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ORCIDAhmed S. Zamzam
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2020 – today
- 2024
[j14]Byron Tasseff
, Russell Bent, Carleton Coffrin, Clayton Barrows, Devon Sigler, Jonathan J. Stickel, Ahmed S. Zamzam, Yang Liu, Pascal Van Hentenryck:
Polyhedral Relaxations for Optimal Pump Scheduling of Potable Water Distribution Networks. INFORMS J. Comput. 36(4): 1040-1063 (2024)- [i22]Yuqi Zhou, Ahmed S. Zamzam, Andrey Bernstein:
Equitable Networked Microgrid Topology Reconfiguration for Wildfire Risk Mitigation. CoRR abs/2402.04444 (2024) - [i21]Zhenyi Yuan, Guido Cavraro, Ahmed S. Zamzam, Jorge Cortés:
Unsupervised Learning for Equitable DER Control. CoRR abs/2403.11068 (2024) - 2023
- [c22]Patrick Emami, Xiangyu Zhang, David Biagioni, Ahmed S. Zamzam:
Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning. CDC 2023: 2372-2378 - [c21]Sofia Taylor, Gabriela Setyawan, Bai Cui, Ahmed S. Zamzam, Line A. Roald:
Managing Wildfire Risk and Promoting Equity through Optimal Configuration of Networked Microgrids. e-Energy 2023: 189-199 - [c20]Daniel Tabas, Ahmed S. Zamzam, Baosen Zhang:
Interpreting Primal-Dual Algorithms for Constrained Multiagent Reinforcement Learning. L4DC 2023: 1205-1217 - [i20]Sofia Taylor, Gabriela Setyawan, Bai Cui, Ahmed S. Zamzam, Line A. Roald:
Managing Wildfire Risk and Promoting Equity through Optimal Configuration of Networked Microgrids. CoRR abs/2306.03325 (2023) - [i19]Patrick Emami, Xiangyu Zhang, David Biagioni, Ahmed S. Zamzam:
Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning. CoRR abs/2307.08794 (2023) - [i18]Sai Krishna Kanth Hari, Ahmed S. Zamzam, Byron Tasseff, Russell Bent, Clayton Barrows:
Joint Expansion Planning of Power and Water Distribution Networks. CoRR abs/2312.10224 (2023) - [i17]Killian Wood, Ahmed S. Zamzam, Emiliano Dall'Anese:
Solving Decision-Dependent Games by Learning from Feedback. CoRR abs/2312.17471 (2023) - 2022
- [j13]David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King:
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. IEEE Control. Syst. Lett. 6: 1-6 (2022) - [j12]Bai Cui, Ahmed S. Zamzam, Guido Cavraro, Andrey Bernstein:
Efficient Region of Attraction Characterization for Control and Stabilization of Load Tap Changer Dynamics. IEEE Trans. Control. Netw. Syst. 9(3): 1506-1517 (2022) - [j11]Bo Yang, Ahmed S. Zamzam, Nicholas D. Sidiropoulos:
Large Scale Tensor Factorization via Parallel Sketches. IEEE Trans. Knowl. Data Eng. 34(1): 365-378 (2022) - [j10]Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein:
Multiarea Distribution System State Estimation via Distributed Tensor Completion. IEEE Trans. Smart Grid 13(6): 4887-4898 (2022) - [c19]Joshua Comden, Ahmed S. Zamzam, Andrey Bernstein:
Secure Control Regions for Distributed Stochastic Systems with Application to Distributed Energy Resource Dispatch. ACC 2022: 2208-2213 - [c18]David Biagioni, Xiangyu Zhang, Dylan Wald, Deepthi Vaidhynathan, Rohit Chintala, Jennifer King, Ahmed S. Zamzam:
PowerGridworld: a framework for multi-agent reinforcement learning in power systems. e-Energy 2022: 565-570 - [c17]Joshua Comden, Ahmed S. Zamzam, Andrey Bernstein:
Data-Driven Chance-Constrained Design of Voltage Droop Control for Distribution Networks. HICSS 2022: 1-10 - [c16]Trager Joswig-Jones, Kyri Baker, Ahmed S. Zamzam:
OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets. ISGT 2022: 1-5 - [i16]Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein:
Multi-Area Distribution System State Estimation via Distributed Tensor Completion. CoRR abs/2203.00260 (2022) - [i15]Bai Cui, Ahmed S. Zamzam, Andrey Bernstein:
Enabling Grid-Aware Market Participation of Aggregate Flexible Resources. CoRR abs/2207.12685 (2022) - [i14]Daniel Tabas, Ahmed S. Zamzam, Baosen Zhang:
Interpreting Primal-Dual Algorithms for Constrained MARL. CoRR abs/2211.16069 (2022) - 2021
- [j9]Ahmed S. Zamzam, Yajing Liu, Andrey Bernstein:
Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition. IEEE Control. Syst. Lett. 5(2): 605-610 (2021) - [j8]Bai Cui, Ahmed S. Zamzam, Andrey Bernstein:
Network-Cognizant Time-Coupled Aggregate Flexibility of Distribution Systems Under Uncertainties. IEEE Control. Syst. Lett. 5(5): 1723-1728 (2021) - [j7]Vassilis N. Ioannidis, Ahmed S. Zamzam, Georgios B. Giannakis, Nicholas D. Sidiropoulos:
Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection. IEEE Trans. Knowl. Data Eng. 33(3): 909-920 (2021) - [j6]Fengyu Zhou, Ahmed S. Zamzam, Steven H. Low, Nicholas D. Sidiropoulos:
Exactness of OPF Relaxation on Three-Phase Radial Networks With Delta Connections. IEEE Trans. Smart Grid 12(4): 3232-3241 (2021) - [j5]Mohamed Salah Ibrahim, Ahmed S. Zamzam, Aritra Konar, Nicholas D. Sidiropoulos:
Cell-Edge Detection via Selective Cooperation and Generalized Canonical Correlation. IEEE Trans. Wirel. Commun. 20(11): 7431-7444 (2021) - [c15]Yuqi Zhou, Ahmed S. Zamzam, Andrey Bernstein, Hao Zhu:
Substation-Level Grid Topology Optimization Using Bus Splitting. ACC 2021: 1-7 - [c14]David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King:
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. ACC 2021: 576-581 - [c13]Bai Cui, Ahmed S. Zamzam, Andrey Bernstein:
Network-Cognizant Time-Coupled Aggregate Flexibility of Distribution Systems Under Uncertainties. ACC 2021: 4178-4183 - [i13]Minh-Quan Tran, Ahmed S. Zamzam, Phuong H. Nguyen:
Enhancement of Distribution System State Estimation Using Pruned Physics-Aware Neural Networks. CoRR abs/2102.03893 (2021) - [i12]Rakshit Naidu, Harshita Diddee, Ajinkya Mulay, Aleti Vardhan, Krithika Ramesh, Ahmed S. Zamzam:
Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning. CoRR abs/2107.06946 (2021) - [i11]Trager Joswig-Jones, Kyri Baker, Ahmed S. Zamzam:
OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets. CoRR abs/2111.01228 (2021) - [i10]David Biagioni, Xiangyu Zhang, Dylan Wald, Deepthi Vaidhynathan, Rohit Chintala, Jennifer King, Ahmed S. Zamzam:
PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems. CoRR abs/2111.05969 (2021) - 2020
- [c12]Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein:
Multi-Area Model-Free State Estimation via Distributed Tensor Decomposition. ACSSC 2020: 191-195 - [c11]Faisal M. Almutairi, Aritra Konar, Ahmed S. Zamzam, Nicholas D. Sidiropoulos:
Phased: Phase-Aware Submodularity-Based Energy Disaggregation. NILM@SenSys 2020: 94-98 - [c10]Ahmed S. Zamzam, Kyri Baker:
Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow. SmartGridComm 2020: 1-6 - [i9]Ahmed S. Zamzam, Bo Yang, Nicholas D. Sidiropoulos:
GRATE: Granular Recovery of Aggregated Tensor Data by Example. CoRR abs/2003.12666 (2020) - [i8]Ahmed S. Zamzam, Yajing Liu, Andrey Bernstein:
Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition. CoRR abs/2004.05741 (2020) - [i7]Faisal M. Almutairi, Aritra Konar, Ahmed S. Zamzam, Nicholas D. Sidiropoulos:
PHASED: Phase-Aware Submodularity-Based Energy Disaggregation. CoRR abs/2010.00696 (2020) - [i6]Bai Cui, Ahmed S. Zamzam, Andrey Bernstein:
Network-Cognizant Time-Coupled Aggregate Flexibility of Distribution Systems Under Uncertainties. CoRR abs/2012.06947 (2020)
2010 – 2019
- 2019
- [j4]Ahmed S. Zamzam, Emiliano Dall'Anese, Changhong Zhao, Josh A. Taylor, Nicholas D. Sidiropoulos:
Optimal Water-Power Flow-Problem: Formulation and Distributed Optimal Solution. IEEE Trans. Control. Netw. Syst. 6(1): 37-47 (2019) - [i5]Ahmed S. Zamzam, Nicholas D. Sidiropoulos:
Physics-Aware Neural Networks for Distribution System State Estimation. CoRR abs/1903.09669 (2019) - [i4]Ahmed S. Zamzam, Bo Yang, Nicholas D. Sidiropoulos:
Energy Storage Management via Deep Q-Networks. CoRR abs/1903.11107 (2019) - [i3]Ahmed S. Zamzam, Kyri Baker:
Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow. CoRR abs/1910.01213 (2019) - 2018
- [j3]Ahmed S. Zamzam, Nicholas D. Sidiropoulos, Emiliano Dall'Anese:
Beyond Relaxation and Newton-Raphson: Solving AC OPF for Multi-Phase Systems With Renewables. IEEE Trans. Smart Grid 9(5): 3966-3975 (2018) - [j2]Gang Wang, Ahmed S. Zamzam, Georgios B. Giannakis, Nicholas D. Sidiropoulos:
Power System State Estimation via Feasible Point Pursuit: Algorithms and Cramér-Rao Bound. IEEE Trans. Signal Process. 66(6): 1649-1658 (2018) - [c9]Ahmed S. Zamzam, Emiliano Dall'Anese, Nicholas D. Sidiropoulos:
Optimal Distributed Energy Storage Management Using Relaxed Dantzig-Wolfe Decomposition. CDC 2018: 2396-2401 - [c8]Vassilis N. Ioannidis, Ahmed S. Zamzam, Georgios B. Giannakis, Nikolas D. Sidiropoulos:
Imputation of Coupled Tensors and Graphs. GlobalSIP 2018: 1331-1335 - [c7]Bo Yang, Ahmed S. Zamzam, Nicholas D. Sidiropoulos:
ParaSketch: Parallel Tensor Factorization via Sketching. SDM 2018: 396-404 - [c6]Mohamed Salah Ibrahim, Ahmed S. Zamzam, Xiao Fu, Nicholas D. Sidiropoulos:
Learning-Based Antenna Selection for Multicasting. SPAWC 2018: 1-5 - [i2]Vassilis N. Ioannidis, Ahmed S. Zamzam, Georgios B. Giannakis, Nicholas D. Sidiropoulos:
Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection. CoRR abs/1809.08353 (2018) - 2017
- [c5]Ahmed S. Zamzam, Xiao Fu, Emiliano Dall'Anese, Nicholas D. Sidiropoulos:
Distributed optimal power flow using feasible point pursuit. CAMSAP 2017: 1-5 - [c4]Aritra Konar, Ahmed S. Zamzam, Nicholas D. Sidiropoulos:
Decentralized power system state estimation via non-convex multi-agent optimization. GlobalSIP 2017: 1060-1064 - [i1]Gang Wang, Ahmed S. Zamzam, Georgios B. Giannakis, Nicholas D. Sidiropoulos:
Power System State Estimation via Feasible Point Pursuit: Algorithms and Cramer-Rao Bound. CoRR abs/1705.04031 (2017) - 2016
- [c3]Ahmed S. Zamzam, Vassilis N. Ioannidis, Nicholas D. Sidiropoulos:
Coupled graph tensor factorization. ACSSC 2016: 1755-1759 - [c2]Gang Wang, Ahmed S. Zamzam, Georgios B. Giannakis, Nicholas D. Sidiropoulos:
Power system state estimation via feasible point pursuit. GlobalSIP 2016: 773-777 - 2015
- [j1]Ahmed S. Zamzam, Amr El-Keyi, Mohammed Nafie, Yahya Mohasseb:
On the Degrees of Freedom of the Two-Cell Two-Hop MIMO Network With Dedicated and Shared Relays. IEEE Trans. Wirel. Commun. 14(12): 6738-6751 (2015) - 2014
- [c1]Ahmed S. Zamzam, Amr El-Keyi, Mohammed Nafie, Yahya Mohasseb:
Degrees of freedom for a two-cell relay network with soft handoffs. GLOBECOM 2014: 1685-1691
Coauthor Index
aka: Nikolas D. Sidiropoulos
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