PETROLEUM GEOPHYSICS · APPLIED GEOSCIENCE
Lecturer / Petroleum and Mining Engineering
Shahjalal University of Science and Technology
Sylhet, Bangladesh
Understanding the subsurface.
Connecting geophysics, data & discovery.
My work brings seismic interpretation and reservoir characterization together with data-driven subsurface analysis.
As a Lecturer in Petroleum and Mining Engineering at SUST, I connect applied geoscience with teaching, mentoring and collaborative research. My experience includes working with field seismic and well-log datasets for academic and industry-oriented studies.
I am interested in combining geophysical methods with machine learning and deep learning to improve the way we interpret and model the subsurface.
Explore the connected themes
behind my research interests.
Qualitative and quantitative seismic interpretation, attribute analysis, inversion and prospect evaluation.
The project focuses on combining seismic and well-logging data using machine-learning approaches for geophysical seismic inversion.
Petrel E&P · Hampson-Russell · IHS Kingdom · DUG Insight · RokDoc · Ikon Science IP · Globe Claritas · Leapfrog · QGIS · SNAP
Journal articles, conference research and a book chapter.
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Works listed on my SUST faculty profile, with publisher links where available. Visit Google Scholar for the wider citation record.
Education across Bangladesh, Thailand and Germany, rooted in petroleum engineering and applied geoscience.
PTT Exploration and ProductionMS Scholarship · 2016
Poster Presentation CompetitionRunner-up · SPE Dhaka University Chapter
RWTH Aachen University
Chiang Mai University
Shahjalal University of Science and Technology
*Program status as listed on the SUST faculty profile.
Supporting the academic and professional development of students and young researchers.
My academic interests bring together geophysical interpretation, subsurface modeling and computational analysis. Teaching, mentoring and collaboration are central to this work.
Start an academic conversationConnecting seismic responses, geological structure and well-log information to build an understanding of the subsurface.
Exploring how computational methods complement physical reasoning and conventional geophysical workflows.
Discussing research questions, methods and interpretation through academic exchange and collaborative inquiry.
Academic collaboration, research ideas
and student enquiries.