Ahmed S. Zamzam

61 papers A 1B 1C 5Misc 2Journal 38Unranked 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Designing Future Energy Systems With Generative AI.
Comput. Sci. Eng.
Andrew Glaws, Ryan N. King, Patrick Emami, Grant Buster, Brandon N. Benton, Xiangyu Zhang, Ahmed S. Zamzam, Venkatesh Venkataramanan, Richard Macwan
2024 J jnl
Equitable Networked Microgrid Topology Reconfiguration for Wildfire Risk Mitigation.
CoRR
Yuqi Zhou, Ahmed S. Zamzam, Andrey Bernstein
2024 J jnl
Machine Learning-Assisted Distribution System Network Reconfiguration Problem.
CoRR
Richard Asiamah, Yuqi Zhou, Ahmed S. Zamzam
2024 J jnl
Polyhedral Relaxations for Optimal Pump Scheduling of Potable Water Distribution Networks.
INFORMS J. Comput.
Byron Tasseff, Russell Bent, Carleton Coffrin, Clayton Barrows, Devon Sigler, Jonathan J. Stickel, Ahmed S. Zamzam, Yang Liu, Pascal Van Hentenryck
2024 C conf
SVM-Based Synchronized Fault Detection for 100% Renewable Microgrids.
IECON
Soham Chakraborty, Yue Chen, Ahmed S. Zamzam, Jing Wang
2024 J jnl
Unsupervised Learning for Equitable DER Control.
CoRR
Zhenyi Yuan, Guido Cavraro, Ahmed S. Zamzam, Jorge Cortés
2023 — conf
Interpreting Primal-Dual Algorithms for Constrained Multiagent Reinforcement Learning.
L4DC
Daniel Tabas, Ahmed S. Zamzam, Baosen Zhang
2023 J jnl
Joint Expansion Planning of Power and Water Distribution Networks.
CoRR
Sai Krishna Kanth Hari, Ahmed S. Zamzam, Byron Tasseff, Russell Bent, Clayton Barrows
2023 — conf
Managing Wildfire Risk and Promoting Equity through Optimal Configuration of Networked Microgrids.
e-Energy
Sofia Taylor, Gabriela Setyawan, Bai Cui, Ahmed S. Zamzam, Line A. Roald
2023 J jnl
Managing Wildfire Risk and Promoting Equity through Optimal Configuration of Networked Microgrids.
CoRR
Sofia Taylor, Gabriela Setyawan, Bai Cui, Ahmed S. Zamzam, Line A. Roald
2023 — conf
Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning.
CDC
Patrick Emami, Xiangyu Zhang, David Biagioni, Ahmed S. Zamzam
2023 J jnl
Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning.
CoRR
Patrick Emami, Xiangyu Zhang, David Biagioni, Ahmed S. Zamzam
2023 J jnl
Solving Decision-Dependent Games by Learning from Feedback.
CoRR
Killian Wood, Ahmed S. Zamzam, Emiliano Dall'Anese
2022 — conf
Data-Driven Chance-Constrained Design of Voltage Droop Control for Distribution Networks.
HICSS
Joshua Comden, Ahmed S. Zamzam, Andrey Bernstein
2022 J jnl
Efficient Region of Attraction Characterization for Control and Stabilization of Load Tap Changer Dynamics.
IEEE Trans. Control. Netw. Syst.
Bai Cui, Ahmed S. Zamzam, Guido Cavraro, Andrey Bernstein
2022 J jnl
Enabling Grid-Aware Market Participation of Aggregate Flexible Resources.
CoRR
Bai Cui, Ahmed S. Zamzam, Andrey Bernstein
2022 J jnl
Interpreting Primal-Dual Algorithms for Constrained MARL.
CoRR
Daniel Tabas, Ahmed S. Zamzam, Baosen Zhang
2022 J jnl
Large Scale Tensor Factorization via Parallel Sketches.
IEEE Trans. Knowl. Data Eng.
Bo Yang, Ahmed S. Zamzam, Nicholas D. Sidiropoulos
2022 J jnl
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow.
IEEE Control. Syst. Lett.
David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King
2022 J jnl
Multi-Area Distribution System State Estimation via Distributed Tensor Completion.
CoRR
Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein
2022 J jnl
Multiarea Distribution System State Estimation via Distributed Tensor Completion.
IEEE Trans. Smart Grid
Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein
2022 — conf
OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets.
ISGT
Trager Joswig-Jones, Kyri Baker, Ahmed S. Zamzam
2022 — conf
PowerGridworld: a framework for multi-agent reinforcement learning in power systems.
e-Energy
David Biagioni, Xiangyu Zhang, Dylan Wald, Deepthi Vaidhynathan, Rohit Chintala, Jennifer King, Ahmed S. Zamzam
2022 C conf
Secure Control Regions for Distributed Stochastic Systems with Application to Distributed Energy Resource Dispatch.
ACC
Joshua Comden, Ahmed S. Zamzam, Andrey Bernstein
2021 J jnl
Cell-Edge Detection via Selective Cooperation and Generalized Canonical Correlation.
IEEE Trans. Wirel. Commun.
Mohamed Salah Ibrahim, Ahmed S. Zamzam, Aritra Konar, Nicholas D. Sidiropoulos
2021 J jnl
Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection.
IEEE Trans. Knowl. Data Eng.
Vassilis N. Ioannidis, Ahmed S. Zamzam, Georgios B. Giannakis, Nicholas D. Sidiropoulos
2021 J jnl
Enhancement of Distribution System State Estimation Using Pruned Physics-Aware Neural Networks.
CoRR
Minh-Quan Tran, Ahmed S. Zamzam, Phuong H. Nguyen
2021 J jnl
Exactness of OPF Relaxation on Three-Phase Radial Networks With Delta Connections.
IEEE Trans. Smart Grid
Fengyu Zhou, Ahmed S. Zamzam, Steven H. Low, Nicholas D. Sidiropoulos
2021 C conf
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow.
ACC
David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King
2021 J jnl
Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition.
IEEE Control. Syst. Lett.
Ahmed S. Zamzam, Yajing Liu, Andrey Bernstein
2021 C conf
Network-Cognizant Time-Coupled Aggregate Flexibility of Distribution Systems Under Uncertainties.
ACC
Bai Cui, Ahmed S. Zamzam, Andrey Bernstein
2021 J jnl
Network-Cognizant Time-Coupled Aggregate Flexibility of Distribution Systems Under Uncertainties.
IEEE Control. Syst. Lett.
Bai Cui, Ahmed S. Zamzam, Andrey Bernstein
2021 J jnl
OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets.
CoRR
Trager Joswig-Jones, Kyri Baker, Ahmed S. Zamzam
2021 J jnl
PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems.
CoRR
David Biagioni, Xiangyu Zhang, Dylan Wald, Deepthi Vaidhynathan, Rohit Chintala, Jennifer King, Ahmed S. Zamzam
2021 C conf
Substation-Level Grid Topology Optimization Using Bus Splitting.
ACC
Yuqi Zhou, Ahmed S. Zamzam, Andrey Bernstein, Hao Zhu
2021 J jnl
Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning.
CoRR
Rakshit Naidu, Harshita Diddee, Ajinkya Mulay, Aleti Vardhan, Krithika Ramesh, Ahmed S. Zamzam
2020 J jnl
GRATE: Granular Recovery of Aggregated Tensor Data by Example.
CoRR
Ahmed S. Zamzam, Bo Yang, Nicholas D. Sidiropoulos
2020 — conf
Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow.
SmartGridComm
Ahmed S. Zamzam, Kyri Baker
2020 J jnl
Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition.
CoRR
Ahmed S. Zamzam, Yajing Liu, Andrey Bernstein
2020 Misc conf
Multi-Area Model-Free State Estimation via Distributed Tensor Decomposition.
ACSSC
Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein
2020 J jnl
Network-Cognizant Time-Coupled Aggregate Flexibility of Distribution Systems Under Uncertainties.
CoRR
Bai Cui, Ahmed S. Zamzam, Andrey Bernstein
2020 J jnl
PHASED: Phase-Aware Submodularity-Based Energy Disaggregation.
CoRR
Faisal M. Almutairi, Aritra Konar, Ahmed S. Zamzam, Nicholas D. Sidiropoulos
2020 — conf
Phased: Phase-Aware Submodularity-Based Energy Disaggregation.
NILM@SenSys
Faisal M. Almutairi, Aritra Konar, Ahmed S. Zamzam, Nicholas D. Sidiropoulos
2019 J jnl
Energy Storage Management via Deep Q-Networks.
CoRR
Ahmed S. Zamzam, Bo Yang, Nicholas D. Sidiropoulos
2019 J jnl
Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow.
CoRR
Ahmed S. Zamzam, Kyri Baker
2019 J jnl
Optimal Water-Power Flow-Problem: Formulation and Distributed Optimal Solution.
IEEE Trans. Control. Netw. Syst.
Ahmed S. Zamzam, Emiliano Dall'Anese, Changhong Zhao, Josh A. Taylor, Nicholas D. Sidiropoulos
2019 J jnl
Physics-Aware Neural Networks for Distribution System State Estimation.
CoRR
Ahmed S. Zamzam, Nicholas D. Sidiropoulos
2018 J jnl
Beyond Relaxation and Newton-Raphson: Solving AC OPF for Multi-Phase Systems With Renewables.
IEEE Trans. Smart Grid
Ahmed S. Zamzam, Nicholas D. Sidiropoulos, Emiliano Dall'Anese
2018 J jnl
Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection.
CoRR
Vassilis N. Ioannidis, Ahmed S. Zamzam, Georgios B. Giannakis, Nicholas D. Sidiropoulos
2018 — conf
Imputation of Coupled Tensors and Graphs.
GlobalSIP
Vassilis N. Ioannidis, Ahmed S. Zamzam, Georgios B. Giannakis, Nikolas D. Sidiropoulos
2018 — conf
Learning-Based Antenna Selection for Multicasting.
SPAWC
Mohamed Salah Ibrahim, Ahmed S. Zamzam, Xiao Fu, Nicholas D. Sidiropoulos
2018 — conf
Optimal Distributed Energy Storage Management Using Relaxed Dantzig-Wolfe Decomposition.
CDC
Ahmed S. Zamzam, Emiliano Dall'Anese, Nicholas D. Sidiropoulos
2018 A conf
ParaSketch: Parallel Tensor Factorization via Sketching.
SDM
Bo Yang, Ahmed S. Zamzam, Nicholas D. Sidiropoulos
2018 J jnl
Power System State Estimation via Feasible Point Pursuit: Algorithms and Cramér-Rao Bound.
IEEE Trans. Signal Process.
Gang Wang, Ahmed S. Zamzam, Georgios B. Giannakis, Nicholas D. Sidiropoulos
2017 — conf
Decentralized power system state estimation via non-convex multi-agent optimization.
GlobalSIP
Aritra Konar, Ahmed S. Zamzam, Nicholas D. Sidiropoulos
2017 — conf
Distributed optimal power flow using feasible point pursuit.
CAMSAP
Ahmed S. Zamzam, Xiao Fu, Emiliano Dall'Anese, Nicholas D. Sidiropoulos
2017 J jnl
Power System State Estimation via Feasible Point Pursuit: Algorithms and Cramer-Rao Bound.
CoRR
Gang Wang, Ahmed S. Zamzam, Georgios B. Giannakis, Nicholas D. Sidiropoulos
2016 Misc conf
Coupled graph tensor factorization.
ACSSC
Ahmed S. Zamzam, Vassilis N. Ioannidis, Nicholas D. Sidiropoulos
2016 — conf
Power system state estimation via feasible point pursuit.
GlobalSIP
Gang Wang, Ahmed S. Zamzam, Georgios B. Giannakis, Nicholas D. Sidiropoulos
2015 J jnl
On the Degrees of Freedom of the Two-Cell Two-Hop MIMO Network With Dedicated and Shared Relays.
IEEE Trans. Wirel. Commun.
Ahmed S. Zamzam, Amr El-Keyi, Mohammed Nafie, Yahya Mohasseb
2014 B conf
Degrees of freedom for a two-cell relay network with soft handoffs.
GLOBECOM
Ahmed S. Zamzam, Amr El-Keyi, Mohammed Nafie, Yahya Mohasseb