A5032994264- Water Systems and Optimization
- Water Treatment and Disinfection
- Urban Stormwater Management Solutions
- Water Quality Monitoring Technologies
- Groundwater flow and contamination studies
- Water resources management and optimization
- Gas Sensing Nanomaterials and Sensors
- Infrastructure Maintenance and Monitoring
- Per- and polyfluoroalkyl substances research
- Model Reduction and Neural Networks
- Probabilistic and Robust Engineering Design
- Network Security and Intrusion Detection
- Numerical methods for differential equations
- Geotechnical Engineering and Underground Structures
- Underwater Vehicles and Communication Systems
- Analytical Chemistry and Sensors
- Environmental Justice and Health Disparities
- Wastewater Treatment and Reuse
- Advanced Chemical Sensor Technologies
- Environmental remediation with nanomaterials
- Hydrological Forecasting Using AI
- ZnO doping and properties
- Membrane Separation and Gas Transport
- Wastewater Treatment and Nitrogen Removal
- Anomaly Detection Techniques and Applications
University of Illinois Chicago
2020-2025
Cairo University
2023-2024
Vanderbilt University
2023-2024
Marymount University
2023
The University of Texas at Austin
2019-2023
University of Illinois Urbana-Champaign
2023
ORCID
2019-2021
Washington University in St. Louis
2015-2019
Quality Research
2017
The BATtle of the Attack Detection ALgorithms (BATADAL) is most recent competition on planning and management water networks undertaken within Water Distribution Systems Analysis Symposium. goal battle was to compare performance algorithms for detection cyber-physical attacks, whose frequency has increased in last few years along with adoption smart technologies. design challenge set C-Town network, a real-world, medium-sized distribution system operated through programmable logic...
A useful feedback loop: insights from theoretical calculations are used for rational design of nanosensors and elucidating surface interactions.
Smart water infrastructures are prone to cyber-physical attacks that can disrupt their operations or damage assets. An algorithm was developed identify suspicious behaviors in the different components of a smart distribution system. The incorporated multiple modules anomaly-detection techniques recognize types anomalies real-time monitoring and control data. Trained artificial neural networks were used detect unusual patterns do not conform normal operational behavior. Principal component...
Forum papers are thought-provoking opinion pieces or essays founded in fact, sometimes containing speculation, on a civil engineering topic of general interest and relevance to the readership journal. The views expressed this article do not necessarily reflect ASCE Editorial Board
We demonstrated room-temperature gas sensing of volatile organic compounds (VOCs) using SnO2 nanostructured thin films grown via the aerosol chemical vapor deposition process at temperatures ranging from 450 to 600 °C. investigated film's response presence three classes VOCs: apolar, monopolar, and biopolar. The synthesis was optimized, with most robust observed for 550 °C as compared other temperatures. role film morphology, exposed surface planes, oxygen defects were explored experimental...
Partial replacement of lead service lines (LSLs) often results in the excessive long-term release particulates due to disturbance pipe scale and galvanic corrosion. In this study, a modeling approach simulate transport particulate dissolved from full partially replaced LSLs is developed. A mass-transfer model coupled with stochastic residential water demand generator investigate effect normal household usage flow patterns on exposure. The calibrated by comparing simulation against...
Pipe failures in water distribution infrastructure (WDI) have significant economic, environmental and public health impacts. To alleviate these impacts, repair replacement decisions need to be prioritized effectively reduce failure rates. In this study, a computational framework is proposed for WDI asset management that couples spatial clustering analysis with predictive modeling of pipe failures. First, hotspot/coldspot clusters statistically high/low rates are identified using local...
Ensuring water security and enabling timely responses to contamination events in distribution systems (WDSs) rely heavily on the accurate localization of sources. Despite advances quality monitoring technologies, such as continuous sensing grab-sampling, coverage remains sparse most WDSs, making it difficult accurately pinpoint source contamination. This paper introduces a novel methodology designed overcome these challenges by integrating with targeted manual grab-sampling. The proposed...
Contamination of treated drinking water is a critical public health and safety concern. In this study, multi-objective Bayesian optimization (MOBO) framework proposed to optimize operational response contamination in distribution systems (WDSs). The aims balance the conflicting objectives minimizing time while maximizing quality metrics after events. This was achieved by simultaneously optimizing two objective functions: number field operations (i.e., valve-closings hydrant-openings), total...
Automated monitoring and operation of modern water distribution systems (WDSs) are largely dependent on an interconnected network computers, sensors, actuators that jointly coordinated by a supervisory control data acquisition (SCADA) system. Although the implementation such embedded enhances reliability WDS, it also exposes to cyber-physical attacks can disrupt system's or compromise critical information. Hence, development attack detection algorithms efficiently diagnose identify assaults...
In this study, dispersion-corrected density functional theory (DFT) calculations were employed to investigate the adsorption of per- and poly-fluoroalkyl substances (PFAS) onto zerovalent iron (Fe
The impact of implementing an advanced water quality model for simulating the dead-end sections drinking distribution networks on outcomes booster chlorination optimization is investigated. An advection-dispersion-reaction transport that accounts realistic spatial demands along pipes linked to a genetic algorithm find optimal layout and operation stations. objective function formulated solved locations chlorine dosing schedules stations minimize total costs design system, while maintaining...
A single-step, template-free aerosol chemical vapor deposition (ACVD) method is demonstrated to grow well-aligned SnO2 nanocolumn arrays. The ACVD system parameters, which control thin film morphologies, were systematically explored gain a qualitative understanding of growth mechanisms. Key variables include feed rates, substrate temperature, and time. System dynamics relating synthesis characteristics processes (collision sintering) are elucidated. By adjusting the aspect ratio, height,...
With the increasing adoption of demand management strategies and water conservation practices, domestic consumption is projected to decline in future. The subsequent consumer-side reductions are expected result increased residence times distribution networks (WDNs), thus could have negative effects on quality (WQ) reaching consumers’ taps. This study evaluates impacts decrease residential demands deterioration WQ WDNs. will likely be most prominent dead-end branches at perimeters WDNs, where...
Real-time water quality (WQ) sensors in distribution networks (WDN) have the potential to enable network-wide observability of indicators, contamination event detection, and closed-loop feedback control WQ dynamics. To that end, prior research has investigated a wide range methods guide geographic placement sensors. These assign metric for fixed sensor (SP) followed by metric-optimization obtain optimal SP. metrics include minimizing intrusion detection time, thereby expected population...
This work fundamentally explores graphene oxide morphology and functionality with regard to room temperature gas sensing performance.
<title>Abstract</title> The substantial cost associated with deploying and operating sensor networks challenges the pursuit of comprehensive water quality (WQ) management in drinking distribution (WDNs). In this study, we introduce a framework for dynamic WQ state estimation using Graph Neural Networks (GNNs) to reconstruct unmeasured chlorine concentrations (CCs) based on measurements from limited number distributed sensors. Two GNN frameworks were developed. first framework, model was...