Amalia Kokkinaki

Associate Professor

University of California, San Francisco

United States

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Amalia Kokkinaki is an Associate Professor at the University of San Francisco, USA. Her research primarily focuses on the modeling and characterization of dense non-aqueous phase liquids (DNAPLs) in groundwater systems, utilizing advanced techniques such as deep learning and hydrogeophysical data integration. Recent articles authored by Dr. Kokkinaki highlight developments in predictive modeling and uncertainty assessment related to complex DNAPL source zones.

Articles (7)

Year:

2025

Year:

2024

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Collaborators (2)

Liangchao Zou

KTH Royal Institute of Technology

SWEDEN

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Jonghyun Lee

Associate Professor

University of Hawaii at Manoa

UNITED STATES

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Amalia Kokkinaki

Research Interests

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Articles (7)

Residual NAPL Architectures in Fractures: Insights From Microfluidic Experiments

Modeling Upscaled Mass Discharge From Complex DNAPL Source Zones Using a Bayesian Neural Network: Prediction Accuracy, Uncertainty Quantification and Source Zone Feature Importance

Integration of Deep Learning‐Based Inversion and Upscaled Mass‐Transfer Model for DNAPL Mass‐Discharge Estimation and Uncertainty Assessment

Integrating deep learning-based data assimilation and hydrogeophysical data for improved monitoring of DNAPL source zones during remediation

Hydrogeophysical Characterization of Nonstationary DNAPL Source Zones by Integrating a Convolutional Variational Autoencoder and Ensemble Smoother

Recent developments in fast and scalable inverse modeling and data assimilation methods in hydrology

Improved Characterization of DNAPL Source Zones via Sequential Hydrogeophysical Inversion of Hydraulic‐Head, Self‐Potential and Partitioning Tracer Data

Collaborators (2)

Liangchao Zou

Jonghyun Lee

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