A5021906791- Water Systems and Optimization
- Urban Stormwater Management Solutions
- Groundwater flow and contamination studies
- Water resources management and optimization
- Water-Energy-Food Nexus Studies
- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Advanced Control Systems Optimization
- Gene Regulatory Network Analysis
- Smart Grid Security and Resilience
- Hydraulic flow and structures
- Parallel Computing and Optimization Techniques
- Water Quality Monitoring Technologies
- Underwater Vehicles and Communication Systems
The University of Texas at Austin
2021-2025
Universidad de Los Andes
2015-2019
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...
Control of Urban Drainage Systems (UDS) is studied for cases in which the distribution run-off through channels a system inefficient, i.e. when capacity some structures not used optimally. In this paper, decentralized population-dynamics-based control UDS presented, particularly using replicator and projection dynamics. For design, methodology to make partitioning introduced, design per each partition proposed. Moreover, stability analysis closed-loop made by passivity theory. Finally,...
A hierarchical control strategy is proposed to solve the optimal drainage problem in sewer systems by combining an optimization technique known as minimum scaled consensus (MSCC) with deep deterministic policy gradient (DDPG) algorithm. The MSCC operates at global level, and used determine flows of hydraulic structures system, such that water optimally distributed, i.e., wastewater are controlled minimize saturation levels and/or flooding events, filling each system components (e.g., pipes,...
Abstract Modeling transient flow in networked dynamical systems characterized by hyperbolic partial differential equations (PDEs) is essential to engineering applications. Solutions of PDEs are commonly found using the method characteristics (MOC), particularly when modeling water hammer phenomenon distribution (WDSs), which critical for design and operation. For applications that require fast modeling, existing methods speeding up traditional MOC simulations either trade off accuracy...
A co-simulation framework that uses two software tools (i.e., Matlab, Python or LabVIEW, and SWMM) is presented. The performed thanks to a tool has been developed, which the main contribution of this work. This approach storm water management model (SWMM), becoming solution lack test controllers for urban drainage systems (UDS). Specifically, MatSWMM, an open source can be used end, Additionally, in order illustrate features methodology, some issues using control-oriented models (COM) are...