Research Work

Research Interest

Geotechnical earthquake engineering.
Liquefaction analysis and mitigation measures.
Seismic hazard assessment.
Computational geomechanics.
Engg. Seismology.
Soft-computing in geotechnics.
Finite element analysis.
Constitutive modelling.
Numerical modelling in geotechnical earthquake engineering.

Publications

MS + PhD Thesis: Will be uploaded soon.

Refereed Journal Articles :

1) Jas, K. and Dodagoudar, G. R. (2023). Explainable machine learning model for liquefaction potential assessment of soils using XGBoost-SHAP. Soil Dynamics and Earthquake Engineering. 165:107662. https://doi.org/10.1016/j.soildyn.2022.107662. (PDF of article)

2) Jas, K. and Dodagoudar, G. R. (2023). Liquefaction potential assessment of soils using machine learning techniques: A state-of-the-art review from 1994-2021. International Journal of Geomechanics. 23(7): 03123002. https://doi.org/10.1061/IJGNAI.GMENG-7788. (PDF of article)

3) Jas, K., Mangalathu, S. and Dodagoudar, G. R. (2024). Evaluation and analysis of liquefaction potential of gravelly soils using explainable probabilistic machine learning model, Computers and Geotechnics. 167: 106051. https://doi.org/10.1016/j.compgeo.2023.106051. (PDF of article)

4) Jas, K., Jana, A. and Dodagoudar, G. R. (2025). Evaluation and future prospects of data-driven intelligence-based framework for predicting cyclic behavior of reconstituted sand, International Journal for Numerical and Analytical Methods in Geomechanics. 49: 1597–1621. https://doi.org/10.1002/nag.3939. (PDF of article)

Refereed Conference Articles :

1) Jas, K., Jana, A., Dodagoudar, G. R. (2024). Prediction of shear strain and excess pore water pressure response in liquefiable sands under cyclic loading using deep learning model, Japanese Geotechnical Society Special Publication, 10 (46): 1729-1734, Released on J-STAGE June 17, 2024, Online ISSN 2188-8027, https://doi.org/10.3208/jgssp.v10.OS-35-05. (PDF of article)

2) Jas, K. and Dodagoudar, G. R. (2024). SPT- and VS-based probabilistic evaluation of soil liquefaction potential using explainable boosting machine, Proceedings of the 18th World Conference on Earthquake Engineering, (WCEE 2024), June 30 - July 5, 2024, Milan, Italy. (PDF of article)

Peer-Reviewed Reports:

1) Jas, K., Ishikawa, T. and Dodagoudar, G. R. (2025). Slope disaster risk assessment for Noto region of Ishikawa prefecture using GIS and AI technologies. Independent Research Experience Report FY2024. Hokkaido University OGGs-STSI Program. https://oggs.oia.hokudai.ac.jp/en/experience/2809.