My expertise includes environmental hydraulics and water-resources engineering, water and wastewater system modeling, field and laboratory monitoring, optical and camera-based measurement techniques, computational fluid dynamics, and data-driven modeling. My research integrates experimental observations, field measurements, numerical modeling, and artificial intelligence/machine learning to characterize complex water-system processes and develop predictive tools. My current work includes camera-based AI monitoring of water and wastewater processes, multimodal integration of imagery with sensor and operational data, and development and cross-site validation of predictive models. I also have extensive experience conducting applied research in collaboration with water utilities and public agencies, providing a strong foundation for translating monitoring and AI technologies into practical water-management applications.
Topic 1. Integrated Monitoring and Assessment for Sustainable Water Management
I have developed a project concept on multimodal camera- and sensor-based AI monitoring of water and wastewater systems that appears closely aligned with Topic 1 of the newly released Water4All 2026 call. I am exploring formation of a European-led consortium in which UTA would participate as the international partner and provide U.S. utility field sites, AI/model-development expertise, and cross-country validation.