Bulbul Ahmmed
Staff Scientist @Los Alamos National Laboratory
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WORK HISTORY
Staff Scientist @Los Alamos National Laboratory
EDUCATION
University of Missouri-Columbia
Master’s Degree, Hydrology and Water Resources Science
Baylor University
Doctor of Philosophy (Ph.D.), Geological/Geophysical Engineering
Univsersity of Dhaka
Bachelor’s Degree, Geology/Earth Science, General
SKILLS
ABOUT BULBUL AHMMED
Currently, I am training supervised machine learning models to predict the hydrocarbon production rate and utilizing unsupervised machine learning tools to explore geothermal resources. My research interest includes scientific machine learning, deep neural networks, long short-term memory, Bayesian neural networks, unsupervised machine learning (NMFk, NTFk, and PCA), electrical resistivity inversion, fluid flow modeling, numerical inversion methods such as gradient-based and simulated annealing, parameter estimation, calibration, and uncertainty analysis of complex environmental model. Also, I am a specialist at the US Army Reserve.
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