activity
20172023
most citedNetwork Inspection for Detecting Strategic Attacks

19 citations · 63 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2023★ 6 cited

Comprehensive Framework for Controlling Nonlinear Multi-Species Water Quality Dynamics

Salma M. Elsherif, Ahmad F. Taha, Ahmed A. Abokifa +1

Tracing disinfectant (e.g., chlorine) and contaminants evolution in water networks requires the solution of 1- D advection-reaction (AR) partial differential equations (PDEs). With…

eess.SY2022★ 11 cited

Control-Theoretic Modeling of Multi-Species Water Quality Dynamics in Drinking Water Networks: Survey, Methods, and Test Cases

Salma M. Elsherif, Shen Wang, Ahmad F. Taha +3

Chlorine is a widely used disinfectant and proxy for water quality (WQ) monitoring in water distribution networks (WDN). Chlorine-based WQ regulation and control aims to maintain p…

eess.SY2021★ 13 cited

Model Order Reduction for Water Quality Dynamics

Shen Wang, Ahmad F. Taha, Ankush Chakrabarty +2

A state-space representation of water quality dynamics describing disinfectant (e.g., chlorine) transport dynamics in drinking water distribution networks has been recently propose…

math.OC2020★ 1 cited

Probabilistic State Estimation in Water Networks

Shen Wang, Ahmad F. Taha, Nikolaos Gatsis +2

State estimation in water distribution networks (WDN), the problem of estimating all unknown network heads and flows given select measurements, is challenging due to the nonconvexi…

math.OC2020★ 13 cited

A New Derivative-Free Linear Approximation for Solving the Network Water Flow Problem with Convergence Guarantees

Shen Wang, Ahmad F. Taha, Lina Sela +2

Addressing challenges in urban water infrastructure systems including aging infrastructure, supply uncertainty, extreme events, and security threats, depend highly on water distrib…

eess.SY2019

State Estimation in Water Distribution Networks through a New Successive Linear Approximation

Shen Wang, Ahmad F. Taha, Lina Sela +2

State estimation (SE) of water distribution networks (WDNs) is difficult to solve due to nonlinearity/nonconvexity of water flow models, uncertainties from parameters and demands,…