• 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.

"For specific methods, research aims, and goals (including methods, necessary datasets, and code), follow through with the main paper, and conference abstracts from Google Scholars/RG/Github embedded on the home page."