Jayaprakash Vemuri

About

Dr. Jayaprakash Vemuri is an Associate Professor in the Civil Engineering Department at Mahindra University École Centrale School of Engineering. His research interests include characterisation of strong ground motions, generation of synthetic ground motions, nonlinear time history analysis of structures, and applications of machine learning for risk assessment.

Dr.Jayaprakash Vemuri received the Certificate in University Teaching and Learning from the University of Western Ontario in 2017. He has also received the Certificate of Research Excellence from IIT Hyderabad for four consecutive years 2015, 2016, 2017 and 2018. He received the Notre Dame CEGEOS Fellowship by the University of Notre Dame in 2011. He was awarded the Certificate of Merit for Mathematics, Central Board of Secondary Education in 2000 and the Merit Certificate in the Mathematical Olympiad by the Atomic Energy Commission in 1998.

Employment

• Mahindra University Associate Professor
  2023 - Present
• Mahindra University Assistant Professor
  2018 - 2023
• GITAM University Assistant Professor
  2011 - 2013
• University of Notre Dame Reasearch Assistant
  2010 - 2011

Education

• Indian Institute of Technology Hyderabad Graduate Student
  2013 - 2018
• Western University M.E.Sc.
  2008 - 2010
• Indian Institute of Technology Roorkee B.Tech
  2003 - 2007

Projects & Funding

Projects & funding information is unavailable.

Publications (58)

• Machine learning based prediction of vertical ground motion duration using hyperparameter optimization
  International Journal of System Assurance Engineering and Management 2026 DOI: 10.1007/s13198-026-03145-8
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• A comparative study of ground motion parameters at bedrock and surface level in Kathmandu Basin
  Natural Hazards 2025 DOI: 10.1007/s11069-025-07181-8
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• Time–Frequency Analysis of Strong Ground Motions from the 1994 Northridge Earthquake
  Springer Transactions in Civil and Environmental Engineering 2025 DOI: 10.1007/978-981-97-7658-0_12
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• The Role of Machine Learning in Obesity Prediction Across Latin American Populations: A Study on the Effectiveness of Different Approaches
  Communications in Computer and Information Science 2025 DOI: 10.1007/978-981-97-9793-6_20
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• Seismological Features and Preliminary Damage Assessment of the Devastating March 28, 2025 Myanmar Earthquake: A Comprehensive Overview
  SSRN 2025 DOI: 10.2139/ssrn.5219429
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• Exploring the association of ground motion intensity measures and demand parameters with ANN-based predictive modeling and uncertainty analysis
  Natural Hazards 2025 DOI: 10.1007/s11069-025-07150-1
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• Evaluation of intrinsic mode function for the identification of pulse-like ground motion using machine learning technique
  Stochastic Environmental Research and Risk Assessment 2025 DOI: 10.1007/s00477-025-02910-8
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• Effect of Soil Structure Interaction on the Response of a Lumped Mass Model
  Springer Transactions in Civil and Environmental Engineering 2025 DOI: 10.1007/978-981-97-7658-0_13
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• Prediction Of Maternal Health Risk Factors Using Machine Learning Algorithms
  Procedia Computer Science 2025 DOI: 10.1016/j.procs.2025.04.532
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• Reservoir outflow prediction using adaptive neuro-fuzzy interference system
  International Journal of System Assurance Engineering and Management 2024 DOI: 10.1007/s13198-024-02602-6
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