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Sreenath Vemula

Ground motion model for Peninsular India using an artificial neural network
2023 · Yellapragada Meenakshi, Sreenath Vemula, et al. · Earthquake Spectra · 32
A hybrid non‐parametric ground motion model for shallow crustal earthquakes in Europe
2023 · Vemula Sreenath, Bhargavi Podili, et al. · Earthquake Engineering & Structural Dynamics · 30
Stochastic ground motion models to NGA‐West2 and NGA‐Sub databases using Bayesian neural network
2022 · Vemula Sreenath, S. T. G. Raghukanth · Earthquake Engineering & Structural Dynamics · 21
Ground motion intensity measures for New Zealand
2021 · Sreenath Vemula, Meenakshi Yellapragada, et al. · Soil Dynamics and Earthquake Engineering · 18
Ground motion models for Fourier amplitude spectra and response spectra using Machine learning techniques
2023 · Yellapragada Meenakshi, Vemula Sreenath, et al. · Earthquake Engineering & Structural Dynamics · 16
Neural Network-Based Subduction Ground Motion Model and Its Application to New Zealand and the Andaman and Nicobar Islands
2022 · Sreenath Vemula, Sreejaya Kp, et al. · Journal of Earthquake Engineering · 16
Ground motion models for regions with limited data: Data‐driven approach
2024 · Vemula Sreenath, Jahnabi Basu, et al. · Earthquake Engineering & Structural Dynamics · 13
Generation of broadband spectra from physics-based simulations using stochastic LSTM network
2023 · Vemula Sreenath, K.P. Sreejaya, et al. · Engineering Applications of Artificial Intelligence · 11
Generation of a Response Spectrum from a Fourier Spectrum Using a Recurrent Neural Network: Application to New Zealand
2022 · Sreenath Vemula, S. T. G. Raghukanth · Pure and Applied Geophysics · 10
Fourier amplitude spectrum prediction and generation of synthetic ground motion to New Zealand
2022 · Sreenath Vemula, S. T. G. Raghukanth, et al. · Acta Geophysica · 10
Graph transformer-based flood susceptibility mapping: Application to the French Riviera and railway infrastructure under climate change
2026 · Sreenath Vemula, Filippo Gatti, et al. · Journal of Hydrology Regional Studies · 9
Breaking the Black Box: Inherently Interpretable Physics‐Constrained Machine Learning With Weighted Mixed‐Effects for Imbalanced Seismic Data
2025 · Vemula Sreenath, Filippo Gatti, et al. · Journal of Geophysical Research Machine Learning and Computation · 4
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Graph Transformer Transferability for Flood Scusceptibility mapping in contrasting regions
2026 · Vemula, Sreenath, Gatti, Filippo, et al. · HAL
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An LLM-agent interface for end-to-end probabilistic seismic hazard and risk analysis
2026 · Sreenath Vemula, Pierre Jehel, et al. · npj natural hazards.
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Anti-Anthropomorphic AI: A Christian-Ethical Denial Set and a Working Prototype
2026 · Ravi Solomon Budiga, Sreenath Vemula
ESHM20-MCP: an LLM-agent interface to the 2020 European Seismic Hazard and Risk Models
2026 · Vemula, Sreenath, Jehel, Pierre, et al. · Zenodo (CERN European Organization for Nuclear Research)
Graph Transformer-Based Flood Susceptibility Mapping: Application to the French Riviera and Railway Infrastructure Under Climate Change
2026 · Sreenath, Vemula, Gatti, Filippo, et al. · Figshare
Neural Additive Model Code
2026 · Sai Tulasi, Kammula, Sreenath, Vemula, et al. · Figshare
Graph Transformer-Based Flood Susceptibility Assessment of the French Riviera: Implications for Railway Infrastructure Resilience
2025 · Sreenath Vemula, Gatti, Filippo, et al. · HAL
Breaking the Black Box: Inherently Interpretable Physics-Constrained Machine Learning With Weighted Mixed Effects for Imbalanced Seismic Data
2025 · Sreenath, Vemula, Gatti, Filippo, et al. · Figshare
Stochastic LSTM network for flood hazard map forecast
2024 · Sreenath Vemula, Filippo Gatti, et al. · EGU General Assembly Conference Abstracts
Ground motion models for regions with limited data: Data-driven approach
2024 · Vemula, Sreenath, Basu, J., et al. · Zenodo (CERN European Organization for Nuclear Research)
Ground motion models for Fourier amplitude spectra and response spectra using Machine learning techniques
2023 · Yellapragada, M., Vemula, Sreenath, et al. · Zenodo (CERN European Organization for Nuclear Research)
Generation of broadband spectra from physics-based simulations using stochastic LSTM network
2023 · Vemula, Sreenath, Sreejaya, K. P., et al. · Zenodo (CERN European Organization for Nuclear Research)
Ground Motion Model For Data Sparse Regions: Machine Learning Approach
2023 · Vemula Sreenath, Jahnabi Basu, et al. · EGU General Assembly Conference Abstracts
Works count: 34
Citation count: 190
H-index: 10
I10-index: 10
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