Publications

First author on all journal articles. Full list also on Google Scholar and ORCID.

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Under review

5
  • 1 Predict, explain, prescribe: explanation as a precondition for prescriptive search in product design decision support Business & decision supportEntrepreneurshipABDC A*JCR Q1 Decision Support Systems Jayaraman, D., Ramachandran, R., & Kuruva, R.
  • 2 A detection-pathway framework for identifying accident precursors: evidence from NASA's Aviation Safety Reporting System reports Safety & transportationABDC A*JCR Q1 Accident Analysis & Prevention Jayaraman, D.
  • 3 Codimension bias in distance-based selection on moment-ratio diagrams Statistics & methodsABDC A* Journal of Computational and Graphical Statistics Jayaraman, D.
  • 4 Tail estimation versus learning-function choice in active-learning reliability analysis: a matched-budget study with L-moment peaks-over-threshold estimation Engineering & reliabilityStatistics & methodsABDC AJCR Q1 Reliability Engineering & System Safety Jayaraman, D.
  • 5 LMomFit: a dependency-free toolbox for uncertainty quantification in engineering reliability from scarce samples containing extremes Statistics & methodsEngineering & reliabilityJCR Q1 Advances in Engineering Software Jayaraman, D., & Ramu, P.

2026

3
  • 1 Human-in-the-loop generative AI framework for safety-critical design Engineering & reliabilityBusiness & decision support 2nd International Conference on Innovative Engineering Design (ICoIED-2026) Jayaraman, D.
  • 2 Risk-aware process innovation using AI-augmented decision frameworks Business & decision support ICoIED-2026 Jayaraman, D.
  • 3 From intuition to intelligence: how AI-driven product design improves entrepreneurial outcomes EntrepreneurshipBusiness & decision support DSSE Entrepreneurship Day, IIT Bombay Jayaraman, D.

2023

1

2022

1

2021

3
  • 1 L-moments-based uncertainty quantification for scarce samples including extremes Statistics & methodsEngineering & reliabilityJCR Q1 Structural and Multidisciplinary Optimization, Vol. 64(2), pp. 505–539, 2021 Jayaraman, D., & Ramu, P.doi:10.1007/s00158-021-02930-2
  • 2 L-moments enabled modified Chebyshev bounds for uncertainty quantification Statistics & methods 14th World Congress of Structural and Multidisciplinary Optimization (WCSMO-14), ISSMO Jain, N., Jayaraman, D., & Ramu, P.
  • 3 L-moments driven Bayesian inference for risk analysis with few samples in the presence of extremes Statistics & methodsEngineering & reliability WCSMO-14, ISSMO Jayaraman, D., & Ramu, P.

2019

1
  • 1 Uncertainty propagation using L-moments with scarce samples including extremes Statistics & methods 13th World Congress of Structural and Multidisciplinary Optimization (WCSMO-13), ISSMO, Beijing Jayaraman, D., & Ramu, P.

2018

2

Invited talks and workshops

Talks given by invitation, and programmes run as director. Listed separately from the peer-reviewed record above.

Decision Making under Uncertainty: A Robust Approach using L-Moments

Invited talk · Rajalakshmi Engineering College, Chennai · March 2025

Statistical Decision-Making Framework for Battery Thermal and Ageing Management using ML Models

Invited talk · RAPID Conference 2024, Caterpillar India, Chennai

Data Science for Industry — two-day workshop, as Programme Director

Onward Technologies, Chennai · December 2021