Research Topics of EESL
Research Topics of EESL
(Sheetal S. Kothawale et al. 2023. Env Res. )
We develop technologies that utilize the ecological functions of environmental microorganisms to remove various pollutants such as pesticides and microplastics. Our research focuses on nature-based remediation strategies by leveraging microbial communities and biochar to adsorb and degrade contaminants. Specifically, we address pollution from microplastics and agrochemicals through mechanisms such as microbial degradation and biochar-assisted pollutant removal. These eco-friendly approaches aim to enhance the sustainability and effectiveness of environmental cleanup efforts across various media including soil and water systems.
(US EPA)
We apply anaerobic treatment technologies to recycle diverse waste substrates and develop sustainable resource circulation systems. By utilizing anaerobic digestion, we convert organic waste into renewable energy and valuable resources, while minimizing environmental impacts. Our approach includes recovery of bioenergy and nutrients from waste materials, and long-term ecological monitoring to ensure system resilience and sustainability. These technologies support the transition toward circular resource management and low-carbon environmental solutions.
(Sheetal S. Kothawale et al. 2023. Env Res. )
We assess the toxic effects of pollutants on indicator organisms and evaluate environmental safety through integrative bioassays. Using model organisms such as Daphnia magna and earthworms, we examine the biological impact of environmental pollutants including microplastics and biochar. Our work extends to evaluating the influence of these materials on plant growth through controlled experiments, as well as conducting soil column tests to analyze the leaching behavior and mobility of pollutants. This comprehensive assessment framework supports environmental risk evaluation and informs regulatory decisions.
Research Topics of MSE
We investigate how soil and groundwater microbiomes respond to environmental stressors, particularly under climate change, and develop microbiome-based indicators for ecosystem health. Our goal is to inform restoration decisions by decoding microbial community structure, function, and resilience in dynamic environments.
(Patrice D. Cani. 2013. Nat Rev Endocrinol. )
We explore how host-associated microbiomes influence and reflect physiological responses to external stressors such as environmental challenges and pharmaceutical exposure. Our research aims to uncover microbial markers and functional traits that contribute to host resilience, stress priming, and metabolic regulation, particularly in animal models.
(R. B. Han et al. 2023. PNAS)
We integrate artificial intelligence with microbial ecology to monitor and manage microbial systems in environmental contexts. By combining high-throughput phenotypic and genomic data with machine learning models, we aim to aim to build predictive and explainable models for early warning and adaptive system management.