Peer Reviewed Journals
- Zaker Esteghamati, M., & Baddipalli, S. (2025). Efficiency and explainability of designâoriented machine learning models to estimate seismic response, fragility, and loss of a steel building inventory. Earthquake Engineering & Structural Dynamics, 54(2), 618-647.https://doi.org/10.1002/eqe.4273
- Baddipalli, S., Kulariya, M., & Saha, S. K. (2023). Influence of masonry infills on blast response of earthquake-resistant reinforced concrete buildings. In Structures (Vol. 50, pp. 908-924). Elsevier.https://doi.org/10.1016/j.istruc.2023.02.078
- Aggarwal, Y., Baddipalli, S., & Saha, S. K. (2024). Construction practices and seismic vulnerability of buildings in the Indian Himalayan region: a case study. Natural Hazards Review, 25(2), 05024002.https://doi.org/10.1061/NHREFO.NHENG-1902
Peer Reviewed Conferences
- Zaker Esteghamati, M., Baddipalli, S., Namin, A., & Hassan, M. (2024). A Neural Network-based Computational Platform for Seismic Performance Assessment of Steel Structures. 18th World Conference on Earthquake EngineeringAt: Milan, Italy. Link
- Aggarwal, Y., Baddipalli, S., & Saha, S. K. (2022). Seismic Vulnerability Assessment of Important Buildings in Mandi Region, Himachal Pradesh, India. Two-day Symposium on Socio-Technological Aspect of Seismic Disaster Management, IIT Guwahati, India. Link
- Baddipalli, S., Kulariya, M., & Saha, S. K. (2023, April). Effect of Dynamic Material Strength on Blast Response of Earthquake-Resistant Reinforced Concrete Buildings. 13th Structural Engineering Convention (SEC-2023), VNIT Nagpur, India, December 07-09, 2023. 10.1007/978-981-99-9625-4_19