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Shankar Sankararaman

Bio

Shankar Sankararaman received his B.S. degree in Civil Engineering from the Indian Institute of Technology, Madras in India in 2007 and recently obtained his Ph.D. in Civil Engineering from Vanderbilt University, Nashville, Tennessee, U.S.A. in 2012. His dissertation titled “Uncertainty Quantification and Integration in Engineering Systems” focuses on the various aspects of uncertainty quantification in civil, mechanical, and aerospace systems. His research interests include probabilistic methods, risk and reliability analysis, Bayesian networks, system health monitoring, diagnosis and prognosis, decision-making under uncertainty, treatment of epistemic uncertainty, and multidisciplinary analysis. He is a member of Non-Deterministic Approaches (NDA) technical committee at AIAA and a member of Probabilistic Methods Technical Committee (PMC) at ASCE. Currently, Shankar is a researcher with Stinger and Ghaffarian Technologies (SGT Inc.) at NASA Ames Research Center, Moffett Field, CA, where he develops algorithms for uncertainty assessment and management in the context of system health monitoring, prognostics, and decision-making.

Academic Background

  • Ph.D., Civil Engineering, 2012. Vanderbilt University, Nashville, Tennessee, USA.
  • B.S., Civil Engineering, 2007. Indian Institute of Technology, Madras, India.

Research Interests

Uncertainty Quantification Techniques

  • Probabilistic methods
  • Risk and reliability analysis
  • Inverse problems and parameter estimation
  • Monte Carlo methods
  • Bayesian networks and probabilistic inference
  • Epistemic uncertainty

Diagnostics, Prognostics, and Health Monitoring

  • Model-based approaches for diagnosis and prognosis
  • Online system health monitoring and management
  • Bayesian tracking (Kalman filtering, particle filtering)
  • Uncertainty quantification in diagnosis and prognosis
  • Uncertainty management in prognosis
  • Fault mitigation

Decision-Making under Uncertainty

  • Model verification, validation, and calibration
  • Design optimization under uncertainty
  • Resource allocation for testing and model refinement

Applications

  • Damage mechanics
    Fatigue and fracture, Energy dissipation
  • Structural, mechanical, and aerospace systems
    Rotor craft mast, Hydraulic actuator, Space telescope
  • Electrical and electronic components
    Lithium ion battery, MOSFET capacitor
  • Multi-Disciplinary systems
    Fluid-structure interaction, Thermal-structural interaction, Thermal-electrical interaction
  • System of systems
    Satellite system

Professional Memberships

  • Prognostics and Health Management Society (PHM Society)
  • American Institute of Aeronautics and Astronautics (AIAA)
  • American Society of Civil Engineers (ASCE)
  • TC Member, Non-Deterministic Approaches (NDA) at AIAA
  • TC Member, Probabilistic Methods Committee (PMC) at ASCE

Selected Journal Publications

Please click here for a complete list of publications.

  • S. Sankararaman, S. Mahadevan. Bayesian methodology for diagnosis uncertainty quantification and health monitoring. Structural Control and Health Monitoring. volume 20, Issue 1, Pages 88 - 106, January 2013.
  • S. Sankararaman, K. McLemore, S. Mahadevan, S.C. Bradford, L.D. Peterson. Prioritization of system integration tests using Bayesian networks. AIAA Journal. Volume 51, Issue, 3, Pages 537 - 550, March 2013.
  • S. Sankararaman, S. Mahadevan. Likelihood-based approach to multidisciplinary analysis under uncertainty. Journal of Mechanical Design. Volume 134, Issue 3, 031008 (12 pages), March 2012.
  • S. Sankararaman, Y. Ling, C. Shantz, S. Mahadevan. Uncertainty quantification in fatigue crack growth prognosis. International Journal of Prognostics and Health Management, Vol. 2 (1) 001, pages: 15, 2011.
  • S. Sankararaman, S. Mahadevan. Likelihood-based representation of epistemic uncertainty due to sparse point data and/or interval data, Reliability Engineering & System Safety, Volume 96, Issue 7, July 2011, Pages 814-824.

Selected Conference Publications

Please click here for a complete list of publications.

  • S. Sankararaman, K. Goebel. Uncertainty quantification in remaining useful Life of aerospace components using state space models and inverse FORM. In the Proceedings of the 15th Non-Deterministic Approaches Conference co-located with the 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Boston, MA, April 8 – 11, 2013. Paper No. AIAA-2013-1537.

  • S. Sankararaman, M. Daigle, K. Goebel. Analytical algorithms to quantify the uncertainty in remaining useful life prediction. In the Proceedings of the 2013 IEEE Aerospace Conference. Big Sky, MT. Mar 3 – 8, 2013.

  • S. Sankararaman, Y. Ling, S. Mahadevan. Confidence assessment in fatigue damage prognosis. In the Proceedings of the Annual Conference of the Prognostics and Health Management Society. Portland, OR, Oct 10 – 16, 2010.

Contact


Affiliation
Research Engineer II
SGT Inc.

Address
Intelligent Systems Division
Ames Research Center
Mail Stop 269-3
Bldg T35-B, Room 104
Moffett Field, CA 94035

Phone
+1-650-604-0552

Email
shankar dot sankararaman at nasa dot gov

Personal Website

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