1. The Design of Robust, Reliable Water Quality Sensors
Long-term continuous monitoring (LTCM) of water quality can bring far-reaching influences on water ecosystems by providing spatiotemporal data sets of diverse parameters and enabling the operation of water and wastewater treatment processes in an energy-saving and cost-effective manner. In our lab, we design robust and reliable water sensors for real-time LTCM of water quality. By developing advanced sensing technologies, we aim to detect contaminants and pollutants instantaneously, enabling swift action to address water quality issues and safeguard communities.
2. Advancing Decentralized Water Systems
3. Digital Water-Energy-Food Infrastructure
In an increasingly interconnected world, the nexus of water, energy, and food systems presents both challenges and opportunities. Our research leverages data-driven approaches such as machine learning to revolutionize digital infrastructure across these critical sectors. By employing advanced computational techniques, we design innovative sensors for more effective monitoring. The data collected from these smart sensors enable us to optimize water treatment processes, enhance agriculture assessments, and drive material innovations. Through intelligent analysis and integration of sensor data, we aim to improve sustainability and efficiency within water, energy, and food systems, ultimately contributing to a more resilient and secure future.