Kartik Chandran

Machine-learning informs mitigation strategies for nitrous oxide emissions from wastewater operations

This paper uses machine learning to predict and mitigate nitrous oxide emissions from wastewater treatment systems by analyzing process variables and their impact on emissions.

The multiplier benefits of integrating non-sewered and sewered wastewater treatment and sanitation processes

This study shows integrating non-sewered sanitation systems with sewered wastewater treatment plants reduces operating energy costs and improves treatment efficiency.

Genome-resolved multi-omics insights into top-down microbiome engineering for carbon-upcycling of thermally hydrolysed food waste

This study uses genome-resolved multi-omics to show that thermal hydrolysis pretreatment reshapes microbiome structure and function in food waste conversion, increasing butyrate and valerate while maintaining propionate dominance.

Meta-azotomics of engineered wastewater treatment processes reveals differential contributions of established and novel models of N-cycling

The paper uses metagenomics and metatranscriptomics to analyze nitrogen cycling in wastewater treatment processes, revealing both traditional and novel mechanisms of nitrogen cycling.