Match tier Listed
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-08-08

Nikesh Kumar

Researcher

Also affiliated: University of Engineering & Management (2018–2021); Institute of Engineering (2020)

Unknown Researcher

1 h-index 8 pubs 12 cited

Biography and Research Information

OverviewAI-generated summary

Nikesh Kumar's research focuses on reliability and inspection modeling, particularly for critical infrastructure like railway signalling systems and pipelines. His work investigates how factors such as corrosion orientation and location impact pipeline reliability, employing physics- and image-informed approaches to predict failure modes. Kumar also explores the application of artificial intelligence in engineering design, as demonstrated by his work on an AI-powered framework for open-graded friction course asphalt mixtures. He has contributed to 8 publications and has been cited 11 times, with an h-index of 1. Kumar collaborates with researchers at the University of Arkansas at Fayetteville, including Haitao Liao, Meijing Tan, and Edward Pohl.

Metrics

  • h-index: 1
  • Publications: 8
  • Citations: 12

Selected Publications

  • AI-powered design framework for open-graded friction course (OGFC) asphalt mixtures (2026)
    International Journal of Pavement Engineering DOI OpenAlex
  • Physics-and Image-Informed Reliability Prediction for Pipelines Under Competing Failure Modes (2026)
  • Modeling the Impact of Corrosion Orientation and Location on Pipeline Reliability (2025)
    1 citation DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

9 Collaborators 4 Institutions 1 Country

Top Collaborators

View profile →
View profile →
View profile →
View profile →

Similar Researchers

Based on overlapping research topics