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Google Scholar →Updated Oct 27, 2026 · from Google Scholar

Journal articles and reports

  • Efficient computation of the k-closest distances between 3D moving shapesunder review
    R. Balamurugan, D. J. Gorsich, M. P. Castanier, V. M. Korivi, S. Rajasekaran, H. T. Ilieş
    ACM Transactions on Graphics
  • End-to-end physics-guided machine learning for probabilistic fatigue prediction of additively manufactured alloysunder review
    R. Balamurugan, H. T. Ilieş, Y. Liu
    International Journal of Fatigue
  • Data-driven approaches for fatigue prediction of Ti–6Al–4V parts fabricated by laser powder bed fusion
    R. Balamurugan, J. Chen, C. Meng, Y. Liu
    International Journal of Fatigue, 182, 108167 · 2024
  • AI-enabled interactive threat detection using a multi-camera stereo vision system
    Y. Liu, Y. Yu, R. Rathnakumar, S. Neog, G. Dakshnamoorthy, R. Balamurugan
    Pipeline and Hazardous Materials Safety Administration (report) · 2022 · report

Conference papers

  • Probabilistic fatigue life prediction of AM-built alloy using physics-guided neural network
    R. Balamurugan, J. Chen, C. Meng, Y. Liu
    AIAA SciTech Forum · 2025

Conference presentations

  • Uncertainty-aware and interpretable transfer learning for digital certification of fatigue properties in additively manufactured alloys
    R. Balamurugan, Y. Liu
    ASME SSDM · 2026
  • Physics-guided machine learning with attention mechanism and Bayesian inference for fatigue life prediction of AM-built materials
    R. Balamurugan, Y. Liu
    ASME SSDM · 2025
  • Efficient computation of the k-closest distances among 3D moving shapes
    R. Balamurugan, M. P. Castanier, V. M. Korivi, H. T. Ilieş
    WCX SAE · 2025