SSEstrain: An Integrated MATLAB and Python Toolbox for Detecting Slow Slip Event Signal from Borehole Strainmeter. (Completed: 2023)
Scope: Processing strain data and looking for the slow slip event (SSE) signals captured in the Plate Boundary Observatory (PBO) borehole strainmeters near the onshore Cascadia Subduction Zone.
Crustal Structure and Moho Topographic Variation of Bangladesh: An Approach from Teleseismic Receiver Function Analysis. (Completed: 2022)
Scope: A large volume of teleseism earthquake data has been processed and analyzed to infer systematic variations in the Moho Ps arrival and reverberations.
Origin and Characterization of Clay Deposits in the Dupi Tila Formation of the Bengal Basin, Bangladesh. (Completed 2021)
Scope: Evaluated a broad aspect of the origin and characteristics of clay in the Bengal Basin through an extensive geochemical approach and established a paleo-meandering fluvial model.
Remote sensing and GIS-based landslide susceptibility mapping in a hilly district of Bangladesh: A comparison of different geospatial models. (Completed: 2021)
Scope: Prepared landslide susceptibility map by integrating parameters with spatial attributes and geospatial models.
High-resolution stratigraphic characterization of sandstone facies and sediment routing in the Neogene Surma Group of Changotaung Structure, Bangladesh. (Completed: 2021)
Scope: The project compares and contrasts the textural character of different sandstone facies to test three hypotheses to develop predictive depositional templates.
Characterization and Depositional Environment Evaluation of Hydrocarbon Potential Source Rocks of the Surma Group of Bengal Basin. (Completed: 2020)
Scope: Literature and field-based studies to highlight the petroleum habitat of Bangladesh including geochemical and geophysical data taken in rumination.
Comparative Studies of the Selected Three Mature Giant Oil Fields Across the World. (Completed: 2019)
Scope: To understand the Geology, structure, and hydrocarbon potential of the three Giant oil fields (Upper Zakum, Ekofisk, and Prudhoe Bay) to provide a comparative picture of the field with data mining approach to develop a knowledge database.