Here, we showcase the DeVaan Fellows, individuals at the forefront of developing innovative water technologies. Their work exemplifies the initiative's commitment to ensuring clean, sustainable water for future generations.

Meet the Fellows

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Portrait of Amanda Eness.
Amanda Eness, Environmental Engineering. Originally from Grayslake, Illinois.

I work in Tala Navab-Daneshmand’s lab studying antibiotic resistance genes (ARGs) in wastewater. I have been working on a project along with Dr. Xue Jin using coagulation-flocculation on anaerobic effluent to reduce ARGs in the liquid stream. We are comparing organic (polyacrylamide polymers and naturally derived chitosan) coagulants and inorganic (aluminum sulfate) coagulants for ARG reduction. The goal of this is to find easy adaptations for wastewater treatment plants to use in reducing ARGs in their final effluent.

Reducing Antibiotic Resistance in Wastewater

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Portrait of Christina Marie Aragon.
Christina Marie Aragon, Water Resources Engineering. Originally from Denver, CO, Currently in Bend, OR.

My research combines modeling, remote sensing and observations to improve our understanding of mountain snowpacks and downstream water resources in the context of climate change. My three major research projects include; 1) quantifying how our snowpacks function as natural reservoirs and evaluating how this function has changed in recent decades, 2) assimilation of citizen science snow depth measurements into a physically-based snow model to improve snow distribution estimates in remote mountainous regions, and 3) modeling historic and future coastal runoff in the arctic basins of Alaska.

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Portrait of David Lisboa.
David Lisboa, Environmental Engineering. Originally from New Jersey

Centered on optimizing system performance and stability, this research explores the dynamics of ecological memory, resilience, and plasticity during controlled stress events of lab-scale anaerobic digesters. The hypothesis proposes that encouraging microbial memory enhances resilience, enabling more effective adaptation to disturbances, thus creating a more robust system. The experimental framework involves comprehensive analyses of physical/chemical and microbial responses, quantifying resilience and memory, and examining disturbance quantity and frequency. By refining anaerobic digesters, this study yields nuanced insights applicable to various biological treatment systems, contributing to the overarching goal of advancing sustainability practices in water treatment.

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Portrait of Justine Chukwuyem Obiazi.
Justine Chukwuyem Obiazi, Civil Engineering Ph.D. Originally from Lagos, Nigeria.

Human Response to Different Methods of Uncertainty Visualization used for Development of Climate-resilient Watershed Conservation Plans.

This research investigates how graphical methods of visualizing uncertainty influence decision-making. It focuses on the comprehension of visuals in the context of conservation practices, specifically the installation of riparian buffers to mitigate stream temperature fluctuations. The study uses the Graphical Annotation category of uncertainty visualization techniques and examines the behavioral response of humans to these visuals over a 50-year conservation plan. The case study is the Umatilla River Basin. The goal is to identify effective visualization aids that improve decision-making for sustainable management of stream temperatures in a changing climate.

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Portrait of Julia Lauterbach.
Julia Lauterbach, ENVE. Originally from Columbia, SC.
 

My research topic focuses on the growth of biofilms in porous media. Specifically, the project investigates the effect of capillary forces on the formation and evolution of biofilms. These biofilms will be characterized by utilizing 3D X-ray microtomography to understand biofilm growth and architecture. This is particularly interesting for clean water technology as biofilms are prevalent in natural and engineered structures, including biofouling systems such as water filtration and the bioremediation of contaminated soil and groundwater.

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Portrait of Laurinda Korang Nyarko.
Laurinda Korang Nyarko. Originally from Accra, Ghana.

Topic: Investigation of Copper-Organic Interactions in Wastewater and Stormwater via Liquid Chromatography and Mass Spectrometry

Almost all the copper in aqueous environments is bound by organic molecules. These copper-organic interactions impact the solubility, reactivity, and toxicity of copper. However, the chemical identity and origin of these organic molecules remain unknown. New analytical tools to characterize different forms of organic copper are needed to improve predictions of copper toxicity in the environment and to inform remediation strategies.

Studying Impacts of Heavy Metals in Water: A New Method

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Portrait of Marie Olland.
Marie Olland, Environmental Engineering. Originally from Boston, MA.

I work on bioremediation of biosolids-amended soils, aiming to harness its benefits while mitigating associated risks. Biosolids are a nutrient-rich resource that can enhance crop yields, and carbon sequestration but potentially contain a variety of contaminants. By employing bioremediation, we can naturally and effectively remove or transform these contaminants, making biosolids a more sustainable resource. This approach minimizes environmental and human health impacts while promoting a more eco-friendly and resource-efficient solution.

Forensic Chemistry: Detecting Chemicals in Biosolids

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Portrait of Quang Tran.
Quang Tran, Environmental Engineering. Originally from Vietnam.

I work with water and wastewater treatment processes involving membrane technologies. My research includes improvements to ultrafiltration in drinking water treatment with the use of natural organic coagulant during harmful algal blooms and development of a novel hybrid electrodialysis-forward osmosis for concurrent nutrient and water recovery from anaerobic digestate effluent.

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Portrait of Siyeon Kim.
Siyeon Kim, Civil Engineering. Originally from South Korea.

A Study on Water Management and Efficient Distribution in the Basin Computer Modeling, Coding, Data Analysis