
About
Dr. Yuankai Huang is an Assistant Professor in the Department of Civil, Construction, and Environmental Engineering at the University of Memphis. His research integrates sensor technology, machine learning, and environmental engineering to develop advanced solutions for water quality monitoring and sustainable wastewater treatment. His work emphasizes energy-autonomous systems and real-time data analytics.
Research areas include:
- Design of robust water quality sensors with antifouling capabilities
- Machine learning-driven soft sensors for wastewater process optimization
- MXene-based electrochemical platforms for ion detection
- Microbial fuel cells for self-powered environmental monitoring
Recent publications demonstrate innovations in long-term sensor deployment, nanomaterials for selectivity enhancement, and decentralized water-energy systems. A consistent theme is bridging fundamental electrochemistry with field-applicable environmental technologies.
Collaborations span Georgia Tech, UConn, and industry partners in water technology. Teaching responsibilities include courses on environmental systems and sensor applications.
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