Ravi Kanth Sriwastav

About

Ravi Kanth Sriwastav is an Assistant Professor at Pandit Deendayal Energy University (PDEU). He was previously a National Postdoctoral Fellow (NPDF-ANRF) at IIT Madras, India. His research interests are Structural Performance assessment, multi-component ground motion characterization, ground motion simulation.

Employment

• Pandit Deendayal Petroleum University Assistant Professor
  2025 - Present
• IIT Madras Institute Postdoctoral Fellow
  2024 - 2025
• National Institute of Science and Technology Assistant Professor
  2016 - 2017

Education

• Indian Institute of Technology Madras Postdoc
  2024 - 2025
• Indian Institute of Technology Gandhinagar PhD
  2017 - 2023
• Indian Institute of Technology Patna M.tech
  2014 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (29)

• Ground motion model for inelastic response spectra in the Indian subcontinent using a transfer learning approach
  Soil Dynamics and Earthquake Engineering 2026 DOI: 10.1016/j.soildyn.2026.110215
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• Ground motion parameters of Himalayan earthquakes using transfer learning and simulation of time history
  Acta Geophysica 2026 DOI: 10.1007/s11600-026-01815-6
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• Characterization of the Fourier amplitude spectrum in New Zealand using machine learning
  Geodata and AI 2026 DOI: 10.1016/j.geoai.2026.100099
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• Application of conditional generative adversarial network in ground motion modelling encompassing epistemic uncertainty
  Journal of Seismology 2025 DOI: 10.1007/s10950-025-10338-4
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• Non-parametric ground motion model for displacement response spectra and Fling for Himalayan region using machine learning
  Computers and Structures 2025 DOI: 10.1016/j.compstruc.2024.107626
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• Neural Network-Based Ground Motion Model for Central and Western Himalayas in India Using a Seismological Model
  Natural Hazards Review 2025 DOI: 10.1061/NHREFO.NHENG-2300
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• Modified Mercalli intensity-based probabilistic seismic hazard assessment and zonation of India
  Bulletin of Earthquake Engineering 2025 DOI: 10.1007/s10518-025-02166-1
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• Intensity-based seismic hazard assessment and zone map of India using SASHA approach
  Stochastic Environmental Research and Risk Assessment 2025 DOI: 10.1007/S00477-025-02934-0
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• Pseudo velocity spectrum to velocity spectrum conversion model for Indian subcontinent
  Natural Hazards 2025 DOI: 10.1007/s11069-025-07472-0
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• Ground motion modeling and epistemic uncertainty using conditional variational autoencoders
  Machine Learning: Earth 2025 DOI: 10.1088/3049-4753/adcfa5
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