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; Pascal Van Hentenryck (INFORMS J. Comput., 2024)

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 (CoRR, 2024)

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

Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning - Patrick Emami; Xiangyu Zhang; David Biagioni; Ahmed S. Zamzam (62nd IEEE Conference on Decision and Control, CDC 2023, Singapore, December 13-15, 2023, 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 (Proceedings of the 14th ACM International Conference on Future Energy Systems, e-Energy 2023, Orlando, FL, USA, June 20-23, 2023, 2023)

Interpreting Primal-Dual Algorithms for Constrained Multiagent Reinforcement Learning - Daniel Tabas; Ahmed S. Zamzam; Baosen Zhang (Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA, 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 (CoRR, 2023)

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

Learning-Accelerated ADMM for Distributed DC Optimal Power Flow - David Biagioni; Peter A. Graf; Xiangyu Zhang; 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)

Secure Control Regions for Distributed Stochastic Systems with Application to Distributed Energy Resource Dispatch - Joshua Comden; Ahmed S. Zamzam; Andrey Bernstein (American Control Conference, ACC 2022, Atlanta, GA, USA, June 8-10, 2022, 2022)

PowerGridworld: a framework for multi-agent reinforcement learning in power systems - David Biagioni; Xiangyu Zhang; Dylan Wald; Deepthi Vaidhynathan; Rohit Chintala; Jennifer King; Ahmed S. Zamzam (e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022 - 1 July 2022, 2022)

Data-Driven Chance-Constrained Design of Voltage Droop Control for Distribution Networks - Joshua Comden; Ahmed S. Zamzam; Andrey Bernstein (55th Hawaii International Conference on System Sciences, HICSS 2022, Virtual Event / Maui, Hawaii, USA, January 4-7, 2022, 2022)

OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets - Trager Joswig-Jones; Kyri Baker; Ahmed S. Zamzam (2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022, New Orleans, LA, USA, April 24-28, 2022, 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)

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

Network-Cognizant Time-Coupled Aggregate Flexibility of Distribution Systems Under Uncertainties - Bai Cui; Ahmed S. Zamzam; 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)

Substation-Level Grid Topology Optimization Using Bus Splitting - Yuqi Zhou; Ahmed S. Zamzam; Andrey Bernstein; Hao Zhu (2021 American Control Conference, ACC 2021, New Orleans, LA, USA, May 25-28, 2021, 2021)

Learning-Accelerated ADMM for Distributed DC Optimal Power Flow - David Biagioni; Peter A. Graf; Xiangyu Zhang; Ahmed S. Zamzam; Kyri Baker; Jennifer King (2021 American Control Conference, ACC 2021, New Orleans, LA, USA, May 25-28, 2021, 2021)

Network-Cognizant Time-Coupled Aggregate Flexibility of Distribution Systems Under Uncertainties - Bai Cui; Ahmed S. Zamzam; Andrey Bernstein (2021 American Control Conference, ACC 2021, New Orleans, LA, USA, May 25-28, 2021, 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)

OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets - Trager Joswig-Jones; Kyri Baker; Ahmed S. Zamzam (CoRR, 2021)

PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems - David Biagioni; Xiangyu Zhang; Dylan Wald; Deepthi Vaidhynathan; Rohit Chintala; Jennifer King; Ahmed S. Zamzam (CoRR, 2021)

Multi-Area Model-Free State Estimation via Distributed Tensor Decomposition - Yajing Liu; Ahmed S. Zamzam; Andrey Bernstein (54th Asilomar Conference on Signals, Systems, and Computers, ACSCC 2020, Pacific Grove, CA, USA, November 1-4, 2020, 2020)

Phased: Phase-Aware Submodularity-Based Energy Disaggregation - Faisal M. Almutairi; Aritra Konar; Ahmed S. Zamzam; Nicholas D. Sidiropoulos (NILM '20, Proceedings of the 5th International Workshop on Non-Intrusive Load Monitoring, November18, 2020, Virtual Event, Japan, 2020)

Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow - Ahmed S. Zamzam; Kyri Baker (2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020, Tempe, AZ, USA, November 11-13, 2020, 2020)

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

Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition - Ahmed S. Zamzam; Yajing Liu; Andrey Bernstein (CoRR, 2020)

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

Network-Cognizant Time-Coupled Aggregate Flexibility of Distribution Systems Under Uncertainties - Bai Cui; Ahmed S. Zamzam; Andrey Bernstein (CoRR, 2020)

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)

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)

Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow - Ahmed S. Zamzam; Kyri Baker (CoRR, 2019)

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; Ahmed S. Zamzam; Georgios B. Giannakis; Nicholas D. Sidiropoulos (IEEE Trans. Signal Process., 2018)

Optimal Distributed Energy Storage Management Using Relaxed Dantzig-Wolfe Decomposition - Ahmed S. Zamzam; Emiliano Dall'Anese; Nicholas D. Sidiropoulos (57th IEEE Conference on Decision and Control, CDC 2018, Miami, FL, USA, December 17-19, 2018, 2018)

Imputation of Coupled Tensors and Graphs - Vassilis N. Ioannidis; Ahmed S. Zamzam; Georgios B. Giannakis; Nikolas D. Sidiropoulos (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018, Anaheim, CA, USA, November 26-29, 2018, 2018)

ParaSketch: Parallel Tensor Factorization via Sketching - Bo Yang; Ahmed S. Zamzam; Nicholas D. Sidiropoulos (Proceedings of the 2018 SIAM International Conference on Data Mining, SDM 2018, May 3-5, 2018, San Diego Marriott Mission Valley, San Diego, CA, USA, 2018)

Learning-Based Antenna Selection for Multicasting - Mohamed Salah Ibrahim; Ahmed S. Zamzam; Xiao Fu; Nicholas D. Sidiropoulos (19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018, Kalamata, Greece, June 25-28, 2018, 2018)

Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection - Vassilis N. Ioannidis; Ahmed S. Zamzam; Georgios B. Giannakis; Nicholas D. Sidiropoulos (CoRR, 2018)

Distributed optimal power flow using feasible point pursuit - Ahmed S. Zamzam; Xiao Fu; Emiliano Dall'Anese; Nicholas D. Sidiropoulos (2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017, Curaçao, The Netherlands, December 10-13, 2017, 2017)

Decentralized power system state estimation via non-convex multi-agent optimization - Aritra Konar; Ahmed S. Zamzam; Nicholas D. Sidiropoulos (2017 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017, Montreal, QC, Canada, November 14-16, 2017, 2017)

Power System State Estimation via Feasible Point Pursuit: Algorithms and Cramer-Rao Bound - Gang Wang; Ahmed S. Zamzam; Georgios B. Giannakis; Nicholas D. Sidiropoulos (CoRR, 2017)

Coupled graph tensor factorization - Ahmed S. Zamzam; Vassilis N. Ioannidis; Nicholas D. Sidiropoulos (50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016, Pacific Grove, CA, USA, November 6-9, 2016, 2016)

Power system state estimation via feasible point pursuit - Gang Wang; Ahmed S. Zamzam; Georgios B. Giannakis; Nicholas D. Sidiropoulos (2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016, Washington, DC, USA, December 7-9, 2016, 2016)

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)

Degrees of freedom for a two-cell relay network with soft handoffs - Ahmed S. Zamzam; Amr El-Keyi; Mohammed Nafie; Yahya Mohasseb (IEEE Global Communications Conference, GLOBECOM 2014, Austin, TX, USA, December 8-12, 2014, 2014)