taylor; Nicholas D. Sidiropoulos (IEEE Trans. Control. Netw. Syst., 2019)

Multi-Area Model-Free State Estimation via Distributed Tensor Decomposition. - Yajing Liu; Ahmed S. Zamzam; Andrey Bernstein (ACSSC, 2020)

Phased: Phase-Aware Submodularity-Based Energy Disaggregation. - Faisal M. Almutairi; Aritra Konar; Ahmed S. Zamzam; Nicholas D. Sidiropoulos (NILM@SenSys, 2020)

Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow. - Ahmed S. Zamzam; Kyri Baker (SmartGridComm, 2020)

GRATE: Granular Recovery of Aggregated Tensor Data by Example. - Ahmed S. Zamzam; Bo Yang; Nicholas D. Sidiropoulos (CoRR, 2020)

Substation-Level Grid Topology Optimization Using Bus Splitting. - Yuqi Zhou; Ahmed S. Zamzam; Andrey Bernstein; Hao Zhu 001 (ACC, 2021)

Enhancement of Distribution System State Estimation Using Pruned Physics-Aware Neural Networks. - Minh-Quan Tran; Ahmed S. Zamzam; Phuong H. Nguyen (CoRR, 2021)

Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning. - Rakshit Naidu; Harshita Diddee; Ajinkya Mulay; Aleti Vardhan; Krithika Ramesh; Ahmed S. Zamzam (CoRR, 2021)

Network-Cognizant Time-Coupled Aggregate Flexibility of Distribution Systems Under Uncertainties. - Bai Cui; Ahmed S. Zamzam; Andrey Bernstein (IEEE Control. Syst. Lett., 2021)

Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition. - Ahmed S. Zamzam; Yajing Liu; Andrey Bernstein (IEEE Control. Syst. Lett., 2021)

Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection. - Vassilis N. Ioannidis; Ahmed S. Zamzam; Georgios B. Giannakis; Nicholas D. Sidiropoulos (IEEE Trans. Knowl. Data Eng., 2021)

Exactness of OPF Relaxation on Three-Phase Radial Networks With Delta Connections. - Fengyu Zhou; Ahmed S. Zamzam; Steven H. Low; Nicholas D. Sidiropoulos (IEEE Trans. Smart Grid, 2021)

Cell-Edge Detection via Selective Cooperation and Generalized Canonical Correlation. - Mohamed Salah Ibrahim; Ahmed S. Zamzam; Aritra Konar; Nicholas D. Sidiropoulos (IEEE Trans. Wirel. Commun., 2021)

Secure Control Regions for Distributed Stochastic Systems with Application to Distributed Energy Resource Dispatch. - Joshua Comden; Ahmed S. Zamzam; Andrey Bernstein (ACC, 2022)

PowerGridworld: a framework for multi-agent reinforcement learning in power systems. - David Biagioni; Xiangyu Zhang 010; Dylan Wald; Deepthi Vaidhynathan; Rohit Chintala; Jennifer King; Ahmed S. Zamzam (e-Energy, 2022)

Data-Driven Chance-Constrained Design of Voltage Droop Control for Distribution Networks. - Joshua Comden; Ahmed S. Zamzam; Andrey Bernstein (HICSS, 2022)

OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets. - Trager Joswig-Jones; Kyri Baker; Ahmed S. Zamzam (ISGT, 2022)

Multi-Area Distribution System State Estimation via Distributed Tensor Completion. - Yajing Liu; Ahmed S. Zamzam; Andrey Bernstein (CoRR, 2022)

Enabling Grid-Aware Market Participation of Aggregate Flexible Resources. - Bai Cui; Ahmed S. Zamzam; Andrey Bernstein (CoRR, 2022)

Interpreting Primal-Dual Algorithms for Constrained MARL. - Daniel Tabas; Ahmed S. Zamzam; Baosen Zhang (CoRR, 2022)

Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. - David Biagioni; Peter A. Graf; Xiangyu Zhang 010; Ahmed S. Zamzam; Kyri Baker; Jennifer King (IEEE Control. Syst. Lett., 2022)

Efficient Region of Attraction Characterization for Control and Stabilization of Load Tap Changer Dynamics. - Bai Cui; Ahmed S. Zamzam; Guido Cavraro; Andrey Bernstein (IEEE Trans. Control. Netw. Syst., 2022)

Large Scale Tensor Factorization via Parallel Sketches. - Bo Yang; Ahmed S. Zamzam; Nicholas D. Sidiropoulos (IEEE Trans. Knowl. Data Eng., 2022)

Multiarea Distribution System State Estimation via Distributed Tensor Completion. - Yajing Liu; Ahmed S. Zamzam; Andrey Bernstein (IEEE Trans. Smart Grid, 2022)

Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning. - Patrick Emami; Xiangyu Zhang 010; David Biagioni; Ahmed S. Zamzam (CDC, 2023)

Managing Wildfire Risk and Promoting Equity through Optimal Configuration of Networked Microgrids. - Sofia Taylor; Gabriela Setyawan; Bai Cui; Ahmed S. Zamzam; Line A. Roald (e-Energy, 2023)

Interpreting Primal-Dual Algorithms for Constrained Multiagent Reinforcement Learning. - Daniel Tabas; Ahmed S. Zamzam; Baosen Zhang (L4DC, 2023)

Joint Expansion Planning of Power and Water Distribution Networks. - Sai Krishna Kanth Hari; Ahmed S. Zamzam; Byron Tasseff; Russell Bent; Clayton Barrows (CoRR, 2023)

Solving Decision-Dependent Games by Learning from Feedback. - Killian Wood; Ahmed S. Zamzam; Emiliano Dall'Anese (CoRR, 2023)

Equitable Networked Microgrid Topology Reconfiguration for Wildfire Risk Mitigation. - Yuqi Zhou; Ahmed S. Zamzam; Andrey Bernstein (CoRR, 2024)

Unsupervised Learning for Equitable DER Control. - Zhenyi Yuan; Guido Cavraro; Ahmed S. Zamzam; Jorge Cortés 001 (CoRR, 2024)

Machine Learning-Assisted Distribution System Network Reconfiguration Problem. - Richard Asiamah; Yuqi Zhou; Ahmed S. Zamzam (CoRR, 2024)

Polyhedral Relaxations for Optimal Pump Scheduling of Potable Water Distribution Networks. - Byron Tasseff; Russell Bent; Carleton Coffrin; Clayton Barrows; Devon Sigler; Jonathan J. Stickel; Ahmed S. Zamzam; Yang Liu 115; Pascal Van Hentenryck (INFORMS J. Comput., 2024)