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Amit Kumar Rathi

Amit Kumar Rathi

Assistant Professor
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PhD (Structural Engg): Indian Institute of Technology Guwahati
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MTech(Civil Engg): Indian Institute of Technology Guwahati
biotech
Wind Energy Infrastructure, Condition Assessment and Health Monitoring, Vibration Control, Reliability-based Design Optimization
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0291 280 1656
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Web Profile

About

Dr. Amit Kumar Rathi is an Assistant Professor in the Department of Civil and Infrastructure Engineering at the Indian Institute of Technology Jodhpur, Rajasthan, India. He is also affiliated with Rishabh Centre for Research and Innovation in Clean Energy. His research focuses on structural engineering, applied mechanics, and energy infrastructure, with a particular interest in reliability analysis and design, uncertainty quantification, stochastic modeling and mechanics, laminated composite materials, structural health monitoring, and vibration control.

He earned his bachelor’s degree in civil engineering from the Faculty of Engineering, Jai Narain Vyas University, India. He then completed his master’s degree in civil engineering at the Indian Institute of Technology Guwahati. In 2019, he received his Ph.D. in Structural Engineering from IIT Guwahati.

Before joining IIT Jodhpur, he was affiliated with the National Institute of Technology, Sikkim, and the National Institute of Technology, Calicut. His research continues to make significant contributions to advancements in structural engineering and mechanics, condition assessment, and energy infrastructure.

Key Publications: 

  • S. Bisoyi, A. K. Rathi, S. Mahato, Fault diagnosis of rolling bearing failures using a multi-stage e-CNN-GRU-SAM network. Nature Portfolio Scientific Reports, 15, 33102, 2025. https://doi.org/10.1038/s41598-025-17008-y
  • A.K. Rathi, A. Chakraborty, Development of Hybrid Dimension Adaptive Sparse HDMR for Stochastic Finite Element Analysis of Composite Plate, Composite Structures, 255, 112915, 2021. https://doi.org/10.1016/j.compstruct.2020.112915
  • A.K. Rathi, A. Chakraborty, Improved Moving Least Square Based Multiple Dimension Decomposition (MDD) Technique for Structural Reliability Analysis, International Journal of Computational Methods, 18(1), 2050024, 2021. https://doi.org/10.1142/S0219876220500243
  • A.K. Rathi, A. Chakraborty, Dimension Adaptive Finite Difference Decomposition using Multiple Sparse Grids for Stochastic Computation, Structural Safety, 75, 119-132, 2018. https://doi.org/10.1016/j.strusafe.2018.06.004
  • A.K. Rathi, A. Chakraborty, Reliability-Based Performance Optimization of TMD for Vibration Control of Structures with Uncertainty in Parameters and Excitation, Structural Control and Health Monitoring, 28(1), e1857, 2017. https://doi.org/10.1002/stc.1857

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