Work

Contributions:

Developed a high-performance hybrid artificial intelligence framework to conduct risk analysis of heavy-haul railway corridor.
Risk assessment of heavy-haul railway corridor against slope stability and sub-soil settlement under varying seismic conditions.
Developed an automated framework to effectively perform slope stability and settlement analysis of railway track.
Developed an efficient machine learning model to sidestep the time-consuming analysis bearing capacity of heavy-haul railway corridor.
Development of high-performance hybrid artificial intelligence frameworks to sidestep of operation of laboratory test of California bearing ratio, Soil compression index, and Shear strength parameters.

Ongoing work

INLAND: Development of Aerial imagery dataset of infrastructures and lands in India. (Under process)
ADCOM: Development of an advanced computer vision algorithm for classification of civil engineering structures. (Under process)
Analysis of soil consolidation parameter of sub-soils of railway corridor. (Manuscript under review)
Stability and settlement analysis of road embankment under different seismic conditions. (Under process)
Long-term settlement analysis of high embankments. (Under process)
Digital elevation model (DEM)-based stability assessment of Mount St. Helens using an efficient bagging-based ensemble learning paradigm. (Manuscript under review)
Intelligent Predictive Modelling of Settlement Behaviour in T-shaped Deep Cement Mixing Columns using Ensemble Machine Learning. (Manuscript under review)
Development of an efficient computer vision algorithm to detect natural moisture content in soils based on low and high-resolution images. (Under process)

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