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Engineering and Technology
USA
2025

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Engineering and Technology

D-Index
88
Citations
29223
World Ranking
318
National Ranking
109

Research.com Recognitions

  • 2025 - Research.com Engineering and Technology in United States Leader Award

Overview

Sankaran Mahadevan is affiliated with Vanderbilt University in the United States. Their research work spans primarily the field of engineering with a significant focus on statistics, probability, and uncertainty. This includes substantial contributions to electrical and electronic engineering, mechanical engineering, industrial and manufacturing engineering, and safety, risk, reliability, and quality.

Their research topics cover a variety of specialized areas such as probabilistic and robust engineering design, manufacturing process and optimization, and advanced multi-objective optimization algorithms. They also study additive manufacturing and 3D printing technologies, including materials and processes related to additive manufacturing. Additional topics include model reduction and neural networks as well as power system reliability and maintenance.

Mahadevan has published frequently in several notable venues. These include:

  • Reliability Engineering & System Safety
  • Structural and Multidisciplinary Optimization
  • arXiv (Cornell University)
  • AIAA Journal
  • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering

Some recent papers published by Mahadevan are:

  • "Digital Twin: Generalization, characterization and implementation" (2021), Decision Support Systems
  • "A comprehensive review of digital twin-part 1: modeling and twinning enabling technologies" (2022), Structural and Multidisciplinary Optimization
  • "Bayesian network modeling of accident investigation reports for aviation safety assessment" (2020), Reliability Engineering & System Safety
  • "Bayesian neural networks for flight trajectory prediction and safety assessment" (2020), Decision Support Systems
  • "A comprehensive review of digital twin-part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives" (2022), Structural and Multidisciplinary Optimization

Frequent coauthors in Mahadevan's collaborations include:

  • Pranav Karve
  • Xiaoge Zhang
  • Paromita Nath
  • Abhinav Subramanian
  • Berkcan Kapusuzoglu

Best Publications

  • Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions

    B. J. Bichon;M. S. Eldred;L. P. Swiler;S. Mahadevan

  • Reliability Assessment Using Stochastic Finite Element Analysis

    Achintya Haldar;Sankaran Mahadevan

  • Digital Twin: Generalization, characterization and implementation

    Eric VanDerHorn;Eric VanDerHorn;Sankaran Mahadevan

  • An improved method to construct basic probability assignment based on the confusion matrix for classification problem

    Xinyang Deng;Qi Liu;Yong Deng;Sankaran Mahadevan

  • Supplier selection using AHP methodology extended by D numbers

    Xinyang Deng;Yong Hu;Yong Deng;Yong Deng;Sankaran Mahadevan

  • Short communication: Fuzzy Dijkstra algorithm for shortest path problem under uncertain environment

    Yong Deng;Yuxin Chen;Yajuan Zhang;Sankaran Mahadevan

  • Fatigue damage modelling of composite materials

    H Mao;S Mahadevan

  • Dynamic Bayesian Network for Aircraft Wing Health Monitoring Digital Twin

    Chenzhao Li;Sankaran Mahadevan;You Ling;Sergio Choze

  • A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies

    Unknown

  • Probabilistic fatigue life prediction using an equivalent initial flaw size distribution

    Yongming Liu;Sankaran Mahadevan

  • Bayesian networks for system reliability reassessment

    Sankaran Mahadevan;Ruoxue Zhang;Natasha Smith

  • Chloride-induced reinforcement corrosion and concrete cracking simulation

    Dong Chen;Sankaran Mahadevan

  • A Single-Loop Kriging Surrogate Modeling for Time-Dependent Reliability Analysis

    Zhen Hu;Sankaran Mahadevan

  • Efficient surrogate models for reliability analysis of systems with multiple failure modes

    Barron J. Bichon;John M. McFarland;Sankaran Mahadevan

  • Model uncertainty and Bayesian updating in reliability-based inspection

    Ruoxue Zhang;Sankaran Mahadevan

  • Probabilistic Physics of Failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty

    Shun-Peng Zhu;Hong-Zhong Huang;Weiwen Peng;Hai-Kun Wang

  • Multiaxial high-cycle fatigue criterion and life prediction for metals

    Yongming Liu;Sankaran Mahadevan

  • Validation of reliability computational models using Bayes networks

    Sankaran Mahadevan;Ramesh Rebba

  • Numerical simulation of cementitious materials degradation under external sulfate attack

    S. Sarkar;S. Mahadevan;J.C.L. Meeussen;H. van der Sloot

  • Uncertainty quantification and model validation of fatigue crack growth prediction

    Shankar Sankararaman;You Ling;Sankaran Mahadevan

  • Identifying influential nodes in weighted networks based on evidence theory

    Daijun Wei;Daijun Wei;Xinyang Deng;Xiaoge Zhang;Yong Deng;Yong Deng

  • A direct decoupling approach for efficient reliability-based design optimization

    T. Zou;S. Mahadevan

Frequent Co-Authors

Yong Deng
Yong Deng University of Electronic Science and Technology of China
Yongming Liu
Yongming Liu Arizona State University
Felix T.S. Chan
Felix T.S. Chan Macau University of Science and Technology
Vivek Agarwal
Vivek Agarwal Indian Institute of Technology Bombay
Xinyang Deng
Xinyang Deng Northwestern Polytechnical University
Andrew Adamatzky
Andrew Adamatzky University of the West of England
Rehan Sadiq
Rehan Sadiq University of British Columbia
Gautam Biswas
Gautam Biswas Vanderbilt University
Douglas E. Adams
Douglas E. Adams Vanderbilt University
Yong Yuan
Yong Yuan Tongji University

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