Most waters can be treated to desired targets—the question is, at what cost? We are working to design and optimize both green (natural), and grey (engineered) treatment technologies that are resilient and adaptable through rigorous quantitative analysis, multi-scale investigation, and advanced data processing.

Some of our projects include:

  • Solids contact unit design and optimization for resilience and climate change adaptation

  • Pathogen fate and transport in natural and engineered porous media

  • Machine learning for improved detection and enumeration of waterborne pathogens

  • Advancing design and optimization of engineered and natural biofiltration processes

  • Nutrient sequestration in drinking water reservoirs to mitigate algal bloom risk

  • Colloid-associated nutrient removal during municipal wastewater treatment

  • Emerging best management practices for urban stormwater management

  • Colloid and nanoparticle filtration modeling and development

  • Media selection and surface roughness implications for physico-chemical filtration

  • Determination of treatment thresholds for oxidation of cyanobacterial toxins

  • Achieving cost savings and water conservation by optimization of filter backwashing

  • Removal of emerging contaminants (e.g., microplastics) during drinking water treatment