Dr. Aatish Anshuman
Dr. Aatish Anshuman
is a hydrogeologist who works at the University of Alabama as a Post-Doctoral
Scientist. His current research focuses on the dynamics of groundwater recharge
in snow-affected regions. During his PhD at Indian Institute of Technology Bombay,
he contributed to the development of numerical tools for physics and deep
learning-based simulation of contaminant transport in groundwater and applied
them to inverse modelling. His research interests include understanding the
dynamics of groundwater quality and quantity at large-spatial and fine-temporal
scales through a combination of physics-based modelling and machine learning.
Research
The
global decline in groundwater, driven by overexploitation, contamination, and
climate change, poses a substantial threat to sustainability and development.
The prediction of the dynamics of groundwater head and contaminants is
essential for the proper management of resources in reliant countries. Although
conventional numerical models exist for contaminant transport simulation based
on physics, these methods face problems in complex problem domains and handle advection
and/or reaction-dominant problems. Additionally, the ongoing advancement of
deep learning has significantly improved computational efficiency. This seminar
will include state-of-the-art numerical models for contaminant transport
simulation, including various reactions in groundwater. It will also delve into
the applications of deep learning models for efficient inverse modelling and
analysing trends in groundwater recharge in snow-affected regions.
Teaching
The
obscurity of groundwater frequently leads to inadequate management, resulting
in the deterioration of both its quantity and quality. This seminar aims to
develop an understanding of the fundamentals of groundwater aquifers, exploring
their properties and the dynamics of groundwater flow. The governing equations
of groundwater flow and its numerical aspects will be discussed. Additionally,
the seminar will shed light on the development of computer models for
simulating groundwater flow.
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