Arun K. Subramaniyan, Ph.D.

Affiliations: 
2008 Aeronautics and Astronautics Purdue University, West Lafayette, IN, United States 
Area:
Aerospace Engineering, Mechanical Engineering, Materials Science Engineering
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"Arun Subramaniyan"

Parents

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Chin-Teh Sun grad student 2008 Purdue
 (Development of efficient molecular simulation techniques for engineering applications.)
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Publications

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Srivastava A, Subramaniyan AK, Wang L. (2015) Hybrid Bayesian solution to NASA Langley Research Center multidisciplinary uncertainty quantification challenge Journal of Aerospace Information Systems. 12: 114-139
Srivastava A, Subramaniyan AK, Wang L. (2015) Variance based global sensitivity analysis for uncorrelated and correlated inputs with Gaussian processes Proceedings of the Asme Turbo Expo. 7
Subramaniyan AK, Kumar NC, Wang L. (2014) Probabilistic validation of complex engineering simulations with sparse data Proceedings of the Asme Turbo Expo. 7
Srivastava A, Subramaniyan AK, Wang L. (2014) A hybrid bayesian solution to NASA langley multidisciplinary uncertainty quantification challenge 16th Aiaa Non-Deterministic Approaches Conference
Kumar NC, Subramaniyan AK, Wang L, et al. (2013) Calibrating transient models with multiple responses using bayesian inverse techniques Proceedings of the Asme Turbo Expo. 7
Kumar NC, Subramaniyan AK, Wang L. (2012) Improving high-dimensional physics models through bayesian calibration with uncertain data Proceedings of the Asme Turbo Expo. 7: 407-416
Ravishankar B, Singh G, Wang L, et al. (2012) Probabilistic validation metrics for industrial engineering analysis models Collection of Technical Papers - Aiaa/Asme/Asce/Ahs/Asc Structures, Structural Dynamics and Materials Conference
Singh G, Viana FAC, Subramaniyan AK, et al. (2012) Multimodal particle swarm optimization: Enhancements and applications 12th Aiaa Aviation Technology, Integration and Operations (Atio) Conference and 14th Aiaa/Issmo Multidisciplinary Analysis and Optimization Conference
Subramaniyan AK, Wang L, Beeson D, et al. (2011) A comparative study on accuracy and efficiency of metamodels for large industrial datasets Proceedings of the Asme Turbo Expo. 6: 759-769
Wang L, Fang X, Subramaniyan A, et al. (2011) Challenges in uncertainty, calibration, validation and predictability of engineering analysis models Proceedings of the Asme Turbo Expo. 6: 747-758
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