PNNL

Lal Mamud is a postdoctoral subsurface modeler at Pacific Northwest National Laboratory (PNNL), specializing in artificial intelligence (AI) driven predictive and traditional modeling for complex geosystems. His research focuses on developing physics-informed machine learning (ML) models for groundwater flow, multiphase transport, thermal processes, and parameter estimation in porous media. He also develops AI, ML, and deep learning models to enhance CO₂ storage optimization, geothermal exploration, critical mineral identification using drone-based electromagnetic and hyperspectral data, and geophysical exploration utilizing electromagnetic, magnetic, and ground-penetrating radar data. 

Before joining PNNL, Mamud gained extensive experience through research roles at Los Alamos National Laboratory and the National Center for Physical Acoustics. He has mentored students, conducted short courses, and is actively engaged in professional societies, such as American Geophysical Union (AGU), Environmental and Engineering Geophysical Society (EEGS), Geological Society of America (GSA), Society of Exploration Geophysicists (SEG), and the International Association of Hydrogeologists (IAH). His contributions to geoscience research have been recognized with prestigious awards, including the David Miller Young Scientist Scholarship and the Outstanding Teaching Assistant Award. 

• Groundwater dynamics, multiphase flows, and reactive transport modeling using numerical and analytical approaches
• Physics-informed ML and deep neural operators for porous media flow, and thermal processes
• AI, ML, and deep learning applications in geophysics, hydrogeology, critical mineral exploration, geothermal energy, geologic carbon and hydrogen storage, and remote sensing
• Parameter estimation and uncertainty quantification in geoscience research

• PhD in hydrology and computational hydroscience, University of Mississippi
• MS in hydrology, University of Mississippi
• MEng in geophysics, University of Dhaka
• BS in geology, University of Dhaka

• David Miller Young Scientist Scholarship, AGU, 2022
• Student Travel Grant, Southeastern Section, Geological Society of America (GSA), 2022
• Connects Travel Support Award, GSA, 2022, The Geodetic Facility for the Advancement of Geoscience (GAGE, formerly UNAVCO)
• Outstanding Teaching Assistant Award, National Association of Geoscience Teachers, 2022 
• On To the Future Award, GSA Connects, 2022
• Academic Career Prep Award, National Association of Geoscience Teachers, 2022
• Outstanding PhD Graduate Student Award, Department of Geology and Geological Engineering, University of Mississippi, 2021 –  2022
• Outstanding PhD Graduate Student Award, Department of Geology and Geological Engineering, University of Mississippi, 2019 – 2020 
• Summer Research Assistantship Award, University of Mississippi, 2017

2024

• Mamud M., M. Mudunuru, S. Karra, and B. Ahmmed. 2024. "Quantifying local and global mass balance errors in physics-informed neural networks." Scientific Reports 14, no. _:Art. No. 15541. PNNL-SA-198826. doi:10.1038/s41598-024-65472-9